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# Copyright 2023 ETH Zurich and University of Bologna. | ||
# Licensed under the Apache License, Version 2.0, see LICENSE for details. | ||
# SPDX-License-Identifier: Apache-2.0 | ||
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# Usage of absolute paths is required to externally include this Makefile | ||
MK_DIR := $(dir $(realpath $(lastword $(MAKEFILE_LIST)))) | ||
DATA_DIR := $(realpath $(MK_DIR)/data) | ||
SRC_DIR := $(realpath $(MK_DIR)/src) | ||
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DATA_CFG ?= $(DATA_DIR)/params.json | ||
SECTION ?= | ||
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APP ?= dotp | ||
SRCS ?= $(realpath $(SRC_DIR)/main.c) | ||
INCDIRS ?= $(dir $(DATA_H)) $(SRC_DIR) | ||
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DATAGEN_PY = $(MK_DIR)/scripts/datagen.py | ||
DATA_H ?= $(DATA_DIR)/data.h | ||
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$(dir $(DATA_H)): | ||
mkdir -p $@ | ||
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$(DATA_H): $(DATAGEN_PY) $(DATA_CFG) | $(dir $(DATA_H)) | ||
$< -c $(DATA_CFG) --section="$(SECTION)" > $@ | ||
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.PHONY: clean-data clean | ||
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clean-data: | ||
rm -f $(DATA_H) | ||
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clean: clean-data |
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// Copyright 2023 ETH Zurich and University of Bologna. | ||
// Licensed under the Apache License, Version 2.0, see LICENSE for details. | ||
// SPDX-License-Identifier: Apache-2.0 | ||
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{ | ||
n: 4096 | ||
} |
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#!/usr/bin/env python3 | ||
# Copyright 2023 ETH Zurich and University of Bologna. | ||
# Licensed under the Apache License, Version 2.0, see LICENSE for details. | ||
# SPDX-License-Identifier: Apache-2.0 | ||
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import numpy as np | ||
import os | ||
import sys | ||
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sys.path.append(os.path.join(os.path.dirname(__file__), "../../../../util/sim/")) | ||
from data_utils import format_scalar_definition, format_array_definition, \ | ||
format_array_declaration, format_ifdef_wrapper, DataGen # noqa: E402 | ||
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class AxpyDataGen(DataGen): | ||
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MIN = -1000 | ||
MAX = +1000 | ||
# AXI splits bursts crossing 4KB address boundaries. To minimize | ||
# the occurrence of these splits the data should be aligned to 4KB | ||
BURST_ALIGNMENT = 4096 | ||
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def golden_model(self, x, y): | ||
return np.dot(x, y) | ||
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def emit_header(self, **kwargs): | ||
header = [super().emit_header()] | ||
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n = kwargs['n'] | ||
x = np.random.uniform(self.MIN, self.MAX, n) | ||
y = np.random.uniform(self.MIN, self.MAX, n) | ||
g = self.golden_model(x, y) | ||
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assert (n % 8) == 0, "n must be an integer multiple of the number of cores" | ||
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header += [format_scalar_definition('const uint32_t', 'n', n)] | ||
header += [format_array_definition('double', 'x', x, alignment=self.BURST_ALIGNMENT, | ||
section=kwargs['section'])] | ||
header += [format_array_definition('double', 'y', y, alignment=self.BURST_ALIGNMENT, | ||
section=kwargs['section'])] | ||
header += [format_array_declaration('double', 'z', [n], alignment=self.BURST_ALIGNMENT, | ||
section=kwargs['section'])] | ||
result_def = format_scalar_definition('double', 'g', g) | ||
header += [format_ifdef_wrapper('BIST', result_def)] | ||
header = '\n\n'.join(header) | ||
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return header | ||
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if __name__ == '__main__': | ||
sys.exit(AxpyDataGen().main()) |
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#!/usr/bin/env python3 | ||
# Copyright 2023 ETH Zurich and University of Bologna. | ||
# Licensed under the Apache License, Version 2.0, see LICENSE for details. | ||
# SPDX-License-Identifier: Apache-2.0 | ||
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import sys | ||
from pathlib import Path | ||
from datagen import AxpyDataGen | ||
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sys.path.append(str(Path(__file__).parent / '../../../../util/sim/')) | ||
from verif_utils import Verifier # noqa: E402 | ||
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class AxpyVerifier(Verifier): | ||
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OUTPUT_UIDS = ['z'] | ||
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def get_actual_results(self): | ||
return self.get_output_from_symbol('z', 'double') | ||
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def get_expected_results(self): | ||
a = self.get_input_from_symbol('a', 'double') | ||
x = self.get_input_from_symbol('x', 'double') | ||
y = self.get_input_from_symbol('y', 'double') | ||
return AxpyDataGen().golden_model(a, x, y) | ||
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def check_results(self, *args): | ||
return super().check_results(*args, rtol=1e-10) | ||
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if __name__ == "__main__": | ||
sys.exit(AxpyVerifier().main()) |
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// Copyright 2024 ETH Zurich and University of Bologna. | ||
// Licensed under the Apache License, Version 2.0, see LICENSE for details. | ||
// SPDX-License-Identifier: Apache-2.0 | ||
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#include "snrt.h" | ||
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inline void dotp_seq (uint32_t N, double *input_A, double *input_B, double *output) { | ||
// Start of SSR region. | ||
register volatile double ft0 asm("ft0"); | ||
register volatile double ft1 asm("ft1"); | ||
asm volatile("" | ||
: "=f"(ft0), "=f"(ft1)); | ||
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snrt_ssr_loop_1d(SNRT_SSR_DM0, N, sizeof(double)); | ||
snrt_ssr_loop_1d(SNRT_SSR_DM1, N, sizeof(double)); | ||
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snrt_ssr_read(SNRT_SSR_DM0, SNRT_SSR_1D, input_A); | ||
snrt_ssr_read(SNRT_SSR_DM1, SNRT_SSR_1D, input_B); | ||
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register volatile double res_ssr asm("fs0") = 0; | ||
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snrt_ssr_enable(); | ||
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const register uint32_t Nm1 asm("t0") = N - 1; | ||
asm volatile( | ||
"frep.o %[n_frep], 1, 0, 0 \n" | ||
"fmadd.d %0, ft0, ft1, %0" | ||
: "=f"(res_ssr) /* output operands */ | ||
: "f"(ft0), "f"(ft1), "0"(res_ssr), [n_frep]"r"(Nm1) /* input operands */ | ||
:); | ||
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// End of SSR region. | ||
snrt_fpu_fence(); | ||
snrt_ssr_disable(); | ||
asm volatile("" | ||
: | ||
: "f"(ft0), "f"(ft1)); | ||
output[0] = res_ssr; | ||
} | ||
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inline void dotp_seq_4_acc (uint32_t N, double *input_A, double *input_B, double *output) { | ||
// Start of SSR region. | ||
register volatile double ft0 asm("ft0"); | ||
register volatile double ft1 asm("ft1"); | ||
asm volatile("" | ||
: "=f"(ft0), "=f"(ft1)); | ||
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snrt_ssr_loop_1d(SNRT_SSR_DM0, N, sizeof(double)); | ||
snrt_ssr_loop_1d(SNRT_SSR_DM1, N, sizeof(double)); | ||
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snrt_ssr_read(SNRT_SSR_DM0, SNRT_SSR_1D, input_A); | ||
snrt_ssr_read(SNRT_SSR_DM1, SNRT_SSR_1D, input_B); | ||
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register volatile double res_ssr_0 asm("fs0") = 0; | ||
register volatile double res_ssr_1 asm("fs1") = 0; | ||
register volatile double res_ssr_2 asm("fs2") = 0; | ||
register volatile double res_ssr_3 asm("fs3") = 0; | ||
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snrt_ssr_enable(); | ||
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const register uint32_t Nm1 asm("t0") = (N >> 2) - 1; | ||
asm volatile( | ||
"frep.o %[n_frep], 4, 0, 0 \n" | ||
"fmadd.d %0, ft0, ft1, %0 \n" | ||
"fmadd.d %1, ft0, ft1, %1 \n" | ||
"fmadd.d %2, ft0, ft1, %2 \n" | ||
"fmadd.d %3, ft0, ft1, %3" | ||
: "=f"(res_ssr_0), "=f"(res_ssr_1), "=f"(res_ssr_2), "=f"(res_ssr_3) /* output operands */ | ||
: "f"(ft0), "f"(ft1), "0"(res_ssr_0), "1"(res_ssr_1), "2"(res_ssr_2), "3"(res_ssr_3), [n_frep]"r"(Nm1) /* input operands */ | ||
:); | ||
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// End of SSR region. | ||
snrt_fpu_fence(); | ||
snrt_ssr_disable(); | ||
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asm volatile( | ||
"fadd.d %[res_ssr_0], %[res_ssr_0], %[res_ssr_1] \n" | ||
"fadd.d %[res_ssr_2], %[res_ssr_2], %[res_ssr_3] \n" | ||
"fadd.d %[res_ssr_0], %[res_ssr_0], %[res_ssr_2]" | ||
: [res_ssr_0]"=f"(res_ssr_0), [res_ssr_2]"=f"(res_ssr_2) /* output operands */ | ||
: [res_ssr_1]"f"(res_ssr_1), [res_ssr_3]"f"(res_ssr_3) /* input operands */ | ||
:); | ||
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asm volatile("" | ||
: | ||
