Files
kernels/tests/regression/sgemm_tcore/kernel.activation.cpp
Hansung Kim 36b02ad595 sgemm_tcore: Add warp-specialized kernel with activations
FIXME; only tested with WARP_SPECIALIZED == 0.
2024-06-17 19:14:33 -07:00

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32 KiB
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#include <stdint.h>
#include <vx_intrinsics.h>
#include <vx_print.h>
#include <vx_spawn.h>
#include "common.h"
#include "util.hpp"
#include "include/gemmini.h"
#include "gemmini_mmio.h"
#define GEMMINI_DMA 1
#if SMEM_SIZE == 0x4000
#define SMEM_ADDR_Q0 ((float * const) 0xff000000)
#define SMEM_ADDR_Q1 ((float * const) 0xff001000)
#define SMEM_ADDR_Q2 ((float * const) 0xff002000)
#define SMEM_ADDR_Q3 ((float * const) 0xff003000)
#define SPAD_ADDR_Q0 0x0
#define SPAD_ADDR_Q1 0x80
#define SPAD_ADDR_Q2 0x100
#define SPAD_ADDR_Q3 0x180
#define BOUND_INST 0x400040004ULL
#elif SMEM_SIZE == 0x10000
#define SMEM_ADDR_Q0 ((float * const) 0xff000000)
#define SMEM_ADDR_Q1 ((float * const) 0xff004000)
#define SMEM_ADDR_Q2 ((float * const) 0xff008000)
#define SMEM_ADDR_Q3 ((float * const) 0xff00c000)
#define SPAD_ADDR_Q0 0x0
#define SPAD_ADDR_Q1 0x200
#define SPAD_ADDR_Q2 0x400
#define SPAD_ADDR_Q3 0x600
#define BOUND_INST 0x800080008ULL
#else
#error Unsupported smem size
#endif
#define WARP_SPECIALIZED 0
static_assert(
!WARP_SPECIALIZED || GEMMINI_DMA,
"warp specialization is currently only supported with GEMMINI_DMA");
static_assert((BM * BN / ELEM_PER_THREAD) * (WARP_SPECIALIZED ? 2 : 1) ==
(CORES_PER_CLUSTER * NUM_WARPS * NUM_THREADS),
"threadblock size does not match hw threads in cluster");
inline void global_dmem_load(const uint32_t dim_n, const uint32_t dim_k,
const uint32_t k, const float *A, const float *B,
volatile float *local_a, volatile float *local_b,
const uint32_t tid_in_threadblock,
const uint32_t threadblock_id_x,
const uint32_t threadblock_id_y) {
const uint32_t local_a_row = tid_in_threadblock / BK;
const uint32_t local_a_col = tid_in_threadblock % BK;
const uint32_t local_as_row = tid_in_threadblock / BM;
const uint32_t local_as_col = tid_in_threadblock % BM;
const uint32_t local_b_row = tid_in_threadblock / BN;
const uint32_t local_b_col = tid_in_threadblock % BN;
constexpr uint32_t threads_in_threadblock = (BM * BN) / ELEM_PER_THREAD;
// Data move from GMEM to SMEM
//
// Make sure global offset values for A and B are contiguous between
// neighboring threads to ensure GMEM coalescing.
//
// TODO: Sharedmem swizzling is important here
if constexpr (!TRANSPOSE_AT_PRODUCE) {
// FIXME: !TRANSPOSE_AS code is old
const uint32_t global_a_row = BM * threadblock_id_y + local_a_row;
// number of rows a full TB can read at a time
constexpr uint32_t row_stride_a = threads_in_threadblock / BK;
const float *global_a = A + dim_k * global_a_row + (k + local_a_col);
volatile float *local_a_tmp = local_a + BK * local_a_row + local_a_col;
#pragma GCC unroll 1
for (uint32_t local_row_offset = 0; local_row_offset < BM;
local_row_offset += row_stride_a) {
// const uint32_t global_a_offset =
// dim_k * (global_a_row + local_row_offset) + (k + local_a_col);
// local_a[BK * (local_a_row + local_row_offset) + local_a_col] =
// A[global_a_offset];
*local_a_tmp = *global_a;
global_a += dim_k * row_stride_a;
local_a_tmp += BK * row_stride_a;
}
} else {
if constexpr (!GMEM_COALESCED_A) {
constexpr uint32_t row_stride_as = threads_in_threadblock / BM;
const uint32_t global_a_row = BM * threadblock_id_y + local_as_col;
const float *global_a = A + dim_k * global_a_row + (k + local_as_row);
// FIXME experimenting with global coalescing
// const uint32_t global_a_row = BM * threadblock_id_y + local_as_row;
// const float *global_a = A + dim_k * global_a_row + (k + local_as_col);
volatile float *local_a_tmp = local_a + BM * local_as_row + local_as_col;
static_assert(
row_stride_as * 8 <= BK,
"manual loop unrolling condition not met; consider increasing BK");
static_assert(
(BK % (row_stride_as * 8)) == 0,
"manual loop unrolling condition not met; BK should be power-of-two");
#pragma GCC unroll 1
for (uint32_t local_row_offset = 0; local_row_offset < BK;
local_row_offset += row_stride_as * 8) {
// @perf: bank conflicts here
// const uint32_t global_a_offset =
// dim_k * (global_a_row) + (k + local_as_row + local_row_offset);
// FIXME experimenting with global coalescing
// const uint32_t global_a_offset =
// dim_k * (global_a_row + local_row_offset) + (k + local_as_col);
// local_a[BM * (local_as_row + local_row_offset) + local_as_col] =
// A[global_a_offset];
// *local_a_tmp = *global_a;
asm volatile ("flw ft0, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft1, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft2, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft3, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft4, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft5, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft6, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft7, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("fsw ft0, %0(%1)" :: "i"(BM * row_stride_as * 0 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft1, %0(%1)" :: "i"(BM * row_stride_as * 1 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft2, %0(%1)" :: "i"(BM * row_stride_as * 2 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft3, %0(%1)" :: "i"(BM * row_stride_as * 3 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft4, %0(%1)" :: "i"(BM * row_stride_as * 4 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft5, %0(%1)" :: "i"(BM * row_stride_as * 5 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft6, %0(%1)" :: "i"(BM * row_stride_as * 6 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft7, %0(%1)" :: "i"(BM * row_stride_as * 7 * sizeof(float)), "r"(local_a_tmp));
local_a_tmp += BM * row_stride_as * 8;
}
} else {
constexpr uint32_t row_stride_a = threads_in_threadblock / BK;
const uint32_t global_a_row = BM * threadblock_id_y + local_a_row;
const float *global_a = A + dim_k * global_a_row + (k + local_a_col);
// NOTE that SMEM writes are transposed
volatile float *local_a_tmp = local_a + BM * local_a_col + local_a_row;
static_assert(
row_stride_a * 8 <= BM,
"manual loop unrolling condition not met; consider increasing BM");
static_assert(
(BM % (row_stride_a * 8)) == 0,
