Max Grossman

Publication Activity (10 Years)

Years Active: 2009-2021
Publications (10 Years): 23

Top Topics

Speculative Execution

Heterogeneous Platforms

Top Venues

IPDPS Workshops

Publications

Max Grossman, Steve Poole, Howard Pritchard, Vivek Sarkar
SHMEM-ML: Leveraging OpenSHMEM and Apache Arrow for Scalable, Composable Machine Learning. OpenSHMEM (2021)
Sri Raj Paul, Akihiro Hayashi, Matthew Whitlock, Seonmyeong Bak, Keita Teranishi, Jackson R. Mayo, Max Grossman, Vivek Sarkar
Integrating Inter-Node Communication with a Resilient Asynchronous Many-Task Runtime System. ExaMPI@SC (2020)
Suzanne Parete-Koon, Peter F. Peterson, Garrett E. Granroth, Wenduo Zhou, Pravallika Devineni, Nouamane Laanait, Junqi Yin, Albina Y. Borisevich, Ketan Maheshwari, Melissa R. Allen-Dumas, Srinath Ravulaparthy, Kuldeep R. Kurte, Jibo Sanyal, Anne Berres, Olivera Kotevska, Folami Alamudun, Keith Gray, Max Grossman, Anar Yusifov, Ioana Danciu, Gil Alterovitz, Dasha Herrmannova
Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics. SMC (2020)
Max Grossman, Howard Pritchard, Steve Poole, Vivek Sarkar
HOOVER: Leveraging OpenSHMEM for High Performance, Flexible Streaming Graph Applications. PAW-ATM@SC (2020)
Cody Hao Yu, Peng Wei, Max Grossman, Peng Zhang, Vivek Sarkar, Jason Cong
S2FA: an accelerator automation framework for heterogeneous computing in datacenters. DAC (2018)
Sri Raj Paul, Kun Chen, Akihiro Hayashi, Max Grossman, Vivek Sarkar, Jason DeVinney, Bill Carlson
A Unified Runtime for PGAS and Event-Driven Programming. ESPM2@SC (2018)
Vivek Sarkar, Max Grossman, Zoran Budimlic, Shams Imam
A One Year Retrospective on a MOOC in Parallel, Concurrent, and Distributed Programming in Java. EduHPC@SC (2018)
Samuel Matzek, Max Grossman, Minsik Cho, Anar Yusifov, Bryant Nelson, Amit Juneja
Data-parallel distributed training of very large models beyond GPU capacity. CoRR (2018)
Max Grossman, Howard Pritchard, Tony Curtis, Vivek Sarkar
HOOVER: Distributed, Flexible, and Scalable Streaming Graph Processing on OpenSHMEM. OpenSHMEM (2018)
Max Grossman, Joseph Doyle, James Dinan, Howard Pritchard, Kayla Seager, Vivek Sarkar
Implementation and Evaluation of OpenSHMEM Contexts Using OFI Libfabric. OpenSHMEM (2017)
Tiago Cogumbreiro, Rishi Surendran, Francisco Martins, Vivek Sarkar, Vasco T. Vasconcelos, Max Grossman
Deadlock avoidance in parallel programs with futures: why parallel tasks should not wait for strangers. Proc. ACM Program. Lang. 1 (OOPSLA) (2017)
Max Grossman, Vivek Kumar, Nick Vrvilo, Zoran Budimlic, Vivek Sarkar
A Pluggable Framework for Composable HPC Scheduling Libraries. IPDPS Workshops (2017)
Akihiro Hayashi, Sri Raj Paul, Max Grossman, Jun Shirako, Vivek Sarkar
Chapel-on-X: Exploring Tasking Runtimes for PGAS Languages. ESPM2@SC (2017)
Vivek Sarkar, Max Grossman, Zoran Budimlic, Shams Imam
Preparing an Online Java Parallel Computing Course. IPDPS Workshops (2017)
