README.md

Title: Polyhedral Model Guided Automatic GPU Cache Exploitation Framework

Authors: Abhishek A. Patwardhan, Ramakrishna Upadrasta

IEEE International Conference on High Performance Computing & Simulation, Spl Compiler Design And Optimization Session, Dublin, Ireland, 2019

https://ieeexplore.ieee.org/document/9188095

Developed at IIT Hyderabad, India

An initial stage of this work received Best poster award at IEEE HiPC, 2016, Hyderabad, India

https://www.researchgate.net/publication/333929391_Texturizing_PPCG_Supporting_Texture_Memory_in_a_Polyhedral_Compiler

Description :

Automatic Exploitation of GPU caches (Texture, constant, Surface) via static framework within a state-of-art Polyhedral Compiler for GPUs (PPCG).

Dependencies :

PPCG, ISL

For bugs/suggestions write to:

cs15mtech11015@iith.ac.in

2016-2019

@INPROCEEDINGS{9188095,
author={A. A. {Patwardhan} and R. {Upadrasta}},
booktitle={2019 International Conference on High Performance Computing Simulation (HPCS)}, title={Polyhedral Model Guided Automatic GPU Cache Exploitation Framework}, year={2019}, pages={496-503},}

If you use PPCG for your research, you are invited to cite the following paper.

@article{Verdoolaege2013PPCG, author = {Verdoolaege, Sven and Juega, Juan Carlos and Cohen, Albert and G'{o}mez, Jos{'e} Ignacio and Tenllado, Christian and Catthoor, Francky}, title = {Polyhedral parallel code generation for CUDA}, journal = {ACM Trans. Archit. Code Optim.}, issue_date = {January 2013}, volume = {9}, number = {4}, month = jan, year = {2013}, issn = {1544-3566}, pages = {54:1--54:23}, doi = {10.1145/2400682.2400713}, acmid = {2400713}, publisher = {ACM}, address = {New York, NY, USA}, }