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p2p.jl
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#
# Copyright (c) 2015, 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: Pipeline
#
# PURPOSE: This program tests the efficiency with which point-to-point
# synchronization can be carried out. It does so by executing
# a pipelined algorithm on an m*n grid. The first array dimension
# is distributed among the threads (stripwise decomposition).
#
# USAGE: The program takes as input the
# dimensions of the grid, and the number of iterations on the grid
#
# <progname> <iterations> <m> <n>
#
# The output consists of diagnostics to make sure the
# algorithm worked, and of timing statistics.
#
# FUNCTIONS CALLED:
#
# Other than standard C functions, the following
# functions are used in this program:
#
# HISTORY: - Written by Rob Van der Wijngaart, February 2009.
# - Converted to Python by Jeff Hammond, February 2016.
# - Converted to Julia by Jeff Hammond, June 2016.
#
# *******************************************************************
function iterate_over_grid!(grid, m, n)
for j = 2:n
for i = 2:m
@inbounds grid[i,j] = grid[i-1,j] + grid[i,j-1] - grid[i-1,j-1]
end
end
end
function main()
# ********************************************************************
# read and test input parameters
# ********************************************************************
println("Parallel Research Kernels version ") #, PRKVERSION)
println("Julia pipeline execution on 2D grid")
if length(ARGS) != 3
println("argument count = ", length(ARGS))
println("Usage: ./synch_p2p <# iterations> <first array dimension> <second array dimension>")
exit(1)
end
argv = map(x->parse(Int64,x),ARGS)
iterations = argv[1]
if iterations < 1
println("ERROR: iterations must be >= 1")
exit(2)
end
m = argv[2]
if m < 1
println("ERROR: array dimension must be >= 1")
exit(3)
end
n = argv[3]
if n < 1
println("ERROR: array dimension must be >= 1")
exit(4)
end
println("Grid sizes = ", m, ",", n)
println("Number of iterations = ", iterations)
grid = zeros(Float64,m,n)
grid[1,1:n] = collect(Float64,0:n-1)
grid[1:m,1] = collect(Float64,0:m-1)
# precompile the hot function to smooth performance measurement
precompile(iterate_over_grid!, (Array{Float64, 2}, Int64, Int64))
t0 = time_ns()
for k = 1:iterations+1
iterate_over_grid!(grid, m, n)
# copy top right corner value to bottom left corner to create dependency
grid[1,1] = -grid[m,n]
end
t1 = time_ns()
# convert time from nanoseconds to seconds
pipeline_time = (t1 - t0) * 1.e-9
# ********************************************************************
# ** Analyze and output results.
# ********************************************************************
epsilon=1.e-8
# verify correctness, using top right value
corner_val = Float64((iterations+1)*(n+m-2))
if (abs(grid[m,n] - corner_val)/corner_val) < epsilon
println("Solution validates")
avgtime = pipeline_time/iterations
println("Rate (MFlops/s): ", 1.e-6*2*(m)*(n)/avgtime, " Avg time (s): ",avgtime)
else
println("ERROR: checksum ", grid[m,n], " does not match verification value ", corner_val)
exit(9)
end
end
main()