Anand Venkat

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 16

Top Topics

Code Generation

Top Venues

Int. J. High Perform. Comput. Appl.

Publications

Tharindu Rusira Patabandi, Anand Venkat, Abhishek Kulkarni, Pushkar Ratnalikar, Mary W. Hall, Justin Gottschlich
Predictive data locality optimization for higher-order tensor computations. MAPS@PLDI (2021)
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
MISIM: An End-to-End Neural Code Similarity System. CoRR (2020)
Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Paul Petersen, Jesmin Jahan Tithi, Tim Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich
Context-Aware Parse Trees. CoRR (2020)
Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke
Harnessing Deep Learning via a Single Building Block. IPDPS (2020)
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
Sparse computation data dependence simplification for efficient compiler-generated inspectors. PLDI (2019)
Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke
High-Performance Deep Learning via a Single Building Block. CoRR (2019)
Anand Venkat, Tharindu Rusira, Raj Barik, Mary W. Hall, Leonard Truong
SWIRL: High-performance many-core CPU code generation for deep neural networks. Int. J. High Perform. Comput. Appl. 33 (6) (2019)
Matthew Sotoudeh, Anand Venkat, Michael J. Anderson, Evangelos Georganas, Alexander Heinecke, Jason Knight
ISA mapper: a compute and hardware agnostic deep learning compiler. CF (2019)
Tharindu Rusira Patabandi, Anand Venkat, Rajkishore Barik, Mary W. Hall
SWIRL++ : Evaluating Performance Models to Guide Code Transformation in Convolutional Neural Networks. LCPC (2019)
Mahdi Soltan Mohammadi, Kazem Cheshmi, Maryam Mehri Dehnavi, Anand Venkat, Tomofumi Yuki, Michelle Mills Strout
Extending Index-Array Properties for Data Dependence Analysis. LCPC (2018)
Mahdi Soltan Mohammadi, Kazem Cheshmi, Ganesh Gopalakrishnan, Mary W. Hall, Maryam Mehri Dehnavi, Anand Venkat, Tomofumi Yuki, Michelle Mills Strout
Sparse Matrix Code Dependence Analysis Simplification at Compile Time. CoRR (2018)
Matthew Sotoudeh, Anand Venkat, Michael J. Anderson, Evangelos Georganas, Alexander Heinecke, Jason Knight
ISA Mapper: A Compute and Hardware Agnostic Deep Learning Compiler. CoRR (2018)
Anand Venkat, Mahdi Soltan Mohammadi, Jongsoo Park, Hongbo Rong, Rajkishore Barik, Michelle Mills Strout, Mary W. Hall
Automating wavefront parallelization for sparse matrix computations. SC (2016)
Rashid Kaleem, Anand Venkat, Sreepathi Pai, Mary W. Hall, Keshav Pingali
Synchronization Trade-Offs in GPU Implementations of Graph Algorithms. IPDPS (2016)
Khalid Ahmad, Anand Venkat, Mary W. Hall
Optimizing LOBPCG: Sparse Matrix Loop and Data Transformations in Action. LCPC (2016)
Huihui Zhang, Anand Venkat, Mary W. Hall
Compiler Transformation to Generate Hybrid Sparse Computations. IA3@SC (2016)
Anand Venkat, Mary W. Hall, Michelle Strout
Loop and data transformations for sparse matrix code. PLDI (2015)
Anand Venkat, Manu Shantharam, Mary W. Hall, Michelle Mills Strout
Non-affine Extensions to Polyhedral Code Generation. CGO (2014)
Protonu Basu, Mary W. Hall, Malik Murtaza Khan, Suchit Maindola, Saurav Muralidharan, Shreyas Ramalingam, Axel Rivera, Manu Shantharam, Anand Venkat
Towards making autotuning mainstream. Int. J. High Perform. Comput. Appl. 27 (4) (2013)
Protonu Basu, Anand Venkat, Mary W. Hall, Samuel Williams, Brian van Straalen, Leonid Oliker
Compiler generation and autotuning of communication-avoiding operators for geometric multigrid. HiPC (2013)