Updating kokkos lib
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@14918 f3b2605a-c512-4ea7-a41b-209d697bcdaa
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INCLUDE_DIRECTORIES(${CMAKE_CURRENT_BINARY_DIR})
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INCLUDE_DIRECTORIES(${CMAKE_CURRENT_SOURCE_DIR})
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IF (Kokkos_ENABLE_CXX11)
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# This is a tutorial, not a test, so we don't ask CTest to run it.
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TRIBITS_ADD_EXECUTABLE(
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tutorial_03_simple_view_lambda
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SOURCES simple_view_lambda.cpp
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COMM serial mpi
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)
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ENDIF ()
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KOKKOS_PATH = ../../..
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SRC = $(wildcard *.cpp)
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default: build
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echo "Start Build"
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ifneq (,$(findstring Cuda,$(KOKKOS_DEVICES)))
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CXX = nvcc_wrapper
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CXXFLAGS = -O3
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LINK = ${CXX}
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LINKFLAGS =
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EXE = $(SRC:.cpp=.cuda)
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KOKKOS_DEVICES = "Cuda,OpenMP"
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KOKKOS_ARCH = "SNB,Kepler35"
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KOKKOS_CUDA_OPTIONS = "enable_lambda"
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else
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CXX = g++
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CXXFLAGS = -O3
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LINK = ${CXX}
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LINKFLAGS =
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EXE = $(SRC:.cpp=.host)
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KOKKOS_DEVICES = "OpenMP"
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KOKKOS_ARCH = "SNB"
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endif
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DEPFLAGS = -M
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OBJ = $(SRC:.cpp=.o)
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LIB =
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include $(KOKKOS_PATH)/Makefile.kokkos
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build: $(EXE)
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$(EXE): $(OBJ) $(KOKKOS_LINK_DEPENDS)
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$(LINK) $(KOKKOS_LDFLAGS) $(LINKFLAGS) $(EXTRA_PATH) $(OBJ) $(KOKKOS_LIBS) $(LIB) -o $(EXE)
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clean: kokkos-clean
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rm -f *.o *.cuda *.host
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# Compilation rules
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%.o:%.cpp $(KOKKOS_CPP_DEPENDS)
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$(CXX) $(KOKKOS_CPPFLAGS) $(KOKKOS_CXXFLAGS) $(CXXFLAGS) $(EXTRA_INC) -c $<
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@ -1,116 +0,0 @@
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/*
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//@HEADER
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// ************************************************************************
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//
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// Kokkos v. 2.0
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// Copyright (2014) Sandia Corporation
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//
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// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
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// the U.S. Government retains certain rights in this software.
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are
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// met:
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//
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// 1. Redistributions of source code must retain the above copyright
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// notice, this list of conditions and the following disclaimer.
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//
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// 2. Redistributions in binary form must reproduce the above copyright
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// notice, this list of conditions and the following disclaimer in the
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// documentation and/or other materials provided with the distribution.
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//
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// 3. Neither the name of the Corporation nor the names of the
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// contributors may be used to endorse or promote products derived from
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// this software without specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
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// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
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// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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//
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// Questions? Contact H. Carter Edwards (hcedwar@sandia.gov)
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//
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// ************************************************************************
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//@HEADER
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*/
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//
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// First Kokkos::View (multidimensional array) example:
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// 1. Start up Kokkos
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// 2. Allocate a Kokkos::View
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// 3. Execute a parallel_for and a parallel_reduce over that View's data
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// 4. Shut down Kokkos
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//
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// Compare this example to 03_simple_view, which uses functors to
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// define the loop bodies of the parallel_for and parallel_reduce.
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//
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#include <Kokkos_Core.hpp>
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#include <cstdio>
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// A Kokkos::View is an array of zero or more dimensions. The number
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// of dimensions is specified at compile time, as part of the type of
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// the View. This array has two dimensions. The first one
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// (represented by the asterisk) is a run-time dimension, and the
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// second (represented by [3]) is a compile-time dimension. Thus,
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// this View type is an N x 3 array of type double, where N is
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// specified at run time in the View's constructor.
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//
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// The first dimension of the View is the dimension over which it is
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// efficient for Kokkos to parallelize.
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typedef Kokkos::View<double*[3]> view_type;
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int main (int argc, char* argv[]) {
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Kokkos::initialize (argc, argv);
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// Allocate the View. The first dimension is a run-time parameter
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// N. We set N = 10 here. The second dimension is a compile-time
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// parameter, 3. We don't specify it here because we already set it
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// by declaring the type of the View.
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//
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// Views get initialized to zero by default. This happens in
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// parallel, using the View's memory space's default execution
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// space. Parallel initialization ensures first-touch allocation.
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// There is a way to shut off default initialization.
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//
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// You may NOT allocate a View inside of a parallel_{for, reduce,
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// scan}. Treat View allocation as a "thread collective."
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//
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// The string "A" is just the label; it only matters for debugging.
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// Different Views may have the same label.
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view_type a ("A", 10);
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// Fill the View with some data. The parallel_for loop will iterate
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// over the View's first dimension N.
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//
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// Note that the View is passed by value into the lambda. The macro
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// KOKKOS_LAMBDA includes the "capture by value" clause [=]. This
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// tells the lambda to "capture all variables in the enclosing scope
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// by value." Views have "view semantics"; they behave like
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// pointers, not like std::vector. Passing them by value does a
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// shallow copy. A deep copy never happens unless you explicitly
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// ask for one.
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Kokkos::parallel_for (10, KOKKOS_LAMBDA (const int i) {
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// Acesss the View just like a Fortran array. The layout depends
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// on the View's memory space, so don't rely on the View's
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// physical memory layout unless you know what you're doing.
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a(i,0) = 1.0*i;
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a(i,1) = 1.0*i*i;
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a(i,2) = 1.0*i*i*i;
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});
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// Reduction functor that reads the View given to its constructor.
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double sum = 0;
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Kokkos::parallel_reduce (10, KOKKOS_LAMBDA (const int i, double& lsum) {
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lsum += a(i,0)*a(i,1)/(a(i,2)+0.1);
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}, sum);
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printf ("Result: %f\n", sum);
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Kokkos::finalize ();
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}
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