"manual loop unrolling condition not met; BM should be power-of-two");
#pragma GCC unroll 1
for (uint32_t local_row_offset = 0; local_row_offset < BM;
local_row_offset += row_stride_a * 8) {
// const uint32_t global_a_offset =
// dim_k * (global_a_row + local_row_offset) + (k + local_a_col);
// NOTE that SMEM writes are transposed
// local_a[BM * (local_a_col) + local_a_row + local_row_offset] =
// A[global_a_offset];
asm volatile ("flw ft0, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft1, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft2, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft3, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft4, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft5, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft6, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft7, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
// stride along columns
asm volatile ("fsw ft0, %0(%1)" :: "i"(row_stride_a * 0 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft1, %0(%1)" :: "i"(row_stride_a * 1 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft2, %0(%1)" :: "i"(row_stride_a * 2 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft3, %0(%1)" :: "i"(row_stride_a * 3 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft4, %0(%1)" :: "i"(row_stride_a * 4 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft5, %0(%1)" :: "i"(row_stride_a * 5 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft6, %0(%1)" :: "i"(row_stride_a * 6 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft7, %0(%1)" :: "i"(row_stride_a * 7 * sizeof(float)), "r"(local_a_tmp));
local_a_tmp += row_stride_a * 8;
}
}
}
constexpr uint32_t row_stride_b = threads_in_threadblock / BN;
const uint32_t global_b_col = BN * threadblock_id_x + local_b_col;
const float *global_b = B + dim_n * (k + local_b_row) + global_b_col;
volatile float *local_b_tmp = local_b + BN * local_b_row + local_b_col;
static_assert(
row_stride_b * 8 <= BK,
"manual loop unrolling condition not met; consider increasing BK");
static_assert(
(BK % (row_stride_b * 8)) == 0,
"manual loop unrolling condition not met; BK should be power-of-two");
#pragma GCC unroll 1
for (uint32_t load_offset = 0; load_offset < BK;
load_offset += row_stride_b * 8) {
// const uint32_t global_b_offset =
// dim_n * (k + local_b_row + load_offset) + global_b_col;
// local_b[BN * (local_b_row + load_offset) + local_b_col] =
// B[global_b_offset];
// *local_b_tmp = *global_b;
// global_b += dim_n * row_stride_b;
// local_b_tmp += BN * row_stride_b;
asm volatile ("flw ft0, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft1, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft2, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft3, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft4, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft5, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft6, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft7, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("fsw ft0, %0(%1)" :: "i"(BN * row_stride_b * 0 * sizeof(float)), "r"(local_b_tmp));
asm volatile ("fsw ft1, %0(%1)" :: "i"(BN * row_stride_b * 1 * sizeof(float)), "r"(local_b_tmp));
local_b_tmp += BN * row_stride_b * 2;
asm volatile ("fsw ft2, %0(%1)" :: "i"(BN * row_stride_b * 0 * sizeof(float)), "r"(local_b_tmp));
asm volatile ("fsw ft3, %0(%1)" :: "i"(BN * row_stride_b * 1 * sizeof(float)), "r"(local_b_tmp));
local_b_tmp += BN * row_stride_b * 2;
asm volatile ("fsw ft4, %0(%1)" :: "i"(BN * row_stride_b * 0 * sizeof(float)), "r"(local_b_tmp));
asm volatile ("fsw ft5, %0(%1)" :: "i"(BN * row_stride_b * 1 * sizeof(float)), "r"(local_b_tmp));
local_b_tmp += BN * row_stride_b * 2;
asm volatile ("fsw ft6, %0(%1)" :: "i"(BN * row_stride_b * 0 * sizeof(float)), "r"(local_b_tmp));
asm volatile ("fsw ft7, %0(%1)" :: "i"(BN * row_stride_b * 1 * sizeof(float)), "r"(local_b_tmp));
local_b_tmp += BN * row_stride_b * 2;
}
}
inline void thread_block_gemm(kernel_arg_t *__UNIFORM__ arg,
const uint32_t tid_in_threadblock,
const uint32_t threads_per_threadblock,
const uint32_t threadblock_dim_y,
/*const uint32_t threadblock_id_x,
const uint32_t threadblock_id_y,*/
const uint32_t threadblocks_per_cluster,
const uint32_t threadblock_id_in_cluster,
float *sharedmem_per_threadblock) {
const float *A = (const float *)arg->addr_a;
const float *B = (const float *)arg->addr_b;
float *C = (float *)arg->addr_c;
const uint32_t dim_m = arg->dim_m;
const uint32_t dim_n = arg->dim_n;
const uint32_t dim_k = arg->dim_k;
const uint32_t local_a_row = tid_in_threadblock / BK;
const uint32_t local_a_col = tid_in_threadblock % BK;
const uint32_t local_as_row = tid_in_threadblock / BM;
const uint32_t local_as_col = tid_in_threadblock % BM;
const uint32_t local_b_row = tid_in_threadblock / BN;
const uint32_t local_b_col = tid_in_threadblock % BN;
const uint32_t threads_per_warpgroup =
threads_per_threadblock / (WARP_SPECIALIZED ? 2 : 1);
const uint32_t warpgroup_id = tid_in_threadblock / threads_per_warpgroup; // NOCHECKIN
const uint32_t tid_in_warpgroup = tid_in_threadblock % threads_per_warpgroup;
const uint32_t warp_id_in_warpgroup = tid_in_warpgroup / NUM_THREADS;
const uint32_t warp_row = warp_id_in_warpgroup / (BN / WN);
const uint32_t warp_col = warp_id_in_warpgroup % (BN / WN);
const uint32_t tid_in_warp = tid_in_threadblock % NUM_THREADS;
volatile float *local_a = sharedmem_per_threadblock;
constexpr size_t local_a_elems = (BM * BK);
volatile float *local_a_buf = local_a + local_a_elems;
volatile float *local_b = local_a_buf + local_a_elems;
constexpr size_t local_b_elems = (BK * BN);
volatile float *local_b_buf = local_a_buf + local_b_elems;
constexpr uint32_t skips =
loop_matmul_skips(/*skip_lda=*/0, /*skip_ldb=*/0, /*skip_ldd=*/1,
/*skip_ex=*/1, /*skip_stc=*/1);
#if (GEMMINI_DMA == 1)
// regardless of WARP_SPECIALIZED, this has to be done by one thread
if (tid_in_threadblock == 0) {
gemmini_extended_config_ex(WEIGHT_STATIONARY, 0, 0, 1, 0, 0);
// gemmini_extended_config_ex(dataflow, act & 3, 0, 1, a_transpose,
// b_transpose);
gemmini_extended3_config_ld(dim_k * sizeof(elem_t), MVIN_SCALE_IDENTITY,
false, 0);
gemmini_extended3_config_ld(dim_n * sizeof(elem_t), MVIN_SCALE_IDENTITY,
false, 1);
gemmini_extended_config_st(dim_n * sizeof(elem_t), 0, MVIN_SCALE_IDENTITY);
gemmini_fence();
}
#endif
// divide rows (M) by the number of threadblocks
const uint32_t dim_m_range = (dim_m / threadblocks_per_cluster);
const uint32_t dim_m_start = dim_m_range * threadblock_id_in_cluster;
const uint32_t block_m_start = dim_m_start / BM;
const uint32_t block_m_end = (dim_m_start + dim_m_range) / BM;
#pragma GCC unroll 1
for (uint32_t block_m = block_m_start; block_m < block_m_end; block_m++) {
#pragma GCC unroll 1
for (uint32_t block_n = 0; (block_n * BN) < dim_n; block_n++) {
// clear out C
initialize_C(0);
initialize_C(1);
if constexpr (GEMMINI_DMA) {
if (!WARP_SPECIALIZED || warpgroup_id == 0) {
// pipeline initiation
if (tid_in_threadblock == 0) {
// configure dma gmem address to load from
// FIXME: block_k is wrong
ROCC_INSTRUCTION_RS1_RS2(
XCUSTOM_ACC,
(uint64_t)(A + block_m * BM * dim_k + /*block_k:*/0 * BK),
(uint64_t)(B + /*block_k:*/0 * BK * dim_n + block_n * BN),
k_LOOP_WS_CONFIG_ADDRS_AB)
// GEMMINI_CISC(8) does k_LOOP_WS_CONFIG_STRIDES_AB
GEMMINI_CISC_CMD_R((dim_n << 16) | (dim_k << 8) | 8);
gemmini_fence();
GEMMINI_CISC_CMD_I(10);
gemmini_fence();
#if 0
// sp_tiled_matmul_full_spad_ws includes CONFIG_BOUNDS
// FIXME: block_k is 0 for two times
sp_tiled_matmul_full_spad_ws(
#if 1
SPAD_ADDR_Q0, SPAD_ADDR_Q1,
#else
(/*block_k:*/ 0 & 1) ? SPAD_ADDR_Q2 : SPAD_ADDR_Q0,
(/*block_k:*/ 0 & 1) ? SPAD_ADDR_Q3 : SPAD_ADDR_Q1,
#endif
/*spad_D=*/0, /*spad_C=*/SPAD_ADDR_Q3,
