Anand Venkat

According to our database, Anand Venkat authored at least 20 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Predictive data locality optimization for higher-order tensor computations.

Tharindu Rusira Patabandi, Anand Venkat, Abhishek Kulkarni, Pushkar Ratnalikar, Mary W. Hall, Justin Gottschlich

Proceedings of the MAPS@PLDI 2021: Proceedings of the 5th ACM SIGPLAN International Symposium on Machine Programming, 2021

2020

MISIM: An End-to-End Neural Code Similarity System.

Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Nesime Tatbul, Jesmin Jahan Tithi, Paul Petersen, Timothy G. Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich

CoRR, 2020

Context-Aware Parse Trees.

Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Paul Petersen, Jesmin Jahan Tithi, Tim Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich

CoRR, 2020

Harnessing Deep Learning via a Single Building Block.

Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019

SWIRL: High-performance many-core CPU code generation for deep neural networks.

Anand Venkat, Tharindu Rusira, Raj Barik, Mary W. Hall, Leonard Truong

Int. J. High Perform. Comput. Appl., 2019

High-Performance Deep Learning via a Single Building Block.

Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke

CoRR, 2019

Sparse computation data dependence simplification for efficient compiler-generated inspectors.

Mahdi Soltan Mohammadi, Tomofumi Yuki, Kazem Cheshmi, Eddie C. Davis, Mary W. Hall, Maryam Mehri Dehnavi, Payal Nandy, Catherine Olschanowsky, Anand Venkat, Michelle Mills Strout

Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

SWIRL++ : Evaluating Performance Models to Guide Code Transformation in Convolutional Neural Networks.

Tharindu Rusira Patabandi, Anand Venkat, Rajkishore Barik, Mary W. Hall

Proceedings of the Languages and Compilers for Parallel Computing, 2019

ISA mapper: a compute and hardware agnostic deep learning compiler.

Matthew Sotoudeh, Anand Venkat, Michael J. Anderson, Evangelos Georganas, Alexander Heinecke, Jason Knight

Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018

Sparse Matrix Code Dependence Analysis Simplification at Compile Time.

Mahdi Soltan Mohammadi, Kazem Cheshmi, Ganesh Gopalakrishnan, Mary W. Hall, Maryam Mehri Dehnavi, Anand Venkat, Tomofumi Yuki, Michelle Mills Strout

CoRR, 2018

Extending Index-Array Properties for Data Dependence Analysis.

Mahdi Soltan Mohammadi, Kazem Cheshmi, Maryam Mehri Dehnavi, Anand Venkat, Tomofumi Yuki, Michelle Mills Strout

Proceedings of the Languages and Compilers for Parallel Computing, 2018

2016

An Integrated Compiler and Runtime Framework for Sparse Matrix Codes.

Anand Venkat

PhD thesis, 2016

Compiler Transformation to Generate Hybrid Sparse Computations.

Huihui Zhang, Anand Venkat, Mary W. Hall

Proceedings of the 6th Workshop on Irregular Applications: Architecture and Algorithms, 2016

Automating wavefront parallelization for sparse matrix computations.

Anand Venkat, Mahdi Soltan Mohammadi, Jongsoo Park, Hongbo Rong, Rajkishore Barik, Michelle Mills Strout, Mary W. Hall

Proceedings of the International Conference for High Performance Computing, 2016

Optimizing LOBPCG: Sparse Matrix Loop and Data Transformations in Action.

Khalid Ahmad, Anand Venkat, Mary W. Hall

Proceedings of the Languages and Compilers for Parallel Computing, 2016

Synchronization Trade-Offs in GPU Implementations of Graph Algorithms.

Rashid Kaleem, Anand Venkat, Sreepathi Pai, Mary W. Hall, Keshav Pingali

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015

Loop and data transformations for sparse matrix code.

Anand Venkat, Mary W. Hall, Michelle Strout

Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2015

2014

Non-affine Extensions to Polyhedral Code Generation.

Anand Venkat, Manu Shantharam, Mary W. Hall, Michelle Mills Strout

Proceedings of the 12th Annual IEEE/ACM International Symposium on Code Generation and Optimization, 2014

2013

Towards making autotuning mainstream.

Protonu Basu, Mary W. Hall, Malik Murtaza Khan, Suchit Maindola, Saurav Muralidharan, Shreyas Ramalingam, Axel Rivera, Manu Shantharam, Anand Venkat

Int. J. High Perform. Comput. Appl., 2013

Compiler generation and autotuning of communication-avoiding operators for geometric multigrid.

Protonu Basu, Anand Venkat, Mary W. Hall, Samuel Williams, Brian van Straalen, Leonid Oliker

Proceedings of the 20th Annual International Conference on High Performance Computing, 2013