Initial entry

This commit is contained in:
Wes Bethel 2022-10-11 11:43:00 -07:00
parent bd8e1da154
commit 7ee3419f2b
6 changed files with 294 additions and 2 deletions

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CMakeLists.txt Normal file
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# copyright (C) 2022, E. Wes Bethel
cmake_minimum_required( VERSION 3.5)
project (sum_harness_instructional LANGUAGES CXX)
set(CMAKE_BUILD_TYPE "Release")
#set(CMAKE_CXX_FLAGS "-Wall") # uncomment this line to turn on compiler warnings
# info for setting the compiler optimization level
# option 1 (best approach): set the CMAKE_CXX_FLAGS_RELEASE environment variable then run cmake
# for full optimization:
# bash users:
# % export CMAKE_CXX_FLAGS_RELEASE="-O3"
# csh users:
# % setenv CMAKE_CXX_FLAGS_RELEASE "-O3"
# for no optimization:
# bash users:
# % export CMAKE_CXX_FLAGS_RELEASE="-O0"
# csh users:
# % setenv CMAKE_CXX_FLAGS_RELEASE "-O0"
# option 2 (works but not preferred): uncomment one of the following two lines then run/rerun cmake:
# -O3 is full optimization in gcc/g++
#set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -O3")
# -O0 is no optimization in gcc/g++
#set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -O0")
#
# start of cmake rules: you shouldn't need to modify anything below here
# common library target for benchmarking
add_library(benchmark OBJECT benchmark.cpp)
target_compile_features(benchmark PRIVATE cxx_std_11)
add_executable (sum_direct sum_direct.cpp)
target_link_libraries(sum_direct PRIVATE benchmark)
target_compile_features(sum_direct PRIVATE cxx_std_11)
target_compile_options(sum_direct PRIVATE -Wall -pedantic -march=native)
#set(BENCHMARK "direct")
#configure_file(job.in job-${BENCHMARK})
add_executable (sum_vector sum_vector.cpp)
target_link_libraries(sum_vector PRIVATE benchmark)
target_compile_features(sum_vector PRIVATE cxx_std_11)
target_compile_options(sum_vector PRIVATE -Wall -pedantic -march=native)
add_executable (sum_indirect sum_indirect.cpp)
target_link_libraries(sum_indirect PRIVATE benchmark)
target_compile_features(sum_indirect PRIVATE cxx_std_11)
target_compile_options(sum_indirect PRIVATE -Wall -pedantic -march=native)
# EOF

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# sum_harness_instructional
Code harness for 3 different methods of computing a sum
Readme file for sum_harness_instructional
# sum_harness_instructional code harness
This directory contains a benchmark harness for testing different implementations of
summing numbers.
A single high-level main() is present in the benchmark.cpp file, which has definitions of proble3m sizes and so forth.
This main() will make calls to two routines that must be provided by your code:
* setup(N, A) // where you initialize N values in A
* result = sum(N, A) // where you compute the sum of N values in A and return the answer
This harness will generate three different executables using the one benchmark.cpp containing main(), and then using sum_direct.cpp, sum_indirect.cpp, or sum_vector.cpp.
Your job is to:
* Add code for setup() and sum() in each of sum_direct.cpp, sum_indirect.cpp, and sum_vector.cpp
* Add instrumention code in benchmark.cpp to measure elapsed time for the call to the sum() routine
You should not need to modify anything inside CMakeLists.txt.
# Default build instructions:
% cd sum_harness_instructional # contains the source files and CMakeLists.txt file
% mkdir build
% cd build
% cmake ../ # cmake generates lots of output
% make # to build the programs
# Additional build options -- Compiler Optimization Level
By default, the CMakeLists.txt will do a "Release" build, which means there will be full compiler optimizations.
There are two methods for modifying the compiler optimization level.
Option 1 (best approach): set the CMAKE_CXX_FLAGS_RELEASE environment variable then run cmake
For full optimization:
bash users:
% export CMAKE_CXX_FLAGS_RELEASE="-O3"
csh users:
% setenv CMAKE_CXX_FLAGS_RELEASE "-O3"
For no optimization:
bash users:
% export CMAKE_CXX_FLAGS_RELEASE="-O0"
csh users:
% setenv CMAKE_CXX_FLAGS_RELEASE "-O0"
Option 2 (works but not preferred): uncomment one of the following two lines then run/rerun cmake:
For -O3: full optimization
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -O3")
For -O0: no optimization in gcc/g++
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -O0")
Note: if you modify CMakeLists.txt, you will need to rerun cmake and then rerun make. If you need to rerun cmake, it is best to delete everything in the build directory and start from scratch (\rm -rf).
# Adding your code
You will need to add code in three places:
* Inside benchmark.cpp: please add instrumentation code that will measure and report elapsed time consumed by the call to the sum() routine. Please refer to the chrono_timer code for an example of how to do this kind of time measurement.
* The setup() routine inside each of sum_direct.cpp, sum_indirect.cpp, and sum_vector.cpp. See the homework writeup for details on how to perform initialization for each of these different codes.
* The sum() routine inside each of sum_direct.cpp, sum_indirect.cpp, and sum_vector.cpp. See the homework writeup for details on how to perform the sum operation for each of these different codes.
# Running the codes
Once the codes are built, you should be able to just run each one from the command line:
% ./sum_direct
or
% ./sum_indirect
or
% ./sum_vector
When you run each code, it will iterate through the set of problem sizes predefined inside benchmark.cpp
# EOF

