Rajkishore Barik

Publication Activity (10 Years)

Years Active: 2002-2020
Publications (10 Years): 11

Top Topics

Traditional Chinese Medicine

Parallel Execution

Convolutional Neural Networks

Heterogeneous Sources

Top Venues

Publications

Murali Krishna Ramanathan, Lazaro Clapp, Rajkishore Barik, Manu Sridharan
Piranha: reducing feature flag debt at uber. ICSE (SEIP) (2020)
Rajkishore Barik, Manu Sridharan, Murali Krishna Ramanathan, Milind Chabbi
Optimization of swift protocols. Proc. ACM Program. Lang. 3 (OOPSLA) (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)
Ankush Mandal, Rajkishore Barik, Vivek Sarkar
Using Dynamic Compilation to Achieve Ninja Performance for CNN Training on Many-Core Processors. Euro-Par (2018)
Naila Farooqui, Indrajit Roy, Yuan Chen, Vanish Talwar, Rajkishore Barik, Brian T. Lewis, Tatiana Shpeisman, Karsten Schwan
Accelerating Data Analytics on Integrated GPU Platforms via Runtime Specialization. Int. J. Parallel Program. 46 (2) (2018)
Rajkishore Barik, Tatiana Shpeisman, Hongbo Rong, Chunling Hu, Victor W. Lee, Todd A. Anderson, Greg Henry, Hai Liu, Youfeng Wu, Paul Petersen, Geoff Lowney
Mozart : Efficient Composition of Library Functions for Heterogeneous Execution. LCPC (2017)
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)
Naila Farooqui, Rajkishore Barik, Brian T. Lewis, Tatiana Shpeisman, Karsten Schwan
Affinity-aware work-stealing for integrated CPU-GPU processors. PPOPP (2016)
Leonard Truong, Rajkishore Barik, Ehsan Totoni, Hai Liu, Chick Markley, Armando Fox, Tatiana Shpeisman
Latte: a language, compiler, and runtime for elegant and efficient deep neural networks. PLDI (2016)
Deepak Majeti, Kuldeep S. Meel, Rajkishore Barik, Vivek Sarkar
Automatic data layout generation and kernel mapping for CPU+GPU architectures. CC (2016)
Rajkishore Barik, Naila Farooqui, Brian T. Lewis, Chunling Hu, Tatiana Shpeisman
A black-box approach to energy-aware scheduling on integrated CPU-GPU systems. CGO (2016)
Deepak Majeti, Kuldeep S. Meel, Rajkishore Barik, Vivek Sarkar
ADHA: Automatic Data layout framework for Heterogeneous Architectures. CoRR (2014)
Rajkishore Barik, Rashid Kaleem, Deepak Majeti, Brian T. Lewis, Tatiana Shpeisman, Chunling Hu, Yang Ni, Ali-Reza Adl-Tabatabai
Efficient Mapping of Irregular C++ Applications to Integrated GPUs. CGO (2014)
Hai Liu, Laurence E. Day, Neal Glew, Todd A. Anderson, Rajkishore Barik
Native offload of Haskell repa programs to integrated GPUs. FHPC@ICFP (2014)
Deepak Majeti, Kuldeep S. Meel, Rajkishore Barik, Vivek Sarkar
ADHA: automatic data layout framework for heterogeneous architectures. PACT (2014)
Rishi Surendran, Rajkishore Barik, Jisheng Zhao, Vivek Sarkar
Inter-iteration Scalar Replacement Using Array SSA Form. CC (2014)
Rashid Kaleem, Rajkishore Barik, Tatiana Shpeisman, Brian T. Lewis, Chunling Hu, Keshav Pingali
Adaptive heterogeneous scheduling for integrated GPUs. PACT (2014)
Deepak Majeti, Rajkishore Barik, Jisheng Zhao, Max Grossman, Vivek Sarkar
Compiler-Driven Data Layout Transformation for Heterogeneous Platforms. Euro-Par Workshops (2013)
Rajkishore Barik, Jisheng Zhao, Vivek Sarkar
Interprocedural strength reduction of critical sections in explicitly-parallel programs. PACT (2013)
V. Krishna Nandivada, Rajkishore Barik
Improved bitwidth-aware variable packing. ACM Trans. Archit. Code Optim. 10 (3) (2013)
Rajkishore Barik, Jisheng Zhao, Vivek Sarkar
A decoupled non-SSA global register allocation using bipartite liveness graphs. ACM Trans. Archit. Code Optim. 10 (4) (2013)
Rajkishore Barik, Jisheng Zhao, David Grove, Igor Peshansky, Zoran Budimlic, Vivek Sarkar
Communication Optimizations for Distributed-Memory X10 Programs. IPDPS (2011)
Rajkishore Barik, Jisheng Zhao, Vivek Sarkar