/*I=*/BM / DIM, /*J=*/BN / DIM, /*K=*/BK / DIM, /*pad_I=*/0,
/*pad_J=*/0, /*pad_K=*/0,
/*a_transpose=*/0, /*b_transpose=*/0, /*full_C=*/0, /*low_D=*/0,
/*acc=*/0, /*act=*/NO_ACTIVATION, /*skips=*/skips)
gemmini_fence();
#endif
}
// threadblock_barrier(threadblock_id_in_cluster, threadblock_dim_y);
threadblock_barrier(1 /*gemm worpgroup*/,
threadblock_dim_y / (WARP_SPECIALIZED ? 2 : 1));
}
}
#pragma GCC unroll 1
for (uint32_t block_k = 0; (block_k * BK) < (dim_k); block_k++) {
// producer code: GMEM->SMEM memory movement
// ---------------------------------------------------------------------
//
// this is either done using DMA or SIMT cores depending on GEMMINI_DMA
#if (GEMMINI_DMA == 1)
if (!WARP_SPECIALIZED || warpgroup_id == 0) {
if (tid_in_threadblock == 0) {
// configure dma gmem address to load from
// FIXME: block_k is wrong
ROCC_INSTRUCTION_RS1_RS2(
XCUSTOM_ACC,
(uint64_t)(A + block_m * BM * dim_k + (block_k + 1/*runahead*/) * BK),
(uint64_t)(B + (block_k + 1/*runahead*/) * BK * dim_n + block_n * BN),
k_LOOP_WS_CONFIG_ADDRS_AB)
// GEMMINI_CISC(8) does k_LOOP_WS_CONFIG_STRIDES_AB
GEMMINI_CISC_CMD_R((dim_n << 16) | (dim_k << 8) | 8);
// gemmini_fence();
// block_k is even: opcode 11 (write to local_a_buf)
// block_k is odd: opcode 10 (write to local_a)
const uint32_t opcode = 11 - (block_k & 1);
GEMMINI_CISC_CMD_R(opcode);
// // TODO: branch is probably slow
// if (block_k & 1) {
// GEMMINI_CISC_CMD_I(12);
// } else { // block_k == 0 is here
// GEMMINI_CISC_CMD_I(13);
// }
// configure loop iteration bounds
// FIXME: shouldn't be necessary
// ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC, 0, BOUND_INST,
// k_LOOP_WS_CONFIG_BOUNDS) ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC,
// SPAD_ADDR_Q0, SPAD_ADDR_Q1, k_LOOP_WS_CONFIG_SPAD_AB)
// ROCC_INSTRUCTION_RS1_RS2(
// XCUSTOM_ACC,
// ((uint64_t)(/*a_spad_id:*/ 0) << 18) |
// ((uint64_t)(/*b_spad_id:*/ 0) << 16) |
// ((uint64_t)(/*act:0*/ 0) << 8) | ((/*low_D:*/ 0) << 2) |
// ((/*full_C:*/ 0) << 1) | (/*ex_accumulate:*/ 0),
// ((uint64_t)(/*C_spad_addr:*/ A) << 32) | 0x200U | (skips) |
// ((/*is_resadd*/ 0) << 2) | ((/*B_transpose:*/ 0) << 1) |
// (/*A_transpose:*/ 1),
// k_LOOP_WS)
// gemmini_fence();
#if 0
uint32_t spad_a_produce;
uint32_t spad_b_produce;
const uint32_t mask_odd = (block_k & 1) << 31 >> 31;
const uint32_t mask_even = ((block_k & 1) ^ 1) << 31 >> 31;
spad_a_produce =
((mask_odd & (SPAD_ADDR_Q0)) | (mask_even & (SPAD_ADDR_Q2)));
spad_b_produce =
((mask_odd & (SPAD_ADDR_Q1)) | (mask_even & (SPAD_ADDR_Q3)));
// sp_tiled_matmul_full_spad_ws includes CONFIG_BOUNDS
// FIXME: block_k is 0 for two times
sp_tiled_matmul_full_spad_ws(
spad_a_produce,
spad_b_produce,
/*spad_D=*/0, /*spad_C=*/SPAD_ADDR_Q1,
/*I=*/BM / DIM, /*J=*/BN / DIM, /*K=*/BK / DIM, /*pad_I=*/0,
/*pad_J=*/0, /*pad_K=*/0,
/*a_transpose=*/0, /*b_transpose=*/0, /*full_C=*/0, /*low_D=*/0,
/*acc=*/0, /*act=*/NO_ACTIVATION, /*skips=*/skips)
#endif
}
}
#else
global_dmem_load(dim_n, dim_k, block_k * BK, A, B, local_a, local_b,
tid_in_threadblock, block_n, block_m);
threadblock_barrier(threadblock_id_in_cluster, threadblock_dim_y);
#endif
if (!WARP_SPECIALIZED || warpgroup_id == 0) {
// consumer code: SMEM->RF and compute
// ----------------------------------------------------------------------
// @perf: this loop spills to stack a lot because of all the flws in
const volatile float *local_a_consume;
const volatile float *local_b_consume;
if constexpr (GEMMINI_DMA) {
// local_a_consume = (k_index % 2) ? local_a_buf : local_a;
// local_b_consume = (k_index % 2) ? local_b_buf : local_b;
// FIXME: swap multiply with bitshifts
// const uint32_t mask_odd = (block_k & 1) << 31 >> 31;
// const uint32_t mask_even = ((block_k & 1) ^ 1) << 31 >> 31;
// local_a_consume = reinterpret_cast<volatile float *>(
// (mask_odd & reinterpret_cast<uintmax_t>(local_a_buf)) |
