Shahrzad Shirzad

According to our database, Shahrzad Shirzad authored at least 10 papers between 2018 and 2022.

Collaborative distances:

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

2022

Halide Code Generation Framework in Phylanx.

R. Tohid, Shahrzad Shirzad, Christopher Taylor, Sayef Azad Sakin, Katherine E. Isaacs, Hartmut Kaiser

Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022

2021

Understanding the Effect of Task Granularity on Execution Time in Asynchronous Many-Task Runtime Systems.

Shahrzad Shirzad, R. Tohid, