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utils.hpp
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utils.hpp
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// ***********************************************************************
//
// TRIC
//
// ***********************************************************************
//
// Copyright (2019) Battelle Memorial Institute
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the copyright holder nor the names of its
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
// FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
// COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
// CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
// LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
// ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
// POSSIBILITY OF SUCH DAMAGE.
//
// ************************************************************************
#pragma once
#ifndef UTILS_HPP
#define UTILS_HPP
#define PI (3.14159)
#define MAX_PRINT_NEDGE (100000)
// Read https://en.wikipedia.org/wiki/Linear_congruential_generator#Period_length
// about choice of LCG parameters
// From numerical recipes
// TODO FIXME investigate larger periods
#define MLCG (2147483647) // 2^31 - 1
#define ALCG (16807) // 7^5
#define BLCG (0)
#define SR_UP_TAG 100
#define SR_DOWN_TAG 101
#define SR_SIZES_UP_TAG 102
#define SR_SIZES_DOWN_TAG 103
#define SR_X_UP_TAG 104
#define SR_X_DOWN_TAG 105
#define SR_Y_UP_TAG 106
#define SR_Y_DOWN_TAG 107
#define SR_LCG_TAG 108
#define MAX(x,y) ((x > y) ? (x) : (y))
#define MIN(x,y) ((x < y) ? (x) : (y))
#define ONE (1)
#define TWO (2)
#define FIVE (5)
#define PERCOF(x,y) std::ceil((y) * ((x) / 100))
#define ONEPERCOF(y) PERCOF(ONE, y)
#define TWOPERCOF(y) PERCOF(TWO, y)
#define FIVEPERCOF(y) PERCOF(FIVE, y)
#include <random>
#include <utility>
#include <cstring>
#include <cinttypes>
#ifdef USE_32_BIT_GRAPH
using GraphElem = int32_t;
using GraphWeight = float;
const MPI_Datatype MPI_GRAPH_TYPE = MPI_INT32_T;
const MPI_Datatype MPI_WEIGHT_TYPE = MPI_FLOAT;
#else
using GraphElem = int64_t;
using GraphWeight = double;
const MPI_Datatype MPI_GRAPH_TYPE = MPI_INT64_T;
const MPI_Datatype MPI_WEIGHT_TYPE = MPI_DOUBLE;
#endif
extern unsigned seed;
#if defined(AGGR_BUFR)|| defined(AGGR_BUFR_INRECV) || defined(AGGR_BUFR_IRECV) || defined(AGGR_BUFR_RMA) || defined(AGGR_HEUR) || defined(AGGR_MAP) || defined(AGGR_HASH) || defined(AGGR_HASH2) || defined(AGGR_PUSH)
#ifndef DEFAULT_BUF_SIZE
#define DEFAULT_BUF_SIZE (8000)
#endif
#endif
// Is nprocs a power-of-2?
int is_pwr2(int nprocs)
{ return ((nprocs != 0) && !(nprocs & (nprocs - 1))); }
// round to multiple of mult
GraphElem roundUp(GraphElem num, GraphElem mult)
{
if (mult == 0)
return num;
GraphElem rem = num % mult;
if (rem == 0)
return num;
return num + mult - rem;
}
// return unint32_t seed
GraphElem reseeder(unsigned initseed)
{
std::seed_seq seq({initseed});
std::vector<std::uint32_t> seeds(1);
seq.generate(seeds.begin(), seeds.end());
return (GraphElem)seeds[0];
}
// Local random number generator
template<typename T, typename G = std::default_random_engine>
T genRandom(T lo, T hi)
{
thread_local static G gen(std::random_device{}());
using Dist = typename std::conditional
<
std::is_integral<T>::value
, std::uniform_int_distribution<T>
, std::uniform_real_distribution<T>
>::type;
thread_local static Dist utd {};
return utd(gen, typename Dist::param_type{lo, hi});
}
// Parallel Linear Congruential Generator
// x[i] = (a*x[i-1] + b)%M
class LCG
{
public:
LCG(unsigned seed, GraphWeight* drand,
GraphElem n, MPI_Comm comm = MPI_COMM_WORLD):
seed_(seed), drand_(drand), n_(n)
{
comm_ = comm;
MPI_Comm_size(comm_, &nprocs_);
MPI_Comm_rank(comm_, &rank_);
// allocate long random numbers
rnums_.resize(n_);
// init x0
if (rank_ == 0)
x0_ = reseeder(seed_);
// step #1: bcast x0 from root
MPI_Bcast(&x0_, 1, MPI_GRAPH_TYPE, 0, comm_);
// step #2: parallel prefix to generate first random value per process
parallel_prefix_op();
}
~LCG() { rnums_.clear(); }
// matrix-matrix multiplication for 2x2 matrices
void matmat_2x2(GraphElem c[], GraphElem a[], GraphElem b[])
{
for (int i = 0; i < 2; i++) {
