Update Kokkos library in LAMMPS to v3.0

This commit is contained in:
Stan Moore
2020-03-25 14:08:39 -06:00
parent 0252d8c210
commit 60864e38d1
2169 changed files with 121406 additions and 126492 deletions

View File

@ -2,10 +2,11 @@
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2014) Sandia Corporation
// Kokkos v. 3.0
// Copyright (2020) National Technology & Engineering
// Solutions of Sandia, LLC (NTESS).
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// Under the terms of Contract DE-NA0003525 with NTESS,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
@ -23,10 +24,10 @@
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// THIS SOFTWARE IS PROVIDED BY NTESS "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 SANDIA CORPORATION OR THE
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NTESS OR THE
// 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
@ -41,129 +42,132 @@
//@HEADER
*/
#include<Kokkos_Core.hpp>
#include<Kokkos_Random.hpp>
#include <Kokkos_Core.hpp>
#include <Kokkos_Random.hpp>
template<class Scalar>
struct RunGather<Scalar,UNROLL> {
static void run(int N, int K, int D, int R, int F) {
Kokkos::View<int**> connectivity("Connectivity",N,K);
Kokkos::View<Scalar*> A_in("Input",N);
Kokkos::View<Scalar*> B_in("Input",N);
Kokkos::View<Scalar*> C("Output",N);
template <class Scalar>
struct RunGather<Scalar, UNROLL> {
static void run(int N, int K, int D, int R, int F) {
Kokkos::View<int**> connectivity("Connectivity", N, K);
Kokkos::View<Scalar*> A_in("Input", N);
Kokkos::View<Scalar*> B_in("Input", N);
Kokkos::View<Scalar*> C("Output", N);
Kokkos::Random_XorShift64_Pool<> rand_pool(12313);
Kokkos::Random_XorShift64_Pool<> rand_pool(12313);
Kokkos::deep_copy(A_in,1.5);
Kokkos::deep_copy(B_in,2.0);
Kokkos::deep_copy(A_in, 1.5);
Kokkos::deep_copy(B_in, 2.0);
Kokkos::View<const Scalar*, Kokkos::MemoryTraits<Kokkos::RandomAccess> > A(A_in);
Kokkos::View<const Scalar*, Kokkos::MemoryTraits<Kokkos::RandomAccess> > B(B_in);
Kokkos::View<const Scalar*, Kokkos::MemoryTraits<Kokkos::RandomAccess> > A(
A_in);
Kokkos::View<const Scalar*, Kokkos::MemoryTraits<Kokkos::RandomAccess> > B(
B_in);
Kokkos::parallel_for("InitKernel",N,
KOKKOS_LAMBDA (const int& i) {
auto rand_gen = rand_pool.get_state();
for( int jj=0; jj<K; jj++) {
connectivity(i,jj) = (rand_gen.rand(D) + i - D/2 + N)%N;
Kokkos::parallel_for(
"InitKernel", N, KOKKOS_LAMBDA(const int& i) {
auto rand_gen = rand_pool.get_state();
for (int jj = 0; jj < K; jj++) {
connectivity(i, jj) = (rand_gen.rand(D) + i - D / 2 + N) % N;
}
rand_pool.free_state(rand_gen);
});
Kokkos::fence();
Kokkos::Timer timer;
for (int r = 0; r < R; r++) {
Kokkos::parallel_for(
"BenchmarkKernel", N, KOKKOS_LAMBDA(const int& i) {
Scalar c = Scalar(0.0);
for (int jj = 0; jj < K; jj++) {
const int j = connectivity(i, jj);
Scalar a1 = A(j);
const Scalar b = B(j);
#if (UNROLL > 1)
Scalar a2 = a1 * Scalar(1.3);
#endif
#if (UNROLL > 2)
Scalar a3 = a2 * Scalar(1.1);
#endif
#if (UNROLL > 3)
Scalar a4 = a3 * Scalar(1.1);
#endif
#if (UNROLL > 4)
Scalar a5 = a4 * Scalar(1.3);
#endif
#if (UNROLL > 5)