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benchmark.cpp Normal file
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//
// (C) 2022, E. Wes Bethel
// benchmark-* harness for running different versions of the sum study
// over different problem sizes
//
// usage: no command line arguments
// set problem sizes, block sizes in the code below
#include <algorithm>
#include <chrono>
#include <iomanip>
#include <iostream>
#include <random>
#include <vector>
#include <string.h>
extern void setup(int64_t N, uint64_t A[]);
extern int64_t sum(int64_t N, uint64_t A[]);
/* The benchmarking program */
int main(int argc, char** argv)
{
std::cout << std::fixed << std::setprecision(2);
printf(" hello world \n");
std::vector<int> test_sizes{64, 128, 256, 512, 1024, 2048};
//#define MAX_PROBLEM_SIZE 500000000
//#define MAX_PROBLEM_SIZE 1 << 20 // 1M
//#define MAX_PROBLEM_SIZE 1 << 24 // 16M
//#define MAX_PROBLEM_SIZE 1 << 27 // 128M
#define MAX_PROBLEM_SIZE 1 << 28 // 256M
//#define MAX_PROBLEM_SIZE 1 << 30 // 1 G
//std::vector<int64_t> problem_sizes{100000, 500000, 1000000, 5000000, 10000000, 50000000, 100000000, MAX_PROBLEM_SIZE};
//std::vector<int64_t> problem_sizes{ MAX_PROBLEM_SIZE};
std::vector<int64_t> problem_sizes{ MAX_PROBLEM_SIZE >> 5, MAX_PROBLEM_SIZE >> 4, MAX_PROBLEM_SIZE >> 3, MAX_PROBLEM_SIZE >> 2, MAX_PROBLEM_SIZE >> 1, MAX_PROBLEM_SIZE};
std::vector<uint64_t> A(MAX_PROBLEM_SIZE);
//int A[MAX_PROBLEM_SIZE]; // buffer big enough for all problem sizes
// int A[MAX_PROBLEM_SIZE]; // buffer big enough for all problem sizes
int64_t t;
int n_problems = problem_sizes.size();
printf(" hello world again \n");
/* For each test size */
for (int n : problem_sizes)
{
printf("Working on problem size N=%d \n", n);
// invoke user code to set up the problem
setup(n, &A[0]);
// insert timer code here
// invoke method to perform the sum
t = sum(n, &A[0]);
// insert end timer code here, and print out elapsed time for this problem size
printf(" Sum result = %lld \n",t);
} // end loop over problem sizes
}
// EOF

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sum_direct.cpp Normal file
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#include <algorithm>
#include <chrono>
#include <iomanip>
#include <iostream>
#include <random>
#include <vector>
#include <string.h>
void
setup(int64_t N, uint64_t A[])
{
printf(" inside direct_sum problem_setup, N=%lld \n", N);
}
int64_t
sum(int64_t N, uint64_t A[])
{
printf(" inside direct_sum perform_sum, N=%lld \n", N);
return 0;
}

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sum_indirect.cpp Normal file
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#include <algorithm>
#include <chrono>
#include <iomanip>
#include <iostream>
#include <random>
#include <vector>
#include <string.h>
void
setup(int64_t N, uint64_t A[])
{
printf(" inside sum_indirect problem_setup, N=%lld \n", N);
}
int64_t
sum(int64_t N, uint64_t A[])
{
printf(" inside sum_indirect perform_sum, N=%lld \n", N);
return 0;
}

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sum_vector.cpp Normal file
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#include <algorithm>
#include <chrono>
#include <iomanip>
#include <iostream>
#include <random>
#include <vector>
#include <string.h>
void
setup(int64_t N, uint64_t A[])
{
printf(" inside sum_vector problem_setup, N=%lld \n", N);
}
int64_t
sum(int64_t N, uint64_t A[])
{
printf(" inside sum_vector perform_sum, N=%lld \n", N);
return 0;
}