// (mask_even & reinterpret_cast<uintmax_t>(local_a)));
// local_b_consume = reinterpret_cast<volatile float *>(
// (mask_odd & reinterpret_cast<uintmax_t>(local_b_buf)) |
// (mask_even & reinterpret_cast<uintmax_t>(local_b)));
local_a_consume = local_a + (block_k & 1) * (local_a_elems);
local_b_consume = local_b + (block_k & 1) * (local_b_elems);
} else {
local_a_consume = local_a;
local_b_consume = local_b;
}
#pragma GCC unroll 1
for (int i = 0; i < BK_LOOP; i++) {
#pragma GCC unroll 4
for (uint32_t local_k = 0; local_k < BK; local_k += TCK) {
#pragma GCC unroll 2
for (int wn_iter = 0; wn_iter < WNITER; wn_iter++) {
// SMEM -> RF
vx_wmma_load_b(local_b_consume, local_k, warp_col, wn_iter, tid_in_warp);
#pragma GCC unroll 2
for (int wm_iter = 0; wm_iter < WMITER; wm_iter++) {
// SMEM -> RF
vx_wmma_load_a(local_a_consume, local_k, warp_row, wm_iter,
tid_in_warp);
// perform mma
vx_wmma(wm_iter);
}
}
}
}
if constexpr (GEMMINI_DMA) {
// Call gemmini fence at the end of the loop to overlap dma & wmma.
// Hopefully by this time, dma would have finished so that this is a
// no-op
if (tid_in_threadblock == 0) {
gemmini_fence();
}
}
// threadblock_barrier(threadblock_id_in_cluster, threadblock_dim_y);
threadblock_barrier(1 /*gemm warpgroup*/,
threadblock_dim_y / (WARP_SPECIALIZED ? 2 : 1));
}
}
// warp specialization: activation on the previous (M,N) tile in the 2nd
// warpgroup
if (WARP_SPECIALIZED && warpgroup_id == 1) {
// activation code currently assumes that the column-width of a warp
// tile exactly matches SIMD width
static_assert(WN == NUM_THREADS);
float elem[ELEM_PER_THREAD];
const uint32_t col_in_warptile = tid_in_warpgroup % WN;
// const uint32_t row_in_warptile = elem_i; // FIXME: doesn't work with WN != NUM_THREADS
const uint32_t row_in_warptile = 0;
const uint32_t C_row = (block_m * BM) + (warp_row * WM) + row_in_warptile;
const uint32_t C_col = (block_n * BN) + (warp_col * WN) + col_in_warptile;
const float *const global_C = C + dim_n * C_row + C_col;
// read in elements from GMEM to RF
asm volatile("mv t6, %0" :: "r"(global_C));
asm volatile("flw f0, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f1, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f2, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f3, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f4, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f5, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f6, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f7, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f8, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f9, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f10, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f11, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f12, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f13, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f14, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("flw f15, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fcvt.s.w f16, %0, rtz" :: "r"(2));
// do elem-wise compute in RF
#pragma GCC unroll 4
for (uint32_t count = 0; count < 32; count++) {
asm volatile("fmul.s f0, f0, f16");
asm volatile("fmul.s f1, f1, f16");
asm volatile("fmul.s f2, f2, f16");
asm volatile("fmul.s f3, f3, f16");
asm volatile("fmul.s f4, f4, f16");
asm volatile("fmul.s f5, f5, f16");
asm volatile("fmul.s f6, f6, f16");
asm volatile("fmul.s f7, f7, f16");
asm volatile("fmul.s f8, f8, f16");
asm volatile("fmul.s f9, f9, f16");
asm volatile("fmul.s f10, f10, f16");
asm volatile("fmul.s f11, f11, f16");
asm volatile("fmul.s f12, f12, f16");
asm volatile("fmul.s f13, f13, f16");
asm volatile("fmul.s f14, f14, f16");
asm volatile("fmul.s f15, f15, f16");
}
// move back from RF to gmem
asm volatile("mv t6, %0" :: "r"(global_C));