Efficient Selection of Vector Instructions Using Dynamic Programming. MICRO (2010)
Rajkishore Barik, Jisheng Zhao, Vivek Sarkar
Automatic vector instruction selection for dynamic compilation. PACT (2010)
Rajkishore Barik, Zoran Budimlic, Vincent Cavé, Sanjay Chatterjee, Yi Guo, David M. Peixotto, Raghavan Raman, Jun Shirako, Sagnak Tasirlar, Yonghong Yan, Yisheng Zhao, Vivek Sarkar
The habanero multicore software research project. OOPSLA Companion (2009)
Rajkishore Barik, Vivek Sarkar
Interprocedural Load Elimination for Dynamic Optimization of Parallel Programs. PACT (2009)
Yi Guo, Rajkishore Barik, Raghavan Raman, Vivek Sarkar
Work-first and help-first scheduling policies for async-finish task parallelism. IPDPS (2009)
Shivali Agarwal, Rajkishore Barik, V. Krishna Nandivada, R. K. Shyamasundar, Pradeep Varma
Static Detection of Place Locality and Elimination of Runtime Checks. APLAS (2008)
Shivali Agarwal, Rajkishore Barik, R. K. Shyamasundar
A Static Characterization of Affinity in a Distributed Program. HPCC (2008)
Vivek Sarkar, Rajkishore Barik
Extended Linear Scan: An Alternate Foundation for Global Register Allocation. CC (2007)
Shivali Agarwal, Rajkishore Barik, Dan Bonachea, Vivek Sarkar, R. K. Shyamasundar, Katherine A. Yelick
Deadlock-free scheduling of X10 computations with bounded resources. SPAA (2007)
Shivali Agarwal, Rajkishore Barik, Vivek Sarkar, R. K. Shyamasundar
May-happen-in-parallel analysis of X10 programs. PPOPP (2007)
Rajkishore Barik, Vivek Sarkar
Enhanced Bitwidth-Aware Register Allocation. CC (2006)
Rajkishore Barik, Christian Grothoff, Rahul Gupta, Vinayaka Pandit, Raghavendra Udupa
Optimal Bitwise Register Allocation Using Integer Linear Programming. LCPC (2006)
Rajkishore Barik
Efficient Computation of May-Happen-in-Parallel Information for Concurrent Java Programs. LCPC (2005)
Manish P. Kurhekar, Rajkishore Barik, Umesh Kumar
An Efficient Algorithm to Compute Delay Set in SPMD Programs. HiPC (2003)
Narasimha R. Adiga, George Almási, George S. Almási, Yariv Aridor, Rajkishore Barik, Daniel K. Beece, Ralph Bellofatto, Gyan Bhanot, Randy Bickford, Matthias A. Blumrich, Arthur A. Bright, José R. Brunheroto, Calin Cascaval, José G. Castaños, Waiman Chan, Luis Ceze, Paul Coteus, Siddhartha Chatterjee, Dong Chen, George L.-T. Chiu, Thomas M. Cipolla, Paul Crumley, K. M. Desai, Alina Deutsch, Tamar Domany, Marc Boris Dombrowa, Wilm E. Donath, Maria Eleftheriou, C. Christopher Erway, J. Esch, Blake G. Fitch, Joseph Gagliano, Alan Gara, Rahul Garg, Robert S. Germain, Mark Giampapa, Balaji Gopalsamy, John A. Gunnels, Manish Gupta, Fred G. Gustavson, Shawn Hall, Ruud A. Haring, David F. Heidel, Philip Heidelberger, Lorraine Herger, Dirk Hoenicke, R. D. Jackson, T. Jamal-Eddine, Gerard V. Kopcsay, Elie Krevat, Manish P. Kurhekar, Alphonso P. Lanzetta, Derek Lieber, L. K. Liu, M. Lu, Mark P. Mendell, A. Misra, Yosef Moatti, Lawrence S. Mok, José E. Moreira, Ben J. Nathanson, Matthew Newton, Martin Ohmacht, Adam J. Oliner, Vinayaka Pandit, R. B. Pudota, Rick A. Rand, Richard D. Regan, Bradley Rubin, Albert E. Ruehli, Silvius Vasile Rus, Ramendra K. Sahoo, Alda Sanomiya, Eugen Schenfeld, M. Sharma, Edi Shmueli, Sarabjeet Singh, Peilin Song, Vijay Srinivasan, Burkhard D. Steinmacher-Burow, Karin Strauss, Christopher W. Surovic, Richard A. Swetz, Todd Takken, R. Brett Tremaine, Mickey Tsao, Arun R. Umamaheshwaran, P. Verma, Pavlos Vranas, T. J. Christopher Ward, Michael E. Wazlowski, W. Barrett, C. Engel, B. Drehmel, B. Hilgart, D. Hill, F. Kasemkhani, David J. Krolak, Chun-Tao Li, Thomas A. Liebsch, James A. Marcella, A. Muff, A. Okomo, M. Rouse, A. Schram, M. Tubbs, G. Ulsh, Charles D. Wait, J. Wittrup, Myung Bae, Kenneth A. Dockser, Lynn Kissel, Mark K. Seager, Jeffrey S. Vetter, K. Yates
An overview of the BlueGene/L Supercomputer. SC (2002)