for (int j = 0; j < 2; j++) {
GraphElem sum = 0;
for (int k = 0; k < 2; k++) {
sum += a[i*2+k]*b[k*2+j];
}
c[i*2+j] = sum;
}
}
}
// x *= y
void matop_2x2(GraphElem x[], GraphElem y[])
{
GraphElem tmp[4];
matmat_2x2(tmp, x, y);
memcpy(x, tmp, sizeof(GraphElem[4]));
}
// find kth power of a 2x2 matrix
void mat_power(GraphElem mat[], GraphElem k)
{
GraphElem tmp[4];
memcpy(tmp, mat, sizeof(GraphElem[4]));
// mat-mat multiply k times
for (GraphElem p = 0; p < k-1; p++)
matop_2x2(mat, tmp);
}
// parallel prefix for matrix-matrix operation
// `x0 is the very first random number in the series
// `ab is a 2-length array which stores a and b
// `n_ is (n/p)
// `rnums is n_ length array which stores the random nums for a process
void parallel_prefix_op()
{
GraphElem global_op[4];
global_op[0] = ALCG;
global_op[1] = 0;
global_op[2] = BLCG;
global_op[3] = 1;
mat_power(global_op, n_); // M^(n/p)
GraphElem prefix_op[4] = {1,0,0,1}; // I in row-major
GraphElem global_op_recv[4];
int steps = (int)(log2((double)nprocs_));
for (int s = 0; s < steps; s++) {
int mate = rank_^(1 << s); // toggle the sth LSB to find my neighbor
// send/recv global to/from mate
MPI_Sendrecv(global_op, 4, MPI_GRAPH_TYPE, mate, SR_LCG_TAG,
global_op_recv, 4, MPI_GRAPH_TYPE, mate, SR_LCG_TAG,
comm_, MPI_STATUS_IGNORE);
matop_2x2(global_op, global_op_recv);
if (mate < rank_)
matop_2x2(prefix_op, global_op_recv);
MPI_Barrier(comm_);
}
// populate the first random number entry for each process
// (x0*a + b)%P
if (rank_ == 0)
rnums_[0] = x0_;
else
rnums_[0] = (x0_*prefix_op[0] + prefix_op[2])%MLCG;
}
// generate random number based on the first
// random number on a process
// TODO check the 'quick'n dirty generators to
// see if we can avoid the mod
void generate()
{
#if defined(PRINT_LCG_LONG_RANDOM_NUMBERS)
for (int k = 0; k < nprocs_; k++) {
if (k == rank_) {
std::cout << "------------" << std::endl;
std::cout << "Process#" << rank_ << " :" << std::endl;
std::cout << "------------" << std::endl;
std::cout << rnums_[0] << std::endl;
for (GraphElem i = 1; i < n_; i++) {
rnums_[i] = (rnums_[i-1]*ALCG + BLCG)%MLCG;
std::cout << rnums_[i] << std::endl;
}
}
MPI_Barrier(comm_);
}
#else
for (GraphElem i = 1; i < n_; i++) {
rnums_[i] = (rnums_[i-1]*ALCG + BLCG)%MLCG;
}
#endif
GraphWeight mult = 1.0 / (GraphWeight)(1.0 + (GraphWeight)(MLCG-1));
#if defined(PRINT_LCG_DOUBLE_RANDOM_NUMBERS)
for (int k = 0; k < nprocs_; k++) {
if (k == rank_) {
std::cout << "------------" << std::endl;
std::cout << "Process#" << rank_ << " :" << std::endl;
std::cout << "------------" << std::endl;
for (GraphElem i = 0; i < n_; i++) {
drand_[i] = (GraphWeight)((GraphWeight)fabs(rnums_[i]) * mult ); // 0-1
std::cout << drand_[i] << std::endl;
}
}
MPI_Barrier(comm_);
}
#else
for (GraphElem i = 0; i < n_; i++)
drand_[i] = (GraphWeight)((GraphWeight)fabs(rnums_[i]) * mult); // 0-1
#endif
}
// copy from drand_[idx_start] to new_drand,
// rescale the random numbers between lo and hi
void rescale(GraphWeight* new_drand, GraphElem idx_start, GraphWeight const& lo)
{
GraphWeight range = (1.0 / (GraphWeight)nprocs_);
#if defined(PRINT_LCG_DOUBLE_LOHI_RANDOM_NUMBERS)
for (int k = 0; k < nprocs_; k++) {
if (k == rank_) {
std::cout << "------------" << std::endl;
std::cout << "Process#" << rank_ << " :" << std::endl;
std::cout << "------------" << std::endl;
for (GraphElem i = idx_start, j = 0; i < n_; i++, j++) {
new_drand[j] = lo + (GraphWeight)(range * drand_[i]);
std::cout << new_drand[j] << std::endl;
}
}
MPI_Barrier(comm_);
}
#else
for (GraphElem i = idx_start, j = 0; i < n_; i++, j++)
new_drand[j] = lo + (GraphWeight)(range * drand_[i]); // lo-hi
#endif
}
private:
MPI_Comm comm_;
int nprocs_, rank_;
unsigned seed_;
GraphElem n_, x0_;
GraphWeight* drand_;
std::vector<GraphElem> rnums_;
};
// locks
#ifdef USE_OPENMP_LOCK
#else
#ifdef USE_SPINLOCK
#include <atomic>
std::atomic_flag lkd_ = ATOMIC_FLAG_INIT;
#else
#include <mutex>
std::mutex mtx_;
#endif
void lock() {
#ifdef USE_SPINLOCK
while (lkd_.test_and_set(std::memory_order_acquire)) { ; }
#else
mtx_.lock();
#endif
}
void unlock() {
#ifdef USE_SPINLOCK
lkd_.clear(std::memory_order_release);
#else
mtx_.unlock();
#endif
}
#endif
#endif // UTILS