: "f"(ft0), "f"(ft1)); | ||
output[0] = res_ssr_0; | ||
} |
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// Copyright 2023 ETH Zurich and University of Bologna. | ||
// Licensed under the Apache License, Version 2.0, see LICENSE for details. | ||
// SPDX-License-Identifier: Apache-2.0 | ||
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#include "snrt.h" | ||
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#include "printf.h" | ||
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#define XSSR | ||
#include "dotp.h" | ||
#include "data.h" | ||
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int main() { | ||
double *local_x, *local_y, *local_z; | ||
double *remote_x, *remote_y, *remote_z; | ||
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volatile double sum; | ||
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uint32_t start_cycle, end_cycle; | ||
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// Calculate size and pointers for each cluster | ||
uint32_t frac = n / snrt_cluster_num(); | ||
uint32_t offset = frac * snrt_cluster_idx(); | ||
remote_x = x + offset; | ||
remote_y = y + offset; | ||
remote_z = z + snrt_cluster_idx(); | ||
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// Allocate space in TCDM | ||
local_x = (double *)snrt_l1_next(); | ||
local_y = local_x + frac; | ||
local_z = local_y + frac; | ||
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// Copy data in TCDM | ||
if (snrt_is_dm_core()) { | ||
size_t size = frac * sizeof(double); | ||
snrt_dma_start_1d(local_x, remote_x, size); | ||
snrt_dma_start_1d(local_y, remote_y, size); | ||
snrt_dma_wait_all(); | ||
} | ||
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// Calculate TCDM size and pointers for each core | ||
int core_idx = snrt_cluster_core_idx(); | ||
int frac_core = n / snrt_cluster_compute_core_num(); | ||
int offset_core = core_idx * frac_core; | ||
local_x += offset_core; | ||
local_y += offset_core; | ||
local_z += core_idx; | ||
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snrt_cluster_hw_barrier(); | ||
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// Compute | ||
if (!snrt_is_dm_core()) { | ||
start_cycle = snrt_mcycle(); | ||
dotp_seq_4_acc(frac_core, local_x, local_y, local_z); | ||
snrt_cluster_hw_barrier(); | ||
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#ifndef _DOTP_EXCLUDE_FINAL_SYNC_ | ||
if (!snrt_cluster_core_idx()) { | ||
sum = 0; | ||
for (uint32_t i = 0; i < snrt_cluster_compute_core_num(); ++i) { | ||
sum += local_z[i]; | ||
} | ||
} | ||
snrt_fpu_fence(); | ||
#endif | ||
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end_cycle = snrt_mcycle(); | ||
} | ||
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snrt_cluster_hw_barrier(); | ||
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if (!snrt_cluster_core_idx()) { | ||
unsigned int runtime = end_cycle - start_cycle; | ||
double performance = (double) (2 * n - 1) / runtime; | ||
double util = 100 * (performance / (2 * snrt_cluster_compute_core_num())); | ||
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printf("Core %d execution time: %u cycles\nPerformance: %f DP-FLOP/Cycle\nUtilization: %f%%\n", | ||
snrt_cluster_core_idx(), runtime, performance, util); | ||
} | ||
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snrt_cluster_hw_barrier(); | ||
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// Copy data out of TCDM | ||
if (snrt_is_dm_core()) { | ||
size_t size = frac_core * sizeof(double); | ||
snrt_dma_start_1d(remote_z, local_z, size); | ||
snrt_dma_wait_all(); | ||
} | ||
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snrt_cluster_hw_barrier(); | ||
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// TODO: currently only works for single cluster otherwise need to | ||
// synchronize all cores here | ||
#ifdef BIST | ||
uint32_t nerr = 1; | ||
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// Check computation is correct | ||
if (snrt_global_core_idx() == 0) { | ||
if (sum == g) nerr--; | ||
printf("%f %f\n", sum, g); | ||
} | ||
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return nerr; | ||
#endif | ||
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return 0; | ||
} |
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# Copyright 2024 ETH Zurich and University of Bologna. | ||
# Licensed under the Apache License, Version 2.0, see LICENSE for details. | ||
# SPDX-License-Identifier: Apache-2.0 | ||
# | ||
# Matteo Perotti <[email protected]> | ||
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include ../../../../../../sw/blas/dotp/Makefile | ||
include ../../common.mk | ||
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$(DEP): $(DATA_H) |