| An overview of the BlueGene/L supercomputer NR Adiga, G Almási, GS Almasi, Y Aridor, R Barik, D Beece, R Bellofatto, ... SC'02: Proceedings of the 2002 ACM/IEEE Conference on Supercomputing, 60-60, 2002 | 701 | 2002 |
| Work-first and help-first scheduling policies for async-finish task parallelism Y Guo, R Barik, R Raman, V Sarkar 2009 IEEE International Symposium on Parallel & Distributed Processing, 1-12, 2009 | 222 | 2009 |
| Adaptive heterogeneous scheduling for integrated GPUs R Kaleem, R Barik, T Shpeisman, BT Lewis, C Hu, K Pingali Proceedings of the 23rd international conference on Parallel architectures …, 2014 | 167 | 2014 |
| Programmable coarse grained and sparse matrix compute hardware with advanced scheduling E Nurvitadhi, B Vembu, NCG Von Borries, R Barik, TH Lin, K Sinha, ... US Patent 10,186,011, 2019 | 164 | 2019 |
| May-happen-in-parallel analysis of X10 programs S Agarwal, R Barik, V Sarkar, RK Shyamasundar Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of …, 2007 | 128 | 2007 |
| Compute optimizations for neural networks K Nealis, A Yao, X Chen, E Ould-Ahmed-Vall, SS Baghsorkhi, ... US Patent 10,410,098, 2019 | 122 | 2019 |
| Machine learning sparse computation mechanism E Nurvitadhi, B Vembu, TH Lin, K Sinha, R Barik, NCG Von Borries US Patent 10,346,944, 2019 | 100 | 2019 |
| Specialized fixed function hardware for efficient convolution R Barik, E Ould-Ahmed-Vall, X Chen, D Srivastava, A Yao, K Nealis, ... US Patent 10,824,938, 2020 | 97 | 2020 |
| iACT: A software-hardware framework for understanding the scope of approximate computing AK Mishra, R Barik, S Paul Workshop on Approximate Computing Across the System Stack (WACAS) 52, 2014 | 96 | 2014 |
| The habanero multicore software research project R Barik, Z Budimlic, V Cave, S Chatterjee, Y Guo, D Peixotto, R Raman, ... Proceedings of the 24th ACM SIGPLAN conference companion on Object oriented …, 2009 | 96 | 2009 |
| Electronic coupons decision support and recommendation system R Barik, PA Mittal US Patent 8,452,652, 2013 | 85 | 2013 |
| Latte: A language, compiler, and runtime for elegant and efficient deep neural networks L Truong, R Barik, E Totoni, H Liu, C Markley, A Fox, T Shpeisman Proceedings of the 37th ACM SIGPLAN Conference on Programming Language …, 2016 | 79 | 2016 |
| Instructions and logic to perform floating-point and integer operations for machine learning H Kaul, MA Anders, SK Mathew, A Yao, J Ray, PT Tang, MS Strickland, ... US Patent 10,353,706, 2019 | 75 | 2019 |
| Automating wavefront parallelization for sparse matrix computations A Venkat, MS Mohammadi, J Park, H Rong, R Barik, MM Strout, M Hall SC'16: Proceedings of the International Conference for High Performance …, 2016 | 75 | 2016 |
| Efficient computation of may-happen-in-parallel information for concurrent java programs R Barik International Workshop on Languages and Compilers for Parallel Computing …, 2005 | 72 | 2005 |
| Deadlock-free scheduling of X10 computations with bounded resources S Agarwal, R Barik, D Bonachea, V Sarkar, RK Shyamasundar, K Yelick Proceedings of the nineteenth annual ACM symposium on Parallel algorithms …, 2007 | 71 | 2007 |
| Efficient selection of vector instructions using dynamic programming R Barik, J Zhao, V Sarkar 2010 43rd Annual IEEE/ACM International Symposium on Microarchitecture, 201-212, 2010 | 67 | 2010 |
| Instructions and logic to perform floating-point and integer operations for machine learning H Kaul, MA Anders, SK Mathew, A Yao, J Ray, PT Tang, MS Strickland, ... US Patent 10,474,458, 2019 | 64 | 2019 |
| Extended linear scan: An alternate foundation for global register allocation V Sarkar, R Barik International Conference on Compiler Construction, 141-155, 2007 | 64 | 2007 |
| A black-box approach to energy-aware scheduling on integrated CPU-GPU systems R Barik, N Farooqui, BT Lewis, C Hu, T Shpeisman Proceedings of the 2016 International Symposium on Code Generation and …, 2016 | 60 | 2016 |
Vivek SarkarSchool of Computer Science, Georgia Institute of TechnologyVerified email at gatech.edu
