fft_kernelstring.cpp

 
//
// File:       fft_kernelstring.cpp
//
// Version:    <1.0>
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#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <iostream>
#include <sstream>
#include <string>
#include <assert.h>
#include "fft_internal.h"
#include "clFFT.h"
 
using namespace std;
 
#define max(A,B) ((A) > (B) ? (A) : (B))
#define min(A,B) ((A) < (B) ? (A) : (B))
 
static string 
num2str(int num)
{
    char temp[200];
    sprintf(temp, "%d", num);
    return string(temp);
}
 
// For any n, this function decomposes n into factors for loacal memory tranpose 
// based fft. Factors (radices) are sorted such that the first one (radixArray[0])
// is the largest. This base radix determines the number of registers used by each
// work item and product of remaining radices determine the size of work group needed.
// To make things concrete with and example, suppose n = 1024. It is decomposed into
// 1024 = 16 x 16 x 4. Hence kernel uses float2 a[16], for local in-register fft and 
// needs 16 x 4 = 64 work items per work group. So kernel first performance 64 length
// 16 ffts (64 work items working in parallel) following by transpose using local 
// memory followed by again 64 length 16 ffts followed by transpose using local memory
// followed by 256 length 4 ffts. For the last step since with size of work group is 
// 64 and each work item can array for 16 values, 64 work items can compute 256 length
// 4 ffts by each work item computing 4 length 4 ffts. 
// Similarly for n = 2048 = 8 x 8 x 8 x 4, each work group has 8 x 8 x 4 = 256 work
// iterms which each computes 256 (in-parallel) length 8 ffts in-register, followed
// by transpose using local memory, followed by 256 length 8 in-register ffts, followed
// by transpose using local memory, followed by 256 length 8 in-register ffts, followed
// by transpose using local memory, followed by 512 length 4 in-register ffts. Again,
// for the last step, each work item computes two length 4 in-register ffts and thus
// 256 work items are needed to compute all 512 ffts. 
// For n = 32 = 8 x 4, 4 work items first compute 4 in-register 
// lenth 8 ffts, followed by transpose using local memory followed by 8 in-register
// length 4 ffts, where each work item computes two length 4 ffts thus 4 work items
// can compute 8 length 4 ffts. However if work group size of say 64 is choosen, 
// each work group can compute 64/ 4 = 16 size 32 ffts (batched transform). 
// Users can play with these parameters to figure what gives best performance on
// their particular device i.e. some device have less register space thus using
// smaller base radix can avoid spilling ... some has small local memory thus 
// using smaller work group size may be required etc
 
static void 
getRadixArray(unsigned int n, unsigned int *radixArray, unsigned int *numRadices, unsigned int maxRadix)
{
    if(maxRadix > 1)
    {
        maxRadix = min(n, maxRadix);
        unsigned int cnt = 0;
        while(n > maxRadix)
        {
            radixArray[cnt++] = maxRadix;
            n /= maxRadix;
        }
        radixArray[cnt++] = n;
        *numRadices = cnt;
        return;
    }
 
    switch(n) 
    {
        case 2:
            *numRadices = 1;
            radixArray[0] = 2;
            break;
            
        case 4:
            *numRadices = 1;
            radixArray[0] = 4;
            break;
            
        case 8:
            *numRadices = 1;
            radixArray[0] = 8;
            break;
            
        case 16:
            *numRadices = 2;
            radixArray[0] = 8; radixArray[1] = 2; 
            break;
            
        case 32:
            *numRadices = 2;
            radixArray[0] = 8; radixArray[1] = 4;
            break;
            
        case 64:
            *numRadices = 2;
            radixArray[0] = 8; radixArray[1] = 8;
            break;
            
        case 128:
            *numRadices = 3;
            radixArray[0] = 8; radixArray[1] = 4; radixArray[2] = 4;
            break;
            
        case 256:
            *numRadices = 4;
            radixArray[0] = 4; radixArray[1] = 4; radixArray[2] = 4; radixArray[3] = 4;
            break;
            
        case 512:
            *numRadices = 3;
            radixArray[0] = 8; radixArray[1] = 8; radixArray[2] = 8;
            break;          
            
        case 1024:
            *numRadices = 3;
            radixArray[0] = 16; radixArray[1] = 16; radixArray[2] = 4;
            break;  
        case 2048:
            *numRadices = 4;
            radixArray[0] = 8; radixArray[1] = 8; radixArray[2] = 8; radixArray[3] = 4;
            break;
        default:
            *numRadices = 0;
            return;
    }
}
 
static void
insertHeader(string &kernelString, string &kernelName, clFFT_DataFormat dataFormat)
{
    if(dataFormat == clFFT_SplitComplexFormat) 
        kernelString += string("__kernel void ") + kernelName + string("(__global float *in_real, __global float *in_imag, __global float *out_real, __global float *out_imag, int dir, int S)\n");
    else 
        kernelString += string("__kernel void ") + kernelName + string("(__global float2 *in, __global float2 *out, int dir, int S)\n");
}
 
static void 
insertVariables(string &kStream, int maxRadix)
{
    kStream += string("    int i, j, r, indexIn, indexOut, index, tid, bNum, xNum, k, l;\n");
    kStream += string("    int s, ii, jj, offset;\n");
    kStream += string("    float2 w;\n");
    kStream += string("    float ang, angf, ang1;\n");
    kStream += string("    __local float *lMemStore, *lMemLoad;\n");
    kStream += string("    float2 a[") +  num2str(maxRadix) + string("];\n");
    kStream += string("    int lId = get_local_id( 0 );\n");
    kStream += string("    int groupId = get_group_id( 0 );\n");
}
 
static void
formattedLoad(string &kernelString, int aIndex, int gIndex, clFFT_DataFormat dataFormat)
{
    if(dataFormat == clFFT_InterleavedComplexFormat)
        kernelString += string("        a[") + num2str(aIndex) + string("] = in[") + num2str(gIndex) + string("];\n");
    else
    {
        kernelString += string("        a[") + num2str(aIndex) + string("].x = in_real[") + num2str(gIndex) + string("];\n");
        kernelString += string("        a[") + num2str(aIndex) + string("].y = in_imag[") + num2str(gIndex) + string("];\n");
    }
}
 
static void
formattedStore(string &kernelString, int aIndex, int gIndex, clFFT_DataFormat dataFormat)
{
    if(dataFormat == clFFT_InterleavedComplexFormat)
        kernelString += string("        out[") + num2str(gIndex) + string("] = a[") + num2str(aIndex) + string("];\n");
    else
    {
        kernelString += string("        out_real[") + num2str(gIndex) + string("] = a[") + num2str(aIndex) + string("].x;\n");
        kernelString += string("        out_imag[") + num2str(gIndex) + string("] = a[") + num2str(aIndex) + string("].y;\n");
    }
}
 
