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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

Developed at IIT Hyderabad, India

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

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}, }

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