Max Grossman
Title
Cited by
Cited by
Year
Professional CUDA c programming
J Cheng, M Grossman, T McKercher
John Wiley & Sons, 2014
4052014
JCUDA: A programmer-friendly interface for accelerating Java programs with CUDA
Y Yan, M Grossman, V Sarkar
European Conference on Parallel Processing, 887-899, 2009
2112009
Integrating asynchronous task parallelism with MPI
S Chatterjee, S Tasirlar, Z Budimlic, V Cave, M Chabbi, M Grossman, ...
2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013
902013
Hadoopcl: Mapreduce on distributed heterogeneous platforms through seamless integration of hadoop and opencl
M Grossman, M Breternitz, V Sarkar
2013 IEEE International Symposium on Parallel & Distributed Processing …, 2013
712013
Dynamic task parallelism with a GPU work-stealing runtime system
S Chatterjee, M Grossman, A Sbīrlea, V Sarkar
International Workshop on Languages and Compilers for Parallel Computing …, 2011
362011
CnC-CUDA: declarative programming for GPUs
M Grossman, AS Sbīrlea, Z Budimlić, V Sarkar
International Workshop on Languages and Compilers for Parallel Computing …, 2010
362010
Compiler-driven data layout transformation for heterogeneous platforms
D Majeti, R Barik, J Zhao, M Grossman, V Sarkar
European Conference on Parallel Processing, 188-197, 2013
282013
Accelerating habanero-java programs with opencl generation
A Hayashi, M Grossman, J Zhao, J Shirako, V Sarkar
Proceedings of the 2013 International Conference on Principles and Practices …, 2013
262013
Pedagogy and tools for teaching parallel computing at the sophomore undergraduate level
M Grossman, M Aziz, H Chi, A Tibrewal, S Imam, V Sarkar
Journal of Parallel and Distributed Computing 105, 18-30, 2017
212017
Hadoopcl2: Motivating the design of a distributed, heterogeneous programming system with machine-learning applications
M Grossman, M Breternitz, V Sarkar
IEEE Transactions on Parallel and Distributed Systems 27 (3), 762-775, 2015
182015
Swat: A programmable, in-memory, distributed, high-performance computing platform
M Grossman, V Sarkar
Proceedings of the 25th ACM International Symposium on High-Performance …, 2016
172016
A survey of sparse matrix-vector multiplication performance on large matrices
M Grossman, C Thiele, M Araya-Polo, F Frank, FO Alpak, V Sarkar
arXiv preprint arXiv:1608.00636, 2016
152016
S2FA: an accelerator automation framework for heterogeneous computing in datacenters
CH Yu, P Wei, M Grossman, P Zhang, V Sarker, J Cong
2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), 1-6, 2018
122018
Implementation and evaluation of OpenSHMEM contexts using OFI libfabric
M Grossman, J Doyle, J Dinan, H Pritchard, K Seager, V Sarkar
Workshop on OpenSHMEM and Related Technologies, 19-34, 2017
122017
Deadlock avoidance in parallel programs with futures: Why parallel tasks should not wait for strangers
T Cogumbreiro, R Surendran, F Martins, V Sarkar, VT Vasconcelos, ...
Proceedings of the ACM on Programming Languages 1 (OOPSLA), 1-26, 2017
102017
Integrating asynchronous task parallelism with openshmem
M Grossman, V Kumar, Z Budimlić, V Sarkar
Workshop on OpenSHMEM and Related Technologies, 3-17, 2016
102016
A pluggable framework for composable HPC scheduling libraries
M Grossman, V Kumar, N Vrvilo, Z Budimlic, V Sarkar
2017 IEEE International Parallel and Distributed Processing Symposium …, 2017
92017
Speculative execution of parallel programs with precise exception semantics on gpus
A Hayashi, M Grossman, J Zhao, J Shirako, V Sarkar
International Workshop on Languages and Compilers for Parallel Computing …, 2013
92013
Graph500 on OpenSHMEM: using a practical survey of past work to motivate novel algorithmic developments
M Grossman, H Pritchard, Z Budimlić, V Sarkar
Proceedings of the Second Annual PGAS Applications Workshop, 1-8, 2017
82017
Auto-grading for parallel programs
M Aziz, H Chi, A Tibrewal, M Grossman, V Sarkar
Proceedings of the Workshop on Education for High-Performance Computing, 1-8, 2015
82015
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