static int
insertGlobalLoadsAndTranspose(string &kernelString, int N, int numWorkItemsPerXForm, int numXFormsPerWG, int R0, int mem_coalesce_width, clFFT_DataFormat dataFormat)
{
    int log2NumWorkItemsPerXForm = (int) log2(numWorkItemsPerXForm);
    int groupSize = numWorkItemsPerXForm * numXFormsPerWG;
    int i, j;
    int lMemSize = 0;
    
    if(numXFormsPerWG > 1)
        kernelString += string("        s = S & ") + num2str(numXFormsPerWG - 1) + string(";\n");
    
    if(numWorkItemsPerXForm >= mem_coalesce_width)
    {           
        if(numXFormsPerWG > 1)
        {
            kernelString += string("    ii = lId & ") + num2str(numWorkItemsPerXForm-1) + string(";\n");
            kernelString += string("    jj = lId >> ") + num2str(log2NumWorkItemsPerXForm) + string(";\n");
            kernelString += string("    if( !s || (groupId < get_num_groups(0)-1) || (jj < s) ) {\n");
            kernelString += string("        offset = mad24( mad24(groupId, ") + num2str(numXFormsPerWG) + string(", jj), ") + num2str(N) + string(", ii );\n");
            if(dataFormat == clFFT_InterleavedComplexFormat)
            {
                kernelString += string("        in += offset;\n");
                kernelString += string("        out += offset;\n");
            }
            else
            {
                kernelString += string("        in_real += offset;\n");
                kernelString += string("        in_imag += offset;\n");
                kernelString += string("        out_real += offset;\n");
                kernelString += string("        out_imag += offset;\n");
            }
            for(i = 0; i < R0; i++)
                formattedLoad(kernelString, i, i*numWorkItemsPerXForm, dataFormat);
            kernelString += string("    }\n");
        }
        else
        {
            kernelString += string("    ii = lId;\n");
            kernelString += string("    jj = 0;\n");
            kernelString += string("    offset =  mad24(groupId, ") + num2str(N) + string(", ii);\n");
            if(dataFormat == clFFT_InterleavedComplexFormat)
            {
                kernelString += string("        in += offset;\n");
                kernelString += string("        out += offset;\n");
            }
            else
            {
                kernelString += string("        in_real += offset;\n");
                kernelString += string("        in_imag += offset;\n");
                kernelString += string("        out_real += offset;\n");
                kernelString += string("        out_imag += offset;\n");
            }
            for(i = 0; i < R0; i++)
                formattedLoad(kernelString, i, i*numWorkItemsPerXForm, dataFormat);
        }
    }
    else if( N >= mem_coalesce_width )
    {
        int numInnerIter = N / mem_coalesce_width;
        int numOuterIter = numXFormsPerWG / ( groupSize / mem_coalesce_width );
        
        kernelString += string("    ii = lId & ") + num2str(mem_coalesce_width - 1) + string(";\n");
        kernelString += string("    jj = lId >> ") + num2str((int)log2(mem_coalesce_width)) + string(";\n");
        kernelString += string("    lMemStore = sMem + mad24( jj, ") + num2str(N + numWorkItemsPerXForm) + string(", ii );\n");
        kernelString += string("    offset = mad24( groupId, ") + num2str(numXFormsPerWG) + string(", jj);\n");
        kernelString += string("    offset = mad24( offset, ") + num2str(N) + string(", ii );\n");
        if(dataFormat == clFFT_InterleavedComplexFormat)
        {
            kernelString += string("        in += offset;\n");
            kernelString += string("        out += offset;\n");
        }
        else
        {
            kernelString += string("        in_real += offset;\n");
            kernelString += string("        in_imag += offset;\n");
            kernelString += string("        out_real += offset;\n");
            kernelString += string("        out_imag += offset;\n");
        }
        
        kernelString += string("if((groupId == get_num_groups(0)-1) && s) {\n");
        for(i = 0; i < numOuterIter; i++ )
        {
            kernelString += string("    if( jj < s ) {\n");
            for(j = 0; j < numInnerIter; j++ ) 
                formattedLoad(kernelString, i * numInnerIter + j, j * mem_coalesce_width + i * ( groupSize / mem_coalesce_width ) * N, dataFormat);
            kernelString += string("    }\n"); 
            if(i != numOuterIter - 1)
                kernelString += string("    jj += ") + num2str(groupSize / mem_coalesce_width) + string(";\n");          
        }
        kernelString += string("}\n ");
        kernelString += string("else {\n");
        for(i = 0; i < numOuterIter; i++ )
        {
            for(j = 0; j < numInnerIter; j++ ) 
                formattedLoad(kernelString, i * numInnerIter + j, j * mem_coalesce_width + i * ( groupSize / mem_coalesce_width ) * N, dataFormat);         
        }       
        kernelString += string("}\n");
        
        kernelString += string("    ii = lId & ") + num2str(numWorkItemsPerXForm - 1) + string(";\n");
        kernelString += string("    jj = lId >> ") + num2str(log2NumWorkItemsPerXForm) + string(";\n");
        kernelString += string("    lMemLoad  = sMem + mad24( jj, ") + num2str(N + numWorkItemsPerXForm) + string(", ii);\n");  
        
        for( i = 0; i < numOuterIter; i++ )
        {
            for( j = 0; j < numInnerIter; j++ )
            {   
                kernelString += string("    lMemStore[") + num2str(j * mem_coalesce_width + i * ( groupSize / mem_coalesce_width ) * (N + numWorkItemsPerXForm )) + string("] = a[") + 
                                num2str(i * numInnerIter + j) + string("].x;\n");
            }
        }   
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n");
        
        for( i = 0; i < R0; i++ )
            kernelString += string("    a[") + num2str(i) + string("].x = lMemLoad[") + num2str(i * numWorkItemsPerXForm) + string("];\n");            
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n");  
 
        for( i = 0; i < numOuterIter; i++ )
        {
            for( j = 0; j < numInnerIter; j++ )
            {   
                kernelString += string("    lMemStore[") + num2str(j * mem_coalesce_width + i * ( groupSize / mem_coalesce_width ) * (N + numWorkItemsPerXForm )) + string("] = a[") + 
                                num2str(i * numInnerIter + j) + string("].y;\n");
            }
        }   
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n");
                                                                                           
        for( i = 0; i < R0; i++ )
            kernelString += string("    a[") + num2str(i) + string("].y = lMemLoad[") + num2str(i * numWorkItemsPerXForm) + string("];\n");            
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n");  
        
        lMemSize = (N + numWorkItemsPerXForm) * numXFormsPerWG;
    }  
    else
    {
        kernelString += string("    offset = mad24( groupId,  ") + num2str(N * numXFormsPerWG) + string(", lId );\n");
        if(dataFormat == clFFT_InterleavedComplexFormat)
        {
            kernelString += string("        in += offset;\n");
            kernelString += string("        out += offset;\n");
        }
        else
        {
            kernelString += string("        in_real += offset;\n");
            kernelString += string("        in_imag += offset;\n");
            kernelString += string("        out_real += offset;\n");
            kernelString += string("        out_imag += offset;\n");
        }
        
