Max Grossman

According to our database, Max Grossman authored at least 33 papers between 2009 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

SHMEM-ML: Leveraging OpenSHMEM and Apache Arrow for Scalable, Composable Machine Learning.

Max Grossman, Steve Poole, Howard Pritchard, Vivek Sarkar

Proceedings of the OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Exascale and Smart Networks, 2021

2020

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.

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

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Integrating Inter-Node Communication with a Resilient Asynchronous Many-Task Runtime System.

Sri Raj Paul, Akihiro Hayashi, Matthew Whitlock, Seonmyeong Bak, Keita Teranishi, Jackson R. Mayo, Max Grossman, Vivek Sarkar

Proceedings of the Workshop on Exascale MPI, 2020

HOOVER: Leveraging OpenSHMEM for High Performance, Flexible Streaming Graph Applications.

Max Grossman, Howard Pritchard, Steve Poole, Vivek Sarkar

Proceedings of the 3rd IEEE/ACM Annual Parallel Applications Workshop: Alternatives To MPI+X, 2020

2018

Data-parallel distributed training of very large models beyond GPU capacity.

Samuel Matzek, Max Grossman, Minsik Cho, Anar Yusifov, Bryant Nelson, Amit Juneja

CoRR, 2018

A One Year Retrospective on a MOOC in Parallel, Concurrent, and Distributed Programming in Java.

Vivek Sarkar, Max Grossman, Zoran Budimlic, Shams Imam

Proceedings of the 2018 IEEE/ACM Workshop on Education for High-Performance Computing, 2018

A Unified Runtime for PGAS and Event-Driven Programming.

Sri Raj Paul, Kun Chen, Akihiro Hayashi, Max Grossman, Vivek Sarkar, Jason DeVinney, Bill Carlson

Proceedings of the 4th International Workshop on Extreme Scale Programming Models and Middleware, 2018

HOOVER: Distributed, Flexible, and Scalable Streaming Graph Processing on OpenSHMEM.

Max Grossman, Howard Pritchard, Tony Curtis, Vivek Sarkar

Proceedings of the OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Extreme Heterogeneity, 2018

S2FA: an accelerator automation framework for heterogeneous computing in datacenters.

Cody Hao Yu, Peng Wei, Max Grossman, Peng Zhang, Vivek Sarkar, Jason Cong

Proceedings of the 55th Annual Design Automation Conference, 2018

2017

Deadlock avoidance in parallel programs with futures: why parallel tasks should not wait for strangers.

Tiago Cogumbreiro, Rishi Surendran, Francisco Martins, Vivek Sarkar, Vasco T. Vasconcelos, Max Grossman

Proc. ACM Program. Lang., 2017

Pedagogy and tools for teaching parallel computing at the sophomore undergraduate level.

Max Grossman, Maha Aziz, Heng Chi, Anant Tibrewal, Shams Imam, Vivek Sarkar

J. Parallel Distributed Comput., 2017

Chapel-on-X: Exploring Tasking Runtimes for PGAS Languages.

Akihiro Hayashi, Sri Raj Paul, Max Grossman, Jun Shirako, Vivek Sarkar

Proceedings of the Third International Workshop on Extreme Scale Programming Models and Middleware, 2017

Graph500 on OpenSHMEM: Using A Practical Survey of Past Work to Motivate Novel Algorithmic Developments.

Max Grossman, Howard Pritchard, Zoran Budimlic, Vivek Sarkar

Proceedings of PAW@SC 2017: Second Annual PGAS Applications Workshop, 2017

Implementation and Evaluation of OpenSHMEM Contexts Using OFI Libfabric.

Max Grossman, Joseph Doyle, James Dinan, Howard Pritchard, Kayla Seager, Vivek Sarkar

Proceedings of the OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence, 2017

Preparing an Online Java Parallel Computing Course.

Vivek Sarkar, Max Grossman, Zoran Budimlic, Shams Imam

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

A Pluggable Framework for Composable HPC Scheduling Libraries.