Max Grossman, Maha Aziz, Heng Chi, Anant Tibrewal, Shams Imam, Vivek Sarkar
Pedagogy and tools for teaching parallel computing at the sophomore undergraduate level. J. Parallel Distributed Comput. 105 (2017)
Max Grossman, Howard Pritchard, Zoran Budimlic, Vivek Sarkar
Graph500 on OpenSHMEM: Using A Practical Survey of Past Work to Motivate Novel Algorithmic Developments. PAW@SC (2017)
Max Grossman, Christopher Thiele, Mauricio Araya-Polo, Florian Frank, Faruk O. Alpak, Vivek Sarkar
A survey of sparse matrix-vector multiplication performance on large matrices. CoRR (2016)
Yuhan Peng, Max Grossman, Vivek Sarkar
Static Cost Estimation for Data Layout Selection on GPUs. PMBS@SC (2016)
Max Grossman, Vivek Sarkar
SWAT: A Programmable, In-Memory, Distributed, High-Performance Computing Platform. HPDC (2016)
Max Grossman, Maurício Breternitz Jr., Vivek Sarkar
HadoopCL2: Motivating the Design of a Distributed, Heterogeneous Programming System With Machine-Learning Applications. IEEE Trans. Parallel Distributed Syst. 27 (3) (2016)
Max Grossman, Vivek Sarkar
Efficient Checkpointing of Multi-threaded Applications as a Tool for Debugging, Performance Tuning, and Resiliency. IPDPS (2016)
Max Grossman, Vivek Kumar, Zoran Budimlic, Vivek Sarkar
Integrating Asynchronous Task Parallelism with OpenSHMEM. OpenSHMEM (2016)
Max Grossman, Jun Shirako, Vivek Sarkar
OpenMP as a High-Level Specification Language for Parallelism - And its use in Evaluating Parallel Programming Systems. IWOMP (2016)
Max Grossman, Shams Imam, Vivek Sarkar
HJ-OpenCL: Reducing the Gap Between the JVM and Accelerators. PPPJ (2015)
Maha Aziz, Heng Chi, Anant Tibrewal, Max Grossman, Vivek Sarkar
Auto-grading for parallel programs. EduHPC@SC (2015)
Sanjay Chatterjee, Sagnak Tasirlar, Zoran Budimlic, Vincent Cavé, Milind Chabbi, Max Grossman, Vivek Sarkar, Yonghong Yan
Integrating Asynchronous Task Parallelism with MPI. IPDPS (2013)
Max Grossman, Maurício Breternitz Jr., Vivek Sarkar
HadoopCL: MapReduce on Distributed Heterogeneous Platforms through Seamless Integration of Hadoop and OpenCL. IPDPS Workshops (2013)
Deepak Majeti, Rajkishore Barik, Jisheng Zhao, Max Grossman, Vivek Sarkar
Compiler-Driven Data Layout Transformation for Heterogeneous Platforms. Euro-Par Workshops (2013)
Akihiro Hayashi, Max Grossman, Jisheng Zhao, Jun Shirako, Vivek Sarkar
Accelerating Habanero-Java programs with OpenCL generation. PPPJ (2013)
Akihiro Hayashi, Max Grossman, Jisheng Zhao, Jun Shirako, Vivek Sarkar
Speculative Execution of Parallel Programs with Precise Exception Semantics on GPUs. LCPC (2013)
Sanjay Chatterjee, Max Grossman, Alina Simion Sbîrlea, Vivek Sarkar
Dynamic Task Parallelism with a GPU Work-Stealing Runtime System. LCPC (2011)
Max Grossman, Alina Simion Sbîrlea, Zoran Budimlic, Vivek Sarkar
CnC-CUDA: Declarative Programming for GPUs. LCPC (2010)
Yonghong Yan, Max Grossman, Vivek Sarkar
JCUDA: A Programmer-Friendly Interface for Accelerating Java Programs with CUDA. Euro-Par (2009)