        kernelString += string("    ii = lId & ") + num2str(N-1) + string(";\n");
        kernelString += string("    jj = lId >> ") + num2str((int)log2(N)) + string(";\n");
        kernelString += string("    lMemStore = sMem + mad24( jj, ") + num2str(N + numWorkItemsPerXForm) + string(", ii );\n");
        
        kernelString += string("if((groupId == get_num_groups(0)-1) && s) {\n");
        for( i = 0; i < R0; i++ )
        {
            kernelString += string("    if(jj < s )\n");
            formattedLoad(kernelString, i, i*groupSize, dataFormat);
            if(i != R0 - 1)
                kernelString += string("    jj += ") + num2str(groupSize / N) + string(";\n");
        }
        kernelString += string("}\n");
        kernelString += string("else {\n");
        for( i = 0; i < R0; i++ )
        {
            formattedLoad(kernelString, i, i*groupSize, dataFormat);
        }       
        kernelString += string("}\n");
        
        if(numWorkItemsPerXForm > 1)
        {
            kernelString += string("    ii = lId & ") + num2str(numWorkItemsPerXForm - 1) + string(";\n");
            kernelString += string("    jj = lId >> ") + num2str(log2NumWorkItemsPerXForm) + string(";\n");
            kernelString += string("    lMemLoad = sMem + mad24( jj, ") + num2str(N + numWorkItemsPerXForm) + string(", ii );\n"); 
        }
        else 
        {
            kernelString += string("    ii = 0;\n");
            kernelString += string("    jj = lId;\n");
            kernelString += string("    lMemLoad = sMem + mul24( jj, ") + num2str(N + numWorkItemsPerXForm) + string(");\n");           
        }
 
        
        for( i = 0; i < R0; i++ )
            kernelString += string("    lMemStore[") + num2str(i * ( groupSize / N ) * ( N + numWorkItemsPerXForm )) + string("] = a[") + num2str(i) + string("].x;\n"); 
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n"); 
        
        for( i = 0; i < R0; i++ )
            kernelString += string("    a[") + num2str(i) + string("].x = lMemLoad[") + num2str(i * numWorkItemsPerXForm) + string("];\n");
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n");
        
        for( i = 0; i < R0; i++ )
            kernelString += string("    lMemStore[") + num2str(i * ( groupSize / N ) * ( N + numWorkItemsPerXForm )) + string("] = a[") + num2str(i) + string("].y;\n"); 
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n"); 
        
        for( i = 0; i < R0; i++ )
            kernelString += string("    a[") + num2str(i) + string("].y = lMemLoad[") + num2str(i * numWorkItemsPerXForm) + string("];\n");
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n");
        
        lMemSize = (N + numWorkItemsPerXForm) * numXFormsPerWG;
    }
    
    return lMemSize;
}
 
static int
insertGlobalStoresAndTranspose(string &kernelString, int N, int maxRadix, int Nr, int numWorkItemsPerXForm, int numXFormsPerWG, int mem_coalesce_width, clFFT_DataFormat dataFormat)
{
    int groupSize = numWorkItemsPerXForm * numXFormsPerWG;
    int i, j, k, ind;
    int lMemSize = 0;
    int numIter = maxRadix / Nr;
    string indent = string("");
    
    if( numWorkItemsPerXForm >= mem_coalesce_width )
    {   
        if(numXFormsPerWG > 1)
        {
            kernelString += string("    if( !s || (groupId < get_num_groups(0)-1) || (jj < s) ) {\n");
            indent = string("    ");
        }   
        for(i = 0; i < maxRadix; i++) 
        {
            j = i % numIter;
            k = i / numIter;
            ind = j * Nr + k;
            formattedStore(kernelString, ind, i*numWorkItemsPerXForm, dataFormat);
        }
        if(numXFormsPerWG > 1)
            kernelString += string("    }\n");
    }
    else if( N >= mem_coalesce_width )
    {
        int numInnerIter = N / mem_coalesce_width;
        int numOuterIter = numXFormsPerWG / ( groupSize / mem_coalesce_width );
        
        kernelString += string("    lMemLoad  = sMem + mad24( jj, ") + num2str(N + numWorkItemsPerXForm) + string(", ii );\n");  
        kernelString += string("    ii = lId & ") + num2str(mem_coalesce_width - 1) + string(";\n");
        kernelString += string("    jj = lId >> ") + num2str((int)log2(mem_coalesce_width)) + string(";\n");
        kernelString += string("    lMemStore = sMem + mad24( jj,") + num2str(N + numWorkItemsPerXForm) + string(", ii );\n");
        
        for( i = 0; i < maxRadix; i++ )
        {
            j = i % numIter;
            k = i / numIter;
            ind = j * Nr + k;
            kernelString += string("    lMemLoad[") + num2str(i*numWorkItemsPerXForm) + string("] = a[") + num2str(ind) + string("].x;\n");            
        }   
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n");         
        
        for( i = 0; i < numOuterIter; i++ )
            for( j = 0; j < numInnerIter; j++ )
                kernelString += string("    a[") + num2str(i*numInnerIter + j) + string("].x = lMemStore[") + num2str(j*mem_coalesce_width + i*( groupSize / mem_coalesce_width )*(N + numWorkItemsPerXForm)) + string("];\n");
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n");
        
        for( i = 0; i < maxRadix; i++ )
        {
            j = i % numIter;
            k = i / numIter;
            ind = j * Nr + k;
            kernelString += string("    lMemLoad[") + num2str(i*numWorkItemsPerXForm) + string("] = a[") + num2str(ind) + string("].y;\n");            
        }   
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n");         
        
        for( i = 0; i < numOuterIter; i++ )
            for( j = 0; j < numInnerIter; j++ )
                kernelString += string("    a[") + num2str(i*numInnerIter + j) + string("].y = lMemStore[") + num2str(j*mem_coalesce_width + i*( groupSize / mem_coalesce_width )*(N + numWorkItemsPerXForm)) + string("];\n");
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n"); 
        
        kernelString += string("if((groupId == get_num_groups(0)-1) && s) {\n");
        for(i = 0; i < numOuterIter; i++ )
        {
            kernelString += string("    if( jj < s ) {\n");
            for(j = 0; j < numInnerIter; j++ ) 
                formattedStore(kernelString, i*numInnerIter + j, j*mem_coalesce_width + i*(groupSize/mem_coalesce_width)*N, dataFormat); 
            kernelString += string("    }\n"); 
            if(i != numOuterIter - 1)
                kernelString += string("    jj += ") + num2str(groupSize / mem_coalesce_width) + string(";\n");          
        }
        kernelString += string("}\n");
        kernelString += string("else {\n");
        for(i = 0; i < numOuterIter; i++ )
        {
            for(j = 0; j < numInnerIter; j++ ) 
                formattedStore(kernelString, i*numInnerIter + j, j*mem_coalesce_width + i*(groupSize/mem_coalesce_width)*N, dataFormat); 
        }       
        kernelString += string("}\n");
        
