/Optimize-the-performance-of-Matrixprogram-using-program-analysis-Multithreading-and-CUDAprogramming

Primary LanguageC

HPCA Assignment

Optimize diagonal matrix multiplication using hardware counters. Contained are two folders:

  • PartA: single-threaded and multi-threaded program.
  • PartB: GPU program.

Each folder contains two sub-folders, a Makefile, and a main program.

  • Makefile: Contains commands necessary to compile, generate inputs, and run the program.
  • data folder: Contains program that generates input, and will contain input once generated.
  • header folder: Files containing the function that performs the operation.
  • main.cpp: Program that takes inputs and executes the functions.

Navigate to each folder to begin setting up the system. Inside each folder do the following:

Compiling and generating input

Use the following command to compile the programs and generate required input:

make

PART A

Running program

You can use make to run the executable with the following command:

make run

Alternatively, you can manually run the program for the different input sets using the following commands:

./diag_mult data/input_4096.in
./diag_mult data/input_8192.in
./diag_mult data/input_16384.in

PART B

To compile the code for use on native GPU use the following command:

make server

For use with GPGPU-Sim, additional flags are required during compilation, which can be done with the following command:

make sim

You can use make to run the executable with the following command for native execution:

make run_server

When running on GPGPU-Sim, use the following command instead:

make run_sim