The Stata Center, Room 32-G785
32 Vassar Street
Cambridge, MA 02139
Phone: (617) 253-8116
Email: kunal AT theory DOT csail DOT mit DOT edu
I am a graduate student at Computer Science and Artificial Intelligence Laboratory in Massachusetts Institute of Technology. I work with Professor Charles Leiserson in the Supercomputing Technologies Group. I am interested in parallel computing, specifically adaptive scheduling, research allocation and transactional memory.
Adaptive Scheduling with Parallelism Feedback
by Kunal Agrawal, Yuxiong He, Wen Jing Hsu and Charles E. Leiserson
In the Proceedings of the ACM Symposium on Principles and
Practices of Parallel Programming (PPoPP) 2006
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Adaptive Work-Stealing with Parallelism Feedback
by Kunal Agrawal, Yuxiong He, and Charles E. Leiserson
In the Proceedings of the ACM Symposium on Principles and
Practices of Parallel Programming (PPoPP) 2007
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An empirical Evalutaion of Work-Stealing with Parallelism Feedback
by Kunal Agrawal, Yuxiong He, and Charles E. Leiserson
In the Proceedings of the International Conference on
Distributed Computing Systems (ICDCS) 2007
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Memory Models for Open-Nested Transactions
by Kunal Agrawal, Charles E. Leiserson, and Jim Sukha
In the Proceedings of the ACM SIGPLAN Workshop on Memory Systems
Performance and Correctness
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The Worst Page-Replacement Strategy
by Kunal Agrawal,
Michael Bender, and Jeremy Fineman
In the Proceedings of the
International Conference on Fun with Algorithms 2007
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download the paper:
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Nested Parallelism in Transactional Memory
by Kunal Agrawal, Jeremy Fineman, and Jim Sukha
In the Proceedings of the ACM Symposium on Principles and
Practices of Parallel Programming (PPoPP) 2008
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Safe Open-Nested Transactions Using Ownership
by Kunal Agrawal, Angelina I-Ting Lee, and Jim Sukha
Submitted for Publication
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