        lMemSize = (N + numWorkItemsPerXForm) * numXFormsPerWG;
    }       
    else
    {   
        kernelString += string("    lMemLoad  = sMem + mad24( jj,") + num2str(N + numWorkItemsPerXForm) + string(", ii );\n");  
        
        kernelString += string("    ii = lId & ") + num2str(N - 1) + string(";\n");
        kernelString += string("    jj = lId >> ") + num2str((int) log2(N)) + string(";\n");
        kernelString += string("    lMemStore = sMem + mad24( jj,") + num2str(N + numWorkItemsPerXForm) + string(", ii );\n");
        
        for( i = 0; i < maxRadix; i++ )
        {
            j = i % numIter;
            k = i / numIter;
            ind = j * Nr + k;
            kernelString += string("    lMemLoad[") + num2str(i*numWorkItemsPerXForm) + string("] = a[") + num2str(ind) + string("].x;\n");
        }   
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n");
        
        for( i = 0; i < maxRadix; i++ )
            kernelString += string("    a[") + num2str(i) + string("].x = lMemStore[") + num2str(i*( groupSize / N )*( N + numWorkItemsPerXForm )) + string("];\n"); 
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n"); 
        
        for( i = 0; i < maxRadix; i++ )
        {
            j = i % numIter;
            k = i / numIter;
            ind = j * Nr + k;
            kernelString += string("    lMemLoad[") + num2str(i*numWorkItemsPerXForm) + string("] = a[") + num2str(ind) + string("].y;\n");
        }   
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n");
        
        for( i = 0; i < maxRadix; i++ )
            kernelString += string("    a[") + num2str(i) + string("].y = lMemStore[") + num2str(i*( groupSize / N )*( N + numWorkItemsPerXForm )) + string("];\n"); 
        kernelString += string("    barrier( CLK_LOCAL_MEM_FENCE );\n"); 
        
        kernelString += string("if((groupId == get_num_groups(0)-1) && s) {\n");
        for( i = 0; i < maxRadix; i++ )
        {
            kernelString += string("    if(jj < s ) {\n");
            formattedStore(kernelString, i, i*groupSize, dataFormat);
            kernelString += string("    }\n");
            if( i != maxRadix - 1)
                kernelString += string("    jj +=") + num2str(groupSize / N) + string(";\n");
        } 
        kernelString += string("}\n");
        kernelString += string("else {\n");
        for( i = 0; i < maxRadix; i++ )
        {
            formattedStore(kernelString, i, i*groupSize, dataFormat);
        }       
        kernelString += string("}\n");
        
        lMemSize = (N + numWorkItemsPerXForm) * numXFormsPerWG;
    }
    
    return lMemSize;
}
 
static void 
insertfftKernel(string &kernelString, int Nr, int numIter)
{
    int i;
    for(i = 0; i < numIter; i++) 
    {
        kernelString += string("    fftKernel") + num2str(Nr) + string("(a+") + num2str(i*Nr) + string(", dir);\n");
    }
}
 
static void
insertTwiddleKernel(string &kernelString, int Nr, int numIter, int Nprev, int len, int numWorkItemsPerXForm)
{
    int z, k;
    int logNPrev = (int)log2(Nprev);
    
    for(z = 0; z < numIter; z++) 
    {
        if(z == 0)
        {
            if(Nprev > 1)
                kernelString += string("    angf = (float) (ii >> ") + num2str(logNPrev) + string(");\n");
            else
                kernelString += string("    angf = (float) ii;\n");
        }   
        else
        {
            if(Nprev > 1)
                kernelString += string("    angf = (float) ((") + num2str(z*numWorkItemsPerXForm) + string(" + ii) >>") + num2str(logNPrev) + string(");\n"); 
            else
                kernelString += string("    angf = (float) (") + num2str(z*numWorkItemsPerXForm) + string(" + ii);\n");
        }   
    
        for(k = 1; k < Nr; k++) {
            int ind = z*Nr + k;
            //float fac =  (float) (2.0 * M_PI * (double) k / (double) len);
            kernelString += string("    ang = dir * ( 2.0f * M_PI * ") + num2str(k) + string(".0f / ") + num2str(len) + string(".0f )") + string(" * angf;\n");
            kernelString += string("    w = (float2)(native_cos(ang), native_sin(ang));\n");
            kernelString += string("    a[") + num2str(ind) + string("] = complexMul(a[") + num2str(ind) + string("], w);\n");
        }
    }
}
 
static int
getPadding(int numWorkItemsPerXForm, int Nprev, int numWorkItemsReq, int numXFormsPerWG, int Nr, int numBanks, int *offset, int *midPad)
{
    if((numWorkItemsPerXForm <= Nprev) || (Nprev >= numBanks))
        *offset = 0;
    else {
        int numRowsReq = ((numWorkItemsPerXForm < numBanks) ? numWorkItemsPerXForm : numBanks) / Nprev;
        int numColsReq = 1;
        if(numRowsReq > Nr)
            numColsReq = numRowsReq / Nr;
        numColsReq = Nprev * numColsReq;
        *offset = numColsReq;
    }
    
    if(numWorkItemsPerXForm >= numBanks || numXFormsPerWG == 1)
        *midPad = 0;
    else {
        int bankNum = ( (numWorkItemsReq + *offset) * Nr ) & (numBanks - 1);
        if( bankNum >= numWorkItemsPerXForm )
            *midPad = 0;
        else
            *midPad = numWorkItemsPerXForm - bankNum;
    }
    
    int lMemSize = ( numWorkItemsReq + *offset) * Nr * numXFormsPerWG + *midPad * (numXFormsPerWG - 1);
    return lMemSize;
}
 
 
static void 
insertLocalStores(string &kernelString, int numIter, int Nr, int numWorkItemsPerXForm, int numWorkItemsReq, int offset, string &comp)
{
    int z, k;
 
    for(z = 0; z < numIter; z++) {
        for(k = 0; k < Nr; k++) {
            int index = k*(numWorkItemsReq + offset) + z*numWorkItemsPerXForm;
            kernelString += string("    lMemStore[") + num2str(index) + string("] = a[") + num2str(z*Nr + k) + string("].") + comp + string(";\n");
        }
    }
    kernelString += string("    barrier(CLK_LOCAL_MEM_FENCE);\n");
}
 
static void 
insertLocalLoads(string &kernelString, int n, int Nr, int Nrn, int Nprev, int Ncurr, int numWorkItemsPerXForm, int numWorkItemsReq, int offset, string &comp)
{
    int numWorkItemsReqN = n / Nrn;                                     
    int interBlockHNum = max( Nprev / numWorkItemsPerXForm, 1 );            
    int interBlockHStride = numWorkItemsPerXForm;                           
    int vertWidth = max(numWorkItemsPerXForm / Nprev, 1);                   
    vertWidth = min( vertWidth, Nr);                                    
    int vertNum = Nr / vertWidth;                                       
    int vertStride = ( n / Nr + offset ) * vertWidth;                   
    int iter = max( numWorkItemsReqN / numWorkItemsPerXForm, 1);
    int intraBlockHStride = (numWorkItemsPerXForm / (Nprev*Nr)) > 1 ? (numWorkItemsPerXForm / (Nprev*Nr)) : 1;
    intraBlockHStride *= Nprev;
    
    int stride = numWorkItemsReq / Nrn;                                 
    int i;
    for(i = 0; i < iter; i++) {
        int ii = i / (interBlockHNum * vertNum);
        int zz = i % (interBlockHNum * vertNum);
        int jj = zz % interBlockHNum;
        int kk = zz / interBlockHNum;
        int z;
        for(z = 0; z < Nrn; z++) {
            int st = kk * vertStride + jj * interBlockHStride + ii * intraBlockHStride + z * stride;
            kernelString += string("    a[") + num2str(i*Nrn + z) + string("].") + comp + string(" = lMemLoad[") + num2str(st) + string("];\n");
        }
    }
    kernelString += string("    barrier(CLK_LOCAL_MEM_FENCE);\n");
}
 
static void
insertLocalLoadIndexArithmatic(string &kernelString, int Nprev, int Nr, int numWorkItemsReq, int numWorkItemsPerXForm, int numXFormsPerWG, int offset, int midPad)
{   
    int Ncurr = Nprev * Nr;
    int logNcurr = (int)log2(Ncurr);
    int logNprev = (int)log2(Nprev);
    int incr = (numWorkItemsReq + offset) * Nr + midPad;
    
    if(Ncurr < numWorkItemsPerXForm) 
    {
        if(Nprev == 1)
            kernelString += string("    j = ii & ") + num2str(Ncurr - 1) + string(";\n");
        else
            kernelString += string("    j = (ii & ") + num2str(Ncurr - 1) + string(") >> ") + num2str(logNprev) + string(";\n");
        
        if(Nprev == 1) 
            kernelString += string("    i = ii >> ") + num2str(logNcurr) + string(";\n");
        else 
            kernelString += string("    i = mad24(ii >> ") + num2str(logNcurr) + string(", ") + num2str(Nprev) + string(", ii & ") + num2str(Nprev - 1) + string(");\n"); 
    }   
    else 
    {
        if(Nprev == 1)
            kernelString += string("    j = ii;\n");
        else
            kernelString += string("    j = ii >> ") + num2str(logNprev) + string(";\n");
        if(Nprev == 1) 
            kernelString += string("    i = 0;\n"); 
        else 
            kernelString += string("    i = ii & ") + num2str(Nprev - 1) + string(";\n");
    }
 
    if(numXFormsPerWG > 1)
        kernelString += string("    i = mad24(jj, ") + num2str(incr) + string(", i);\n");       
 
    kernelString += string("    lMemLoad = sMem + mad24(j, ") + num2str(numWorkItemsReq + offset) + string(", i);\n"); 
}
 
static void
insertLocalStoreIndexArithmatic(string &kernelString, int numWorkItemsReq, int numXFormsPerWG, int Nr, int offset, int midPad)
{
    if(numXFormsPerWG == 1) {
        kernelString += string("    lMemStore = sMem + ii;\n");     
    }
    else {
        kernelString += string("    lMemStore = sMem + mad24(jj, ") + num2str((numWorkItemsReq + offset)*Nr + midPad) + string(", ii);\n"); 
    }
}
 
 
static void
createLocalMemfftKernelString(cl_fft_plan *plan)
{
    unsigned int radixArray[10];
    unsigned int numRadix;
     
    unsigned int n = plan->n.x;
    
    assert(n <= plan->max_work_item_per_workgroup * plan->max_radix && "signal lenght too big for local mem fft\n");
    
    getRadixArray(n, radixArray, &numRadix, 0);
    assert(numRadix > 0 && "no radix array supplied\n");
    
    if(n/radixArray[0] > plan->max_work_item_per_workgroup)
        getRadixArray(n, radixArray, &numRadix, plan->max_radix);
 
    assert(radixArray[0] <= plan->max_radix && "max radix choosen is greater than allowed\n");
    assert(n/radixArray[0] <= plan->max_work_item_per_workgroup && "required work items per xform greater than maximum work items allowed per work group for local mem fft\n");
    
    unsigned int tmpLen = 1;
    unsigned int i;
    for(i = 0; i < numRadix; i++)
    {   
        assert( radixArray[i] && !( (radixArray[i] - 1) & radixArray[i] ) );
        tmpLen *= radixArray[i];
    }
    assert(tmpLen == n && "product of radices choosen doesnt match the length of signal\n");
    
    int offset, midPad;
    string localString(""), kernelName("");
    
    clFFT_DataFormat dataFormat = plan->format;
    string *kernelString = plan->kernel_string;
    
    
    cl_fft_kernel_info **kInfo = &plan->kernel_info;
    int kCount = 0;
    
    while(*kInfo)
    {
        kInfo = &(*kInfo)->next;
        kCount++;
    }
    
    kernelName = string("fft") + num2str(kCount);
    
    *kInfo = (cl_fft_kernel_info *) malloc(sizeof(cl_fft_kernel_info));
    (*kInfo)->kernel = 0;
    (*kInfo)->lmem_size = 0;
    (*kInfo)->num_workgroups = 0;
    (*kInfo)->num_workitems_per_workgroup = 0;
    (*kInfo)->dir = cl_fft_kernel_x;
    (*kInfo)->in_place_possible = 1;
    (*kInfo)->next = NULL;
    (*kInfo)->kernel_name = (char *) malloc(sizeof(char)*(kernelName.size()+1));
    strcpy((*kInfo)->kernel_name, kernelName.c_str());
    
    unsigned int numWorkItemsPerXForm = n / radixArray[0];
    unsigned int numWorkItemsPerWG = numWorkItemsPerXForm <= 64 ? 64 : numWorkItemsPerXForm; 
    assert(numWorkItemsPerWG <= plan->max_work_item_per_workgroup);
    int numXFormsPerWG = numWorkItemsPerWG / numWorkItemsPerXForm;
    (*kInfo)->num_workgroups = 1;
    (*kInfo)->num_xforms_per_workgroup = numXFormsPerWG;
    (*kInfo)->num_workitems_per_workgroup = numWorkItemsPerWG;
    
    unsigned int *N = radixArray;
    unsigned int maxRadix = N[0];
    unsigned int lMemSize = 0;
        
    insertVariables(localString, maxRadix);
    
    lMemSize = insertGlobalLoadsAndTranspose(localString, n, numWorkItemsPerXForm, numXFormsPerWG, maxRadix, plan->min_mem_coalesce_width, dataFormat);
    (*kInfo)->lmem_size = (lMemSize > (*kInfo)->lmem_size) ? lMemSize : (*kInfo)->lmem_size;
    
    string xcomp = string("x");
    string ycomp = string("y");
    
    unsigned int Nprev = 1;
    unsigned int len = n;
    unsigned int r;
    for(r = 0; r < numRadix; r++) 
    {
        int numIter = N[0] / N[r];
        int numWorkItemsReq = n / N[r];
        int Ncurr = Nprev * N[r];
        insertfftKernel(localString, N[r], numIter);
        
        if(r < (numRadix - 1)) {
            insertTwiddleKernel(localString, N[r], numIter, Nprev, len, numWorkItemsPerXForm);
            lMemSize = getPadding(numWorkItemsPerXForm, Nprev, numWorkItemsReq, numXFormsPerWG, N[r], plan->num_local_mem_banks, &offset, &midPad);
            (*kInfo)->lmem_size = (lMemSize > (*kInfo)->lmem_size) ? lMemSize : (*kInfo)->lmem_size;
            insertLocalStoreIndexArithmatic(localString, numWorkItemsReq, numXFormsPerWG, N[r], offset, midPad);
            insertLocalLoadIndexArithmatic(localString, Nprev, N[r], numWorkItemsReq, numWorkItemsPerXForm, numXFormsPerWG, offset, midPad);
            insertLocalStores(localString, numIter, N[r], numWorkItemsPerXForm, numWorkItemsReq, offset, xcomp);
            insertLocalLoads(localString, n, N[r], N[r+1], Nprev, Ncurr, numWorkItemsPerXForm, numWorkItemsReq, offset, xcomp);
            insertLocalStores(localString, numIter, N[r], numWorkItemsPerXForm, numWorkItemsReq, offset, ycomp);
            insertLocalLoads(localString, n, N[r], N[r+1], Nprev, Ncurr, numWorkItemsPerXForm, numWorkItemsReq, offset, ycomp);
            Nprev = Ncurr;
            len = len / N[r];
        }
    }
    
    lMemSize = insertGlobalStoresAndTranspose(localString, n, maxRadix, N[numRadix - 1], numWorkItemsPerXForm, numXFormsPerWG, plan->min_mem_coalesce_width, dataFormat);
    (*kInfo)->lmem_size = (lMemSize > (*kInfo)->lmem_size) ? lMemSize : (*kInfo)->lmem_size;
    
    insertHeader(*kernelString, kernelName, dataFormat);
    *kernelString += string("{\n");
    if((*kInfo)->lmem_size)
        *kernelString += string("    __local float sMem[") + num2str((*kInfo)->lmem_size) + string("];\n");
    *kernelString += localString;
    *kernelString += string("}\n");
}
 
// For n larger than what can be computed using local memory fft, global transposes
// multiple kernel launces is needed. For these sizes, n can be decomposed using
// much larger base radices i.e. say n = 262144 = 128 x 64 x 32. Thus three kernel
// launches will be needed, first computing 64 x 32, length 128 ffts, second computing
// 128 x 32 length 64 ffts, and finally a kernel computing 128 x 64 length 32 ffts. 
// Each of these base radices can futher be divided into factors so that each of these 
// base ffts can be computed within one kernel launch using in-register ffts and local 
// memory transposes i.e for the first kernel above which computes 64 x 32 ffts on length 
// 128, 128 can be decomposed into 128 = 16 x 8 i.e. 8 work items can compute 8 length 
// 16 ffts followed by transpose using local memory followed by each of these eight 
// work items computing 2 length 8 ffts thus computing 16 length 8 ffts in total. This 
// means only 8 work items are needed for computing one length 128 fft. If we choose
// work group size of say 64, we can compute 64/8 = 8 length 128 ffts within one
// work group. Since we need to compute 64 x 32 length 128 ffts in first kernel, this 
// means we need to launch 64 x 32 / 8 = 256 work groups with 64 work items in each 
// work group where each work group is computing 8 length 128 ffts where each length
// 128 fft is computed by 8 work items. Same logic can be applied to other two kernels
// in this example. Users can play with difference base radices and difference 
// decompositions of base radices to generates different kernels and see which gives
// best performance. Following function is just fixed to use 128 as base radix
 
void
getGlobalRadixInfo(int n, int *radix, int *R1, int *R2, int *numRadices)
{
    int baseRadix = min(n, 128);
    
    int numR = 0;
    int N = n;
    while(N > baseRadix) 
    {
        N /= baseRadix;
        numR++;
    }
    
    for(int i = 0; i < numR; i++)
        radix[i] = baseRadix;
    
    radix[numR] = N;
    numR++;
    *numRadices = numR;
        
    for(int i = 0; i < numR; i++)
    {
        int B = radix[i];
        if(B <= 8)
        {
            R1[i] = B;
            R2[i] = 1;
            continue;
        }
        
        int r1 = 2; 
        int r2 = B / r1;
        while(r2 > r1)
        {
           r1 *=2;
           r2 = B / r1;
        }
        R1[i] = r1;
        R2[i] = r2;
    }   
}
 
static void
createGlobalFFTKernelString(cl_fft_plan *plan, int n, int BS, cl_fft_kernel_dir dir, int vertBS)
{       
    int i, j, k, t;
    int radixArr[10] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
    int R1Arr[10] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
    int R2Arr[10] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
    int radix, R1, R2;
    int numRadices;
    
    int maxThreadsPerBlock = plan->max_work_item_per_workgroup;
    int maxArrayLen = plan->max_radix;
    int batchSize = plan->min_mem_coalesce_width;   
    clFFT_DataFormat dataFormat = plan->format;
    int vertical = (dir == cl_fft_kernel_x) ? 0 : 1;    
    
    getGlobalRadixInfo(n, radixArr, R1Arr, R2Arr, &numRadices);
        
    int numPasses = numRadices;
    
    string localString(""), kernelName("");
    string *kernelString = plan->kernel_string;
    cl_fft_kernel_info **kInfo = &plan->kernel_info; 
    int kCount = 0;
    
    while(*kInfo)
    {
        kInfo = &(*kInfo)->next;
        kCount++;
    }
    
    int N = n;
    int m = (int)log2(n);
    int Rinit = vertical ? BS : 1;
    batchSize = vertical ? min(BS, batchSize) : batchSize;
    int passNum;
    
    for(passNum = 0; passNum < numPasses; passNum++) 
    {
        
        localString.clear();
        kernelName.clear();
        
        radix = radixArr[passNum];
        R1 = R1Arr[passNum];
        R2 = R2Arr[passNum];
                
        int strideI = Rinit;
        for(i = 0; i < numPasses; i++)
            if(i != passNum)
                strideI *= radixArr[i];
        
        int strideO = Rinit;
        for(i = 0; i < passNum; i++)
            strideO *= radixArr[i];
        
        int threadsPerXForm = R2;
        batchSize = R2 == 1 ? plan->max_work_item_per_workgroup : batchSize;
        batchSize = min(batchSize, strideI);
        int threadsPerBlock = batchSize * threadsPerXForm;
        threadsPerBlock = min(threadsPerBlock, maxThreadsPerBlock);
        batchSize = threadsPerBlock / threadsPerXForm;
        assert(R2 <= R1);
        assert(R1*R2 == radix);
        assert(R1 <= maxArrayLen);
        assert(threadsPerBlock <= maxThreadsPerBlock);
        
