Max Grossman
Cited by
Cited by
Professional CUDA c programming
J Cheng, M Grossman, T McKercher
John Wiley & Sons, 2014
JCUDA: A programmer-friendly interface for accelerating Java programs with CUDA
Y Yan, M Grossman, V Sarkar
Euro-Par 2009 Parallel Processing: 15th International Euro-Par Conference†…, 2009
Integrating asynchronous task parallelism with MPI
S Chatterjee, S Tasırlar, Z Budimlic, V Cavť, M Chabbi, M Grossman, ...
2013 IEEE 27th International Symposium on Parallel and Distributed†…, 2013
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
Dynamic task parallelism with a GPU work-stealing runtime system
S Chatterjee, M Grossman, A SbÓrlea, V Sarkar
Languages and Compilers for Parallel Computing: 24th International Workshop†…, 2013
S2FA: An accelerator automation framework for heterogeneous computing in datacenters
CH Yu, P Wei, M Grossman, P Zhang, V Sarker, J Cong
Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018
CnC-CUDA: declarative programming for GPUs
M Grossman, A Simion SbÓrlea, Z Budimlić, V Sarkar
International Workshop on Languages and Compilers for Parallel Computing†…, 2010
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
Compiler-driven data layout transformation for heterogeneous platforms
D Majeti, R Barik, J Zhao, M Grossman, V Sarkar
Euro-Par 2013: Parallel Processing Workshops: BigDataCloud, DIHC, FedICI†…, 2014
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
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
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
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
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
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
Integrating asynchronous task parallelism with OpenSHMEM
M Grossman, V Kumar, Z Budimlić, V Sarkar
OpenSHMEM and Related Technologies. Enhancing OpenSHMEM for Hybrid†…, 2016
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
Implementation and evaluation of OpenSHMEM contexts using OFI libfabric
M Grossman, J Doyle, J Dinan, H Pritchard, K Seager, V Sarkar
OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence†…, 2018
The Texas flood registry: a flexible tool for environmental and public health practitioners and researchers
ML Miranda, R Callender, JM Canales, E Craft, KB Ensor, M Grossman, ...
Journal of Exposure Science & Environmental Epidemiology 31 (5), 823-831, 2021
Hj-opencl: Reducing the gap between the jvm and accelerators
M Grossman, S Imam, V Sarkar
Proceedings of the principles and practices of programming on the java†…, 2015
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