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sw: Add sample Monte Carlo application
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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 "lcg.h" | ||
#include "math.h" | ||
#include "pi_estimation.h" | ||
#include "snrt.h" | ||
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#define N_SAMPLES 1024 | ||
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__thread uint32_t seed0, seed1, Ap, Cp; | ||
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double pi_estimate; | ||
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inline void mc_init() { | ||
// Double the sequences as each core produces two random numbers | ||
unsigned int num_sequences = 2 * snrt_cluster_compute_core_num(); | ||
init_2d_lcg_params(num_sequences, 0, LCG_A, LCG_C, &seed0, &seed1, &Ap, | ||
&Cp); | ||
} | ||
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int main() { | ||
// Initialize the PRNGs for parallel Monte Carlo | ||
if (snrt_is_compute_core()) mc_init(); | ||
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// Store partial sum array at first free address in TCDM | ||
uint32_t* reduction_array = (uint32_t*)snrt_l1_next(); | ||
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// Calculate partial sums | ||
uint32_t n_samples_per_core = N_SAMPLES / snrt_cluster_compute_core_num(); | ||
reduction_array[snrt_cluster_core_idx()] = | ||
calculate_partial_sum(seed0, seed1, Ap, Cp, n_samples_per_core); | ||
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// Synchronize cores | ||
snrt_cluster_hw_barrier(); | ||
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// First core in cluster performs the final calculation | ||
if (snrt_cluster_core_idx() == 0) { | ||
// Reduce partial sums | ||
uint32_t sum = 0; | ||
for (int i = 0; i < snrt_cluster_compute_core_num(); i++) { | ||
sum += reduction_array[i]; | ||
} | ||
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// Estimate pi | ||
pi_estimate = estimate_pi(sum, N_SAMPLES); | ||
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// Check result | ||
double err = fabs(pi_estimate - M_PI); | ||
if (err > 0.05) return 1; | ||
} | ||
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return 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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__thread double one = 1.0; | ||
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inline uint32_t calculate_partial_sum(uint32_t seed0, uint32_t seed1, | ||
uint32_t Ap, uint32_t Cp, | ||
unsigned int n_samples) { | ||
uint32_t x1 = seed0; | ||
uint32_t x2 = seed1; | ||
double u1, u2; | ||
unsigned int result = 0; | ||
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for (unsigned int i = 0; i < n_samples; i++) { | ||
u1 = normalize(x1); | ||
u2 = normalize(x2); | ||
x1 = lcg(Ap, Cp, x1); | ||
x2 = lcg(Ap, Cp, x2); | ||
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if ((u1 * u1 + u2 * u2) < one) { | ||
result++; | ||
} | ||
} | ||
return result; | ||
} | ||
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inline double estimate_pi(uint32_t sum, uint32_t n_samples) { | ||
return (double)(4 * sum) / (double)n_samples; | ||
} |
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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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// Numerical Recipes from the "quick and dirty generators" list, Chapter 7.1, | ||
// Eq. 7.1.6 parameters from Knuth and H. W. Lewis | ||
#define MAX_UINT_PLUS1 4294967296.0 | ||
#define LCG_A 1664525 | ||
#define LCG_C 1013904223 | ||
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__thread double max_uint_plus_1_inverse = (double)1.0 / (double)MAX_UINT_PLUS1; | ||
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// Calculate A' and C' constants | ||
inline void leapfrog_constants(unsigned int num_sequences, uint32_t a, | ||
uint32_t c, uint32_t* Ap, uint32_t* Cp) { | ||
// Ap = a^k | ||
// Cp = (a^(k-1) + a^(k-2) + ... + a^1 + a^0)*c | ||
uint32_t Ap_tmp = 1; | ||
uint32_t Cp_tmp = 0; | ||
for (unsigned int p = 0; p < num_sequences; p++) { | ||
Cp_tmp += Ap_tmp; | ||
Ap_tmp *= a; | ||
} | ||
Cp_tmp *= c; | ||
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// Store temporary variables to outputs | ||
*Ap = Ap_tmp; | ||
*Cp = Cp_tmp; | ||
} | ||
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// Calculate seed for leapfrog method's right sequence of index `sequence_idx` | ||
inline uint32_t right_seed(uint32_t left_seed, uint32_t a, uint32_t c, | ||
unsigned int sequence_idx) { | ||
uint32_t seed = left_seed; | ||
for (unsigned int p = 1; p <= sequence_idx; p++) { | ||
seed = seed * a + c; | ||
} | ||
return seed; | ||
} | ||
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// Generate next PRN from LCG recurrence equation | ||
inline uint32_t lcg(uint32_t a, uint32_t c, uint32_t previous) { | ||
return previous * a + c; | ||
} | ||
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// Normalize LCG PRN to [0, 1) range | ||
inline double normalize(uint32_t x) { | ||
return (double)x * max_uint_plus_1_inverse; | ||
} | ||
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inline void init_2d_lcg_params(unsigned int num_sequences, uint32_t seed, | ||
uint32_t a, uint32_t c, uint32_t* seed0, | ||
uint32_t* seed1, uint32_t* Ap, uint32_t* Cp) { | ||
*seed0 = right_seed(seed, a, c, 2 * snrt_global_compute_core_idx()); | ||
*seed1 = right_seed(seed, a, c, 2 * snrt_global_compute_core_idx() + 1); | ||
leapfrog_constants(num_sequences, a, c, Ap, Cp); | ||
} |
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target/snitch_cluster/sw/apps/montecarlo/pi_estimation/Makefile
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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 | ||
# | ||
# Luca Colagrande <[email protected]> | ||
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PI_ESTIMATION_DIR = ../../../../../../sw/apps/montecarlo/pi_estimation | ||
PRNG_DIR = ../../../../../../sw/apps/prng | ||
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APP ?= pi_estimation | ||
SRCS ?= $(PI_ESTIMATION_DIR)/main.c | ||
INCDIRS += $(PI_ESTIMATION_DIR) $(PRNG_DIR) | ||
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include ../../common.mk |
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