add transpose multi-GPU DPC++ skeleton

Cxx11/Makefile

@@ -97,7 +97,7 @@ sycl-usm: nstream-sycl-usm nstream-sycl-explicit-usm stencil-sycl-usm transpose-
 
 sycl-explicit: nstream-sycl-explicit transpose-sycl-explicit
 
-dpcpp: nstream-dpcpp nstream-multigpu-dpcpp stencil-dpcpp stencil-multigpu-dpcpp transpose-dpcpp
+dpcpp: nstream-dpcpp nstream-multigpu-dpcpp stencil-dpcpp stencil-multigpu-dpcpp transpose-dpcpp transpose-multigpu-dpcpp
 
 tbb: p2p-innerloop-tbb p2p-tbb stencil-tbb transpose-tbb nstream-tbb \
      p2p-hyperplane-tbb p2p-tasks-tbb

Cxx11/transpose-multigpu-dpcpp.cc

@@ -0,0 +1,181 @@
+///
+/// Copyright (c) 2020, Intel Corporation
+///
+/// Redistribution and use in source and binary forms, with or without
+/// modification, are permitted provided that the following conditions
+/// are met:
+///
+/// * Redistributions of source code must retain the above copyright
+///       notice, this list of conditions and the following disclaimer.
+/// * 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.
+/// * Neither the name of Intel Corporation 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 OWNER 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.
+
+//////////////////////////////////////////////////////////////////////
+///
+/// NAME:    transpose
+///
+/// PURPOSE: This program measures the time for the transpose of a
+///          column-major stored matrix into a row-major stored matrix.
+///
+/// USAGE:   Program input is the matrix order and the number of times to
+///          repeat the operation:
+///
+///          transpose <matrix_size> <# iterations>
+///
+///          The output consists of diagnostics to make sure the
+///          transpose worked and timing statistics.
+///
+/// HISTORY: Written by  Rob Van der Wijngaart, February 2009.
+///          Converted to C++11 by Jeff Hammond, February 2016 and May 2017.
+///
+//////////////////////////////////////////////////////////////////////
+
+#include "prk_util.h"
+#include "prk_sycl.h"
+
+int main(int argc, char * argv[])
+{
+  std::cout << "Parallel Research Kernels version " << PRKVERSION << std::endl;
+  std::cout << "C++11/DPCT Matrix transpose: B = A^T" << std::endl;
+
+  //////////////////////////////////////////////////////////////////////
+  /// Read and test input parameters
+  //////////////////////////////////////////////////////////////////////
+
+  int iterations;
+  size_t order;
+  try {
+      if (argc < 3) {
+        throw "Usage: <# iterations> <matrix order>";
+      }
+
+      iterations  = std::atoi(argv[1]);
+      if (iterations < 1) {
+        throw "ERROR: iterations must be >= 1";
+      }
+
+      order = std::atoi(argv[2]);
+      if (order <= 0) {
+        throw "ERROR: Matrix Order must be greater than 0";
+      } else if (order > prk::get_max_matrix_size()) {
+        throw "ERROR: matrix dimension too large - overflow risk";
+      }
+  }
+  catch (const char * e) {
+    std::cout << e << std::endl;
+    return 1;
+  }
+
+  std::cout << "Number of iterations  = " << iterations << std::endl;
+  std::cout << "Matrix order          = " << order << std::endl;
+
+  sycl::queue q(sycl::default_selector{});
+  prk::SYCL::print_device_platform(q);
+
+  //////////////////////////////////////////////////////////////////////
+  // Allocate space for the input and transpose matrix
+  //////////////////////////////////////////////////////////////////////
+
+  const size_t nelems = (size_t)order * (size_t)order;
+  const size_t bytes = nelems * sizeof(double);
+  double * h_a = syclx::malloc_host<double>( nelems, q);
+  double * h_b = syclx::malloc_host<double>( nelems, q);
+
+  // fill A with the sequence 0 to order^2-1
+  for (int j=0; j<order; j++) {
+    for (int i=0; i<order; i++) {
+      h_a[j*order+i] = static_cast<double>(order*j+i);
+      h_b[j*order+i] = static_cast<double>(0);
+    }
+  }
+
+  // copy input from host to device
+  double * A = syclx::malloc_device<double>( nelems, q);
+  double * B = syclx::malloc_device<double>( nelems, q);
+  q.memcpy(A, &(h_a[0]), bytes).wait();
+  q.memcpy(B, &(h_b[0]), bytes).wait();
+
+  auto trans_time = 0.0;
+
+  for (int iter = 0; iter<=iterations; iter++) {
+
+      if (iter==1) trans_time = prk::wtime();
+
+      q.submit([&](sycl::handler& h) {
+
+        h.parallel_for( sycl::range<2>{order,order}, [=] (sycl::id<2> it) {
+#if USE_2D_INDEXING
+          sycl::id<2> ij{it[0],it[1]};
+          sycl::id<2> ji{it[1],it[0]};
+          B[ij] += A[ji];
+          A[ji] += (T)1;
+#else
+          B[it[0] * order + it[1]] += A[it[1] * order + it[0]];
+          A[it[1] * order + it[0]] += 1.0;
+#endif
+        });
+      });
+      q.wait();
+  }
+  trans_time = prk::wtime() - trans_time;
+
+  // copy output back to host
+  q.memcpy(&(h_b[0]), B, bytes).wait();
+
+  syclx::free(B, q);
+  syclx::free(A, q);
+
+  //////////////////////////////////////////////////////////////////////
+  /// Analyze and output results
+  //////////////////////////////////////////////////////////////////////
+
+  const double addit = (iterations+1.) * (iterations/2.);
+  double abserr(0);
+  for (int j=0; j<order; j++) {
+    for (int i=0; i<order; i++) {
+      const size_t ij = (size_t)i*(size_t)order+(size_t)j;
+      const size_t ji = (size_t)j*(size_t)order+(size_t)i;
+      const double reference = static_cast<double>(ij)*(1.+iterations)+addit;
+      abserr += prk::abs(h_b[ji] - reference);
+    }
+  }
+
+  syclx::free(h_b, q);
+  syclx::free(h_a, q);
+
+  const auto epsilon = 1.0e-8;
+  if (abserr < epsilon) {
+    std::cout << "Solution validates" << std::endl;
+    auto avgtime = trans_time/iterations;
+    auto bytes = (size_t)order * (size_t)order * sizeof(double);
+    std::cout << "Rate (MB/s): " << 1.0e-6 * (2L*bytes)/avgtime
+              << " Avg time (s): " << avgtime << std::endl;
+  } else {
+    std::cout << "ERROR: Aggregate squared error " << abserr
+              << " exceeds threshold " << epsilon << std::endl;
+    return 1;
+  }
+
+  return 0;
+}
+
+