Skip to content

Data-specific SpMV codes for selected SuiteSparse matrices

License

Notifications You must be signed in to change notification settings

gabriel-rodriguez/DS-SpMV

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 

Repository files navigation

DS-SpMV

Data-specific SpMV codes for selected SuiteSparse matrices

This repository contains the codes used for the experimental results in the papers:

*(pldi19) Travis Augustine, Janarthanan Sarma, Louis-Noël Pouchet, Gabriel Rodríguez, Generating piecewise-regular code from irregular structures, 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI, Phoenix, AZ (USA), June 2019.

*(pact22) Marcos Horro, Louis-Noël Pouchet, Gabriel Rodríguez, Juan Touriño, Custom High-Performance Vector Code Generation for Data-Specific Sparse Computations. 31st International Conference on Parallel Architectures and Compilation Techniques, PACT, Chicago, IL (USA), October 2022.

These are provided in raw form, as used during our experiments. They can be compiled using the provided Makefiles, and expect to receive as input the corresponding SuiteSparse file in RB format.

For help with compilation, execution or environmental setup, or for more details, contact gabriel.rodriguez@udc.es.

About

Data-specific SpMV codes for selected SuiteSparse matrices

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published