Max Grossman, Vivek Kumar, Nick Vrvilo, Zoran Budimlic, Vivek Sarkar

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016

HadoopCL2: Motivating the Design of a Distributed, Heterogeneous Programming System With Machine-Learning Applications.

Max Grossman, Maurício Breternitz Jr., Vivek Sarkar

IEEE Trans. Parallel Distributed Syst., 2016

A survey of sparse matrix-vector multiplication performance on large matrices.

Max Grossman, Christopher Thiele, Mauricio Araya-Polo, Florian Frank, Faruk O. Alpak, Vivek Sarkar

CoRR, 2016

Static Cost Estimation for Data Layout Selection on GPUs.

Yuhan Peng, Max Grossman, Vivek Sarkar

Proceedings of the 7th International Workshop on Performance Modeling, 2016

Integrating Asynchronous Task Parallelism with OpenSHMEM.

Max Grossman, Vivek Kumar, Zoran Budimlic, Vivek Sarkar

Proceedings of the OpenSHMEM and Related Technologies. Enhancing OpenSHMEM for Hybrid Environments, 2016

OpenMP as a High-Level Specification Language for Parallelism - And its use in Evaluating Parallel Programming Systems.

Max Grossman, Jun Shirako, Vivek Sarkar

Proceedings of the OpenMP: Memory, Devices, and Tasks, 2016

Efficient Checkpointing of Multi-threaded Applications as a Tool for Debugging, Performance Tuning, and Resiliency.

Max Grossman, Vivek Sarkar

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

SWAT: A Programmable, In-Memory, Distributed, High-Performance Computing Platform.

Max Grossman, Vivek Sarkar

Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016

2015

Auto-grading for parallel programs.

Maha Aziz, Heng Chi, Anant Tibrewal, Max Grossman, Vivek Sarkar

Proceedings of the Workshop on Education for High-Performance Computing, 2015

HJ-OpenCL: Reducing the Gap Between the JVM and Accelerators.

Max Grossman, Shams Imam, Vivek Sarkar

Proceedings of the Principles and Practices of Programming on The Java Platform, 2015

2013

Accelerating Habanero-Java programs with OpenCL generation.

Akihiro Hayashi, Max Grossman, Jisheng Zhao, Jun Shirako, Vivek Sarkar

Proceedings of the 2013 International Conference on Principles and Practices of Programming on the Java Platform: Virtual Machines, 2013

Speculative Execution of Parallel Programs with Precise Exception Semantics on GPUs.

Akihiro Hayashi, Max Grossman, Jisheng Zhao, Jun Shirako, Vivek Sarkar

Proceedings of the Languages and Compilers for Parallel Computing, 2013

HadoopCL: MapReduce on Distributed Heterogeneous Platforms through Seamless Integration of Hadoop and OpenCL.

Max Grossman, Maurício Breternitz Jr., Vivek Sarkar

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Integrating Asynchronous Task Parallelism with MPI.

Sanjay Chatterjee, Sagnak Tasirlar, Zoran Budimlic, Vincent Cavé, Milind Chabbi, Max Grossman, Vivek Sarkar, Yonghong Yan

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

Compiler-Driven Data Layout Transformation for Heterogeneous Platforms.

Deepak Majeti, Rajkishore Barik, Jisheng Zhao, Max Grossman, Vivek Sarkar

Proceedings of the Euro-Par 2013: Parallel Processing Workshops, 2013

2011

Dynamic Task Parallelism with a GPU Work-Stealing Runtime System.

Sanjay Chatterjee, Max Grossman, Alina Simion Sbîrlea, Vivek Sarkar

Proceedings of the Languages and Compilers for Parallel Computing, 2011

2010

CnC-CUDA: Declarative Programming for GPUs.

Max Grossman, Alina Simion Sbîrlea, Zoran Budimlic, Vivek Sarkar

Proceedings of the Languages and Compilers for Parallel Computing, 2010

2009

JCUDA: A Programmer-Friendly Interface for Accelerating Java Programs with CUDA.

Yonghong Yan, Max Grossman, Vivek Sarkar

Proceedings of the Euro-Par 2009 Parallel Processing, 2009