2015
Efficient Static and Dynamic Memory Management Techniques for Multi-GPU System. Max Grossman, Mauricio Araya-Polo. Workshop on Runtime Systems for Extreme Scale Programming Models and Architectures. November 2015.
Distributed, Heterogeneous Scheduling Techniques Motivated by Production Geophysical Applications. Max Grossman, Mauricio Araya-Polo. Workshop on Many-Task Computing on Clouds, Grids, and Supercomputer. November 2015.
Concurrent Collections. Kathleen Knobe, Michael G. Burke, and Frank Schlimbach. Programming Models for Parallel Computing, Chapter 11, pages 247-280. Pavan Balaj, editor. The MIT Press, November 2015.
Extending Polyhedral Model for Analysis and Transformations of OpenMP Programs. Prasanth Chatarasi, and Vivek Sarkar. PACT ACM Student Research Competition, October 2015. [accepted as poster with accompanying extended abstract][poster].
Race Detection in Two Dimensions. Dimitar Dimitrov, Martin Vechev, Vivek Sarkar. 27th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), June 2015.
Cooperative Execution of Parallel Tasks with Synchronization Constraints. Shams Imam. Ph.D. Thesis, May 2015.
Portable Programming Models for Heterogeneous Platforms. Deepak Majeti. Ph.D. Thesis, May 2015.
2014
DFGR: an Intermediate Graph Representation for Macro-Dataflow Programs. Alina Sbirlea, Louis-Noel Pouchet, Vivek Sarkar. Fourth Workshop on Dataflow Execution Models for Extreme Scale Computing - in conjunction with PACT 2014 (DFM 2014)
2013
2012
Integrating Task Parallelism with Actors. Shams Imam, Vivek Sarkar. Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), October 2012. [paper, slides]
Rice ROSE Compositional Analysis and Transformation Framework (R2CAT). Jisheng Zhao, Micheal Burke, Vivek Sarkar. LLNL Technical Report 590233, October 2012.
Determinacy and Repeatability of Parallel Program Schemata. Jack B. Dennis, Guang R. Gao, Vivek Sarkar. Workshop on Data-Flow Execution Models for Extreme Scale Computing (DFM 2012).
2011
2010
2009
2008
2007
Acknowledgment
This material is based upon work supported by the National Science Foundation under Grants No. 0833166, 0938018, 0926127, 0964520, 1302570. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).