Scalar a6 = a5 * Scalar(1.1);
#endif
#if (UNROLL > 6)
Scalar a7 = a6 * Scalar(1.1);
#endif
#if (UNROLL > 7)
Scalar a8 = a7 * Scalar(1.1);
#endif
for (int f = 0; f < F; f++) {
a1 += b * a1;
#if (UNROLL > 1)
a2 += b * a2;
#endif
#if (UNROLL > 2)
a3 += b * a3;
#endif
#if (UNROLL > 3)
a4 += b * a4;
#endif
#if (UNROLL > 4)
a5 += b * a5;
#endif
#if (UNROLL > 5)
a6 += b * a6;
#endif
#if (UNROLL > 6)
a7 += b * a7;
#endif
#if (UNROLL > 7)
a8 += b * a8;
#endif
}
#if (UNROLL == 1)
c += a1;
#endif
#if (UNROLL == 2)
c += a1 + a2;
#endif
#if (UNROLL == 3)
c += a1 + a2 + a3;
#endif
#if (UNROLL == 4)
c += a1 + a2 + a3 + a4;
#endif
#if (UNROLL == 5)
c += a1 + a2 + a3 + a4 + a5;
#endif
#if (UNROLL == 6)
c += a1 + a2 + a3 + a4 + a5 + a6;
#endif
#if (UNROLL == 7)
c += a1 + a2 + a3 + a4 + a5 + a6 + a7;
#endif
#if (UNROLL == 8)
c += a1 + a2 + a3 + a4 + a5 + a6 + a7 + a8;
#endif
}
C(i) = c;
});
Kokkos::fence();
}
rand_pool.free_state(rand_gen);
});
Kokkos::fence();
double seconds = timer.seconds();
Kokkos::Timer timer;
for(int r = 0; r<R; r++) {
Kokkos::parallel_for("BenchmarkKernel",N,
KOKKOS_LAMBDA (const int& i) {
Scalar c = Scalar(0.0);
for( int jj=0; jj<K; jj++) {
const int j = connectivity(i,jj);
Scalar a1 = A(j);
const Scalar b = B(j);
#if(UNROLL>1)
Scalar a2 = a1*Scalar(1.3);
#endif
#if(UNROLL>2)
Scalar a3 = a2*Scalar(1.1);
#endif
#if(UNROLL>3)
Scalar a4 = a3*Scalar(1.1);
#endif
#if(UNROLL>4)
Scalar a5 = a4*Scalar(1.3);
#endif
#if(UNROLL>5)
Scalar a6 = a5*Scalar(1.1);
#endif
#if(UNROLL>6)
Scalar a7 = a6*Scalar(1.1);
#endif
#if(UNROLL>7)
Scalar a8 = a7*Scalar(1.1);
#endif
for(int f = 0; f<F; f++) {
a1 += b*a1;
#if(UNROLL>1)
a2 += b*a2;
#endif
#if(UNROLL>2)
a3 += b*a3;
#endif
#if(UNROLL>3)
a4 += b*a4;
#endif
#if(UNROLL>4)
a5 += b*a5;
#endif
#if(UNROLL>5)
a6 += b*a6;
#endif
#if(UNROLL>6)
a7 += b*a7;
#endif
#if(UNROLL>7)
a8 += b*a8;
#endif
}
#if(UNROLL==1)
c += a1;
#endif
#if(UNROLL==2)
c += a1+a2;
#endif
#if(UNROLL==3)
c += a1+a2+a3;
#endif
#if(UNROLL==4)
c += a1+a2+a3+a4;
#endif
#if(UNROLL==5)
c += a1+a2+a3+a4+a5;
#endif
#if(UNROLL==6)
c += a1+a2+a3+a4+a5+a6;
#endif
#if(UNROLL==7)
c += a1+a2+a3+a4+a5+a6+a7;
#endif
#if(UNROLL==8)
c += a1+a2+a3+a4+a5+a6+a7+a8;
#endif
}
C(i) = c ;
});
Kokkos::fence();
double bytes = 1.0 * N * K * R * (2 * sizeof(Scalar) + sizeof(int)) +
1.0 * N * R * sizeof(Scalar);
double flops = 1.0 * N * K * R * (F * 2 * UNROLL + 2 * (UNROLL - 1));
double gather_ops = 1.0 * N * K * R * 2;
printf(
"SNKDRUF: %i %i %i %i %i %i %i Time: %lfs Bandwidth: %lfGiB/s GFlop/s: "
"%lf GGather/s: %lf\n",
sizeof(Scalar) / 4, N, K, D, R, UNROLL, F, seconds,
1.0 * bytes / seconds / 1024 / 1024 / 1024, 1.e-9 * flops / seconds,
1.e-9 * gather_ops / seconds);
}
double seconds = timer.seconds();
double bytes = 1.0*N*K*R*(2*sizeof(Scalar)+sizeof(int)) + 1.0*N*R*sizeof(Scalar);
double flops = 1.0*N*K*R*(F*2*UNROLL + 2*(UNROLL-1));
double gather_ops = 1.0*N*K*R*2;
printf("SNKDRUF: %i %i %i %i %i %i %i Time: %lfs Bandwidth: %lfGiB/s GFlop/s: %lf GGather/s: %lf\n",sizeof(Scalar)/4,N,K,D,R,UNROLL,F,seconds,1.0*bytes/seconds/1024/1024/1024,1.e-9*flops/seconds,1.e-9*gather_ops/seconds);
}
};