asm volatile("fsw f0, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f1, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f2, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f3, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f4, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f5, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f6, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f7, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f8, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f9, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f10, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f11, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f12, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f13, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f14, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
asm volatile("fsw f15, (t6)");
asm volatile("add t6, t6, %0" :: "r"(dim_n * sizeof(float)));
}
threadblock_barrier(0/*global threadblock in cluster*/, threadblock_dim_y);
#pragma GCC unroll 2
for (int wm_iter = 0; wm_iter < WMITER; wm_iter++) {
#pragma GCC unroll 2
for (int wn_iter = 0; wn_iter < WNITER; wn_iter++) {
write_results(tid_in_warp, warp_col, warp_row, wn_iter, wm_iter,
dim_n, C, block_n, block_m);
}
}
}
}
}
void kernel_body(int task_id, kernel_arg_t *__UNIFORM__ arg) {
// @perf: All threads are running these compute whose result is mostly same
// across the threadblock
#ifdef RADIANCE
constexpr uint32_t cores_per_cluster = CORES_PER_CLUSTER;
#else
constexpr uint32_t cores_per_cluster = 1;
#endif
uint32_t threads_per_threadblock =
(BM * BN) / (ELEM_PER_THREAD) * (WARP_SPECIALIZED ? 2 : 1);
const uint32_t hw_threads_per_cluster =
cores_per_cluster * vx_num_threads() * vx_num_warps();
// cap maximum threadblock size to # of HW threads in cluster, to prevent
// multiple "wave" invocations which slows down the kernel
if (threads_per_threadblock > hw_threads_per_cluster) {
threads_per_threadblock = hw_threads_per_cluster;
}
const uint32_t threadblocks_per_cluster =
hw_threads_per_cluster / threads_per_threadblock;
const uint32_t threadblock_dim_y = vx_num_warps() / threadblocks_per_cluster;
const int threadblock_id = task_id / threads_per_threadblock;
const int threadblock_id_in_cluster =
threadblock_id % threadblocks_per_cluster;
const int tid_in_threadblock = task_id % threads_per_threadblock;
const uint32_t dim_m = arg->dim_m;
const uint32_t dim_n = arg->dim_n;
const uint32_t dim_n_in_blocks = dim_n / BN;
const int threadblock_id_x = threadblock_id % dim_n_in_blocks;
const int threadblock_id_y = threadblock_id / dim_n_in_blocks;
// "static" shared memory allocation. This would determine threadblock
// occupancy of a single cluster
float *sharedmem_per_threadblock =
(float *)DEV_SMEM_START_ADDR + 2/*overkill for non-dma*/ * (2 * BM * BK) *
threadblock_id_in_cluster;
thread_block_gemm(arg, tid_in_threadblock, threads_per_threadblock,
threadblock_dim_y,
/*threadblock_id_x, threadblock_id_y,*/
threadblocks_per_cluster,
// threadblock_id,
threadblock_id_in_cluster,
sharedmem_per_threadblock);
}
int main() {
kernel_arg_t *arg = (kernel_arg_t *)KERNEL_ARG_DEV_MEM_ADDR;
const uint32_t problem_size = (arg->dim_m * arg->dim_n) / (ELEM_PER_THREAD) *
(WARP_SPECIALIZED ? 2 : 1);
const uint32_t hw_threads_per_cluster =
CORES_PER_CLUSTER * vx_num_threads() * vx_num_warps();
// prevent launching more threads than the necessary problem size
// TODO: this does not take into account multiple clusters
const uint32_t grid_size = (problem_size > hw_threads_per_cluster)
? hw_threads_per_cluster
: problem_size;
#ifdef RADIANCE
vx_spawn_tasks_cluster(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
#else
// NOTE: This kernel assumes contiguous thread scheduling for efficient shared
// memory allocation, and therefore does not work with original vx_spawn_tasks
vx_spawn_tasks_contiguous(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
#endif
return 0;
}