        int numIter = R1 / R2;
        int gInInc = threadsPerBlock / batchSize;
        
        
        int lgStrideO = (int)log2(strideO);
        int numBlocksPerXForm = strideI / batchSize;
        int numBlocks = numBlocksPerXForm;
        if(!vertical)
            numBlocks *= BS;
        else
            numBlocks *= vertBS;
        
        kernelName = string("fft") + num2str(kCount);
        *kInfo = (cl_fft_kernel_info *) malloc(sizeof(cl_fft_kernel_info));
        (*kInfo)->kernel = 0;
        if(R2 == 1)
            (*kInfo)->lmem_size = 0;
        else
        {
            if(strideO == 1)
                (*kInfo)->lmem_size = (radix + 1)*batchSize;
            else
                (*kInfo)->lmem_size = threadsPerBlock*R1;
        }
        (*kInfo)->num_workgroups = numBlocks;
        (*kInfo)->num_xforms_per_workgroup = 1;
        (*kInfo)->num_workitems_per_workgroup = threadsPerBlock;
        (*kInfo)->dir = dir;
        if( (passNum == (numPasses - 1)) && (numPasses & 1) )
            (*kInfo)->in_place_possible = 1;
        else
            (*kInfo)->in_place_possible = 0;
        (*kInfo)->next = NULL;
        (*kInfo)->kernel_name = (char *) malloc(sizeof(char)*(kernelName.size()+1));
        strcpy((*kInfo)->kernel_name, kernelName.c_str());
        
        insertVariables(localString, R1);
                        
        if(vertical) 
        {
            localString += string("xNum = groupId >> ") + num2str((int)log2(numBlocksPerXForm)) + string(";\n");
            localString += string("groupId = groupId & ") + num2str(numBlocksPerXForm - 1) + string(";\n");
            localString += string("indexIn = mad24(groupId, ") + num2str(batchSize) + string(", xNum << ") + num2str((int)log2(n*BS)) + string(");\n");
            localString += string("tid = mul24(groupId, ") + num2str(batchSize) + string(");\n");
            localString += string("i = tid >> ") + num2str(lgStrideO) + string(";\n");
            localString += string("j = tid & ") + num2str(strideO - 1) + string(";\n");
            int stride = radix*Rinit;
            for(i = 0; i < passNum; i++)
                stride *= radixArr[i];
            localString += string("indexOut = mad24(i, ") + num2str(stride) + string(", j + ") + string("(xNum << ") + num2str((int) log2(n*BS)) + string("));\n");
            localString += string("bNum = groupId;\n");
        }
        else 
        {
            int lgNumBlocksPerXForm = (int)log2(numBlocksPerXForm);
            localString += string("bNum = groupId & ") + num2str(numBlocksPerXForm - 1) + string(";\n");
            localString += string("xNum = groupId >> ") + num2str(lgNumBlocksPerXForm) + string(";\n");
            localString += string("indexIn = mul24(bNum, ") + num2str(batchSize) + string(");\n");
            localString += string("tid = indexIn;\n");
            localString += string("i = tid >> ") + num2str(lgStrideO) + string(";\n");
            localString += string("j = tid & ") + num2str(strideO - 1) + string(";\n"); 
            int stride = radix*Rinit;
            for(i = 0; i < passNum; i++)
                stride *= radixArr[i];
            localString += string("indexOut = mad24(i, ") + num2str(stride) + string(", j);\n");            
            localString += string("indexIn += (xNum << ") + num2str(m) + string(");\n");
            localString += string("indexOut += (xNum << ") + num2str(m) + string(");\n");   
        }
        
        // Load Data
        int lgBatchSize = (int)log2(batchSize);
        localString += string("tid = lId;\n");
        localString += string("i = tid & ") + num2str(batchSize - 1) + string(";\n");
        localString += string("j = tid >> ") + num2str(lgBatchSize) + string(";\n"); 
        localString += string("indexIn += mad24(j, ") + num2str(strideI) + string(", i);\n");
 
        if(dataFormat == clFFT_SplitComplexFormat) 
        {
            localString += string("in_real += indexIn;\n");
            localString += string("in_imag += indexIn;\n");         
            for(j = 0; j < R1; j++)
                localString += string("a[") + num2str(j) + string("].x = in_real[") + num2str(j*gInInc*strideI) + string("];\n");
            for(j = 0; j < R1; j++) 
                localString += string("a[") + num2str(j) + string("].y = in_imag[") + num2str(j*gInInc*strideI) + string("];\n");
        }
        else 
        {
            localString += string("in += indexIn;\n");
            for(j = 0; j < R1; j++)
                localString += string("a[") + num2str(j) + string("] = in[") + num2str(j*gInInc*strideI) + string("];\n");
        }
        
        localString += string("fftKernel") + num2str(R1) + string("(a, dir);\n");                             
        
        if(R2 > 1)
        {
            // twiddle
            for(k = 1; k < R1; k++) 
            {
                localString += string("ang = dir*(2.0f*M_PI*") + num2str(k) + string("/") + num2str(radix) + string(")*j;\n");
                localString += string("w = (float2)(native_cos(ang), native_sin(ang));\n");
                localString += string("a[") + num2str(k) + string("] = complexMul(a[") + num2str(k) + string("], w);\n"); 
            }
        
            // shuffle
            numIter = R1 / R2;  
            localString += string("indexIn = mad24(j, ") + num2str(threadsPerBlock*numIter) + string(", i);\n");
            localString += string("lMemStore = sMem + tid;\n");
            localString += string("lMemLoad = sMem + indexIn;\n");
            for(k = 0; k < R1; k++) 
                localString += string("lMemStore[") + num2str(k*threadsPerBlock) + string("] = a[") + num2str(k) + string("].x;\n");
            localString += string("barrier(CLK_LOCAL_MEM_FENCE);\n");   
            for(k = 0; k < numIter; k++)
                for(t = 0; t < R2; t++)
                    localString += string("a[") + num2str(k*R2+t) + string("].x = lMemLoad[") + num2str(t*batchSize + k*threadsPerBlock) + string("];\n");
            localString += string("barrier(CLK_LOCAL_MEM_FENCE);\n");
            for(k = 0; k < R1; k++) 
                localString += string("lMemStore[") + num2str(k*threadsPerBlock) + string("] = a[") + num2str(k) + string("].y;\n");
            localString += string("barrier(CLK_LOCAL_MEM_FENCE);\n");   
            for(k = 0; k < numIter; k++)
                for(t = 0; t < R2; t++)
                    localString += string("a[") + num2str(k*R2+t) + string("].y = lMemLoad[") + num2str(t*batchSize + k*threadsPerBlock) + string("];\n");
            localString += string("barrier(CLK_LOCAL_MEM_FENCE);\n");
        
            for(j = 0; j < numIter; j++)
                localString += string("fftKernel") + num2str(R2) + string("(a + ") + num2str(j*R2) + string(", dir);\n");
        }
        
