chundoong-lab-ta/SamsungDS22/submissions/HW5/jb114.seo/kernel.cl

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Common Lisp
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2022-09-29 18:01:45 +09:00
// A: M rows, K columns
// B: K rows, N columns
// C: M rows, N columns
//
// N
// o-----o
// | |
// K | [B] |
// | |
// o-----o
// K N
// o-------o o-----o
// M | [A] | M | [C] |
// | | | |
// o-------o o-----o
//
#define TS_M 64 // The tile-size in dimension M
#define TS_N 64 // The tile-size in dimension N
#define TS_K 64 // The tile-size in dimension K
#define WPT_M 16 // The amount of work-per-thread in dimension M
#define WPT_N 8 // The amount of work-per-thread in dimension N
#define CEIL_DIV(x,y) ( ((x) + (y) - 1) / (y) )
#define CEIL(x,y) ( CEIL_DIV((x),(y)) * (y) )
// void print_mat(float *m, int R, int C) {
// for (int i = 0; i < R; ++i) {
// for (int j = 0; j < C; ++j) {
// printf("%+.3f ", m[i * C + j]);
// }
// printf("\n");
// }
// }
__kernel void sgemm(__global float *A, __global float *B, __global float *C, int M, int N, int K)
{
// Thread identifiers
const int row = get_local_id(0); // Local row ID (max: TS_M/WPT_M)
const int col = get_local_id(1); // Local col ID (max: TS_N/WPT_N)
const int globalRow = TS_M * get_group_id(0) + row * WPT_M; // Row ID of C (0..M)
const int globalCol = TS_N * get_group_id(1) + col * WPT_N; // Col ID of C (0..N)
//printf("[R%03d, C%03d] GR=%d GC=%d\n", row, col, globalRow, globalCol);
// Local memory to fit a tile of TS*TS elements of A and B
__local float Asub[TS_M][TS_K];
__local float Bsub[TS_K][TS_N];
// Initialize the accumulation registers
float acc[WPT_M][WPT_N];
for (int wm = 0; wm < WPT_M; wm++)
{
for (int wn = 0; wn < WPT_N; wn++)
{
acc[wm][wn] = 0.0f;
}
}
// Loop over all tiles
const int numTiles = CEIL_DIV(K, TS_K);
// if (row ==0 && col == 0)
// {
// printf("Number of tiles: %d\n", numTiles);
// }
for (int t = 0; t < numTiles; t++)
{
const int rowInB = TS_M * t + row * WPT_M;
const int colInA = TS_N * t + col * WPT_N;
// Load one tile of A and B into local memory
for (int wm = 0; wm < WPT_M; wm++)
{
for (int wn = 0; wn < WPT_N; wn++)
{
int r, c;
r = globalRow + wm;
c = colInA + wn;
Asub[row * WPT_M + wm][col * WPT_N + wn] = (r >= M || c >= K) ? 0.0f : A[r * K + c];
r = rowInB + wm;
c = globalCol + wn;
Bsub[row * WPT_M + wm][col * WPT_N + wn] = (r >= K || c >= N) ? 0.0f : B[r * N + c];
}
}
// Synchronize to make sure the tile is loaded
barrier(CLK_LOCAL_MEM_FENCE);
// if (row ==0 && col == 0)
// {
// printf("MATRIX Asub:\n");
// print_mat((float*)Asub, TS_M, TS_K);
// printf("MATRIX Bsub:\n");
// print_mat((float*)Bsub, TS_K, TS_N);
// }
// Loop over the values of a single tile
for (int k = 0; k < TS_K; k++)
{
// Cache the values of Bsub in registers
float bs[WPT_N];
#pragma unroll
for (int wn = 0; wn < WPT_N; wn++) {
bs[wn] = Bsub[k][col * WPT_N + wn];
}
// Perform the computation
#pragma unroll
for (int wm = 0; wm < WPT_M; wm++)
{
float a = Asub[row * WPT_M + wm][k];
#pragma unroll
for (int wn = 0; wn < WPT_N; wn++)
{
acc[wm][wn] += a * bs[wn];
}
}
}
// Synchronize before loading the next tile
barrier(CLK_LOCAL_MEM_FENCE);
}
// if (row ==0 && col == 0)
// {
// printf("MATRIX acc:\n");
// print_mat((float*)acc, WPT_M, WPT_N);
// }
// Store the final results in C
for (int wm = 0; wm < WPT_M; wm++)
{
for (int wn = 0; wn < WPT_N; wn++)
{
int r = globalRow + wm;
int c = globalCol + wn;
if (r < M && c < N)
{
C[r * N + c] = acc[wm][wn];
}
}
}
}
/*
// super super slow sgemm kernel by heehoon
__kernel void sgemm(__global float *A, __global float *B, __global float *C, int M, int N, int K) {
int i = get_global_id(0); // row index of C
int j = get_global_id(1); // column index of C
if (i >= M || j >= N) return; // boundary check
C[i * N + j] = 0;
for (int k = 0; k < K; k++) {
C[i * N + j] += A[i * K + k] * B[k * N + j];
}
}
*/