        // twiddle
        if(passNum < (numPasses - 1)) 
        {
            localString += string("l = ((bNum << ") + num2str(lgBatchSize) + string(") + i) >> ") + num2str(lgStrideO) + string(";\n");
            localString += string("k = j << ") + num2str((int)log2(R1/R2)) + string(";\n"); 
            localString += string("ang1 = dir*(2.0f*M_PI/") + num2str(N) + string(")*l;\n");
            for(t = 0; t < R1; t++) 
            {
                localString += string("ang = ang1*(k + ") + num2str((t%R2)*R1 + (t/R2)) + string(");\n");
                localString += string("w = (float2)(native_cos(ang), native_sin(ang));\n");
                localString += string("a[") + num2str(t) + string("] = complexMul(a[") + num2str(t) + string("], w);\n");
            }
        }
        
        // Store Data
        if(strideO == 1) 
        {
            
            localString += string("lMemStore = sMem + mad24(i, ") + num2str(radix + 1) + string(", j << ") + num2str((int)log2(R1/R2)) + string(");\n");
            localString += string("lMemLoad = sMem + mad24(tid >> ") + num2str((int)log2(radix)) + string(", ") + num2str(radix+1) + string(", tid & ") + num2str(radix-1) + string(");\n");
            
            for(i = 0; i < R1/R2; i++)
                for(j = 0; j < R2; j++)
                    localString += string("lMemStore[ ") + num2str(i + j*R1) + string("] = a[") + num2str(i*R2+j) + string("].x;\n");
            localString += string("barrier(CLK_LOCAL_MEM_FENCE);\n");
            if(threadsPerBlock >= radix)
            {
                for(i = 0; i < R1; i++)
                localString += string("a[") + num2str(i) + string("].x = lMemLoad[") + num2str(i*(radix+1)*(threadsPerBlock/radix)) + string("];\n");
            }
            else
            {
                int innerIter = radix/threadsPerBlock;
                int outerIter = R1/innerIter;
                for(i = 0; i < outerIter; i++)
                    for(j = 0; j < innerIter; j++)
                        localString += string("a[") + num2str(i*innerIter+j) + string("].x = lMemLoad[") + num2str(j*threadsPerBlock + i*(radix+1)) + string("];\n");
            }
            localString += string("barrier(CLK_LOCAL_MEM_FENCE);\n");
            
            for(i = 0; i < R1/R2; i++)
                for(j = 0; j < R2; j++)
                    localString += string("lMemStore[ ") + num2str(i + j*R1) + string("] = a[") + num2str(i*R2+j) + string("].y;\n");
            localString += string("barrier(CLK_LOCAL_MEM_FENCE);\n");
            if(threadsPerBlock >= radix)
            {
                for(i = 0; i < R1; i++)
                    localString += string("a[") + num2str(i) + string("].y = lMemLoad[") + num2str(i*(radix+1)*(threadsPerBlock/radix)) + string("];\n");
            }
            else
            {
                int innerIter = radix/threadsPerBlock;
                int outerIter = R1/innerIter;
                for(i = 0; i < outerIter; i++)
                    for(j = 0; j < innerIter; j++)
                        localString += string("a[") + num2str(i*innerIter+j) + string("].y = lMemLoad[") + num2str(j*threadsPerBlock + i*(radix+1)) + string("];\n");
            }
            localString += string("barrier(CLK_LOCAL_MEM_FENCE);\n");
            
            localString += string("indexOut += tid;\n");
            if(dataFormat == clFFT_SplitComplexFormat) {
                localString += string("out_real += indexOut;\n");
                localString += string("out_imag += indexOut;\n");
                for(k = 0; k < R1; k++)
                    localString += string("out_real[") + num2str(k*threadsPerBlock) + string("] = a[") + num2str(k) + string("].x;\n");
                for(k = 0; k < R1; k++)
                    localString += string("out_imag[") + num2str(k*threadsPerBlock) + string("] = a[") + num2str(k) + string("].y;\n");
            }
            else {
                localString += string("out += indexOut;\n");
                for(k = 0; k < R1; k++)
                    localString += string("out[") + num2str(k*threadsPerBlock) + string("] = a[") + num2str(k) + string("];\n");                
            }
         
        }
        else 
        {
            localString += string("indexOut += mad24(j, ") + num2str(numIter*strideO) + string(", i);\n");
            if(dataFormat == clFFT_SplitComplexFormat) {
                localString += string("out_real += indexOut;\n");
                localString += string("out_imag += indexOut;\n");           
                for(k = 0; k < R1; k++)
                    localString += string("out_real[") + num2str(((k%R2)*R1 + (k/R2))*strideO) + string("] = a[") + num2str(k) + string("].x;\n");
                for(k = 0; k < R1; k++)
                    localString += string("out_imag[") + num2str(((k%R2)*R1 + (k/R2))*strideO) + string("] = a[") + num2str(k) + string("].y;\n");
            }
            else {
                localString += string("out += indexOut;\n");
                for(k = 0; k < R1; k++)
                    localString += string("out[") + num2str(((k%R2)*R1 + (k/R2))*strideO) + string("] = a[") + num2str(k) + string("];\n");
            }
        }
        
        insertHeader(*kernelString, kernelName, dataFormat);
        *kernelString += string("{\n");
        if((*kInfo)->lmem_size)
            *kernelString += string("    __local float sMem[") + num2str((*kInfo)->lmem_size) + string("];\n");
        *kernelString += localString;
        *kernelString += string("}\n");     
        
        N /= radix;
        kInfo = &(*kInfo)->next;
        kCount++;
    }
}
 
void FFT1D(cl_fft_plan *plan, cl_fft_kernel_dir dir)
{   
    unsigned int radixArray[10];
    unsigned int numRadix;
    
    switch(dir)
    {
        case cl_fft_kernel_x:
            if(plan->n.x > plan->max_localmem_fft_size)
            {
                createGlobalFFTKernelString(plan, plan->n.x, 1, cl_fft_kernel_x, 1);
            }
            else if(plan->n.x > 1)
            {
                getRadixArray(plan->n.x, radixArray, &numRadix, 0);
                if(plan->n.x / radixArray[0] <= plan->max_work_item_per_workgroup)
                {
                    createLocalMemfftKernelString(plan);
                }
                else
                {
                    getRadixArray(plan->n.x, radixArray, &numRadix, plan->max_radix);
                    if(plan->n.x / radixArray[0] <= plan->max_work_item_per_workgroup)
                        createLocalMemfftKernelString(plan);
                    else
                        createGlobalFFTKernelString(plan, plan->n.x, 1, cl_fft_kernel_x, 1);
                }
            }
            break;
            
        case cl_fft_kernel_y:
            if(plan->n.y > 1)
                createGlobalFFTKernelString(plan, plan->n.y, plan->n.x, cl_fft_kernel_y, 1);
            break;
            
        case cl_fft_kernel_z:
            if(plan->n.z > 1)
                createGlobalFFTKernelString(plan, plan->n.z, plan->n.x*plan->n.y, cl_fft_kernel_z, 1);
        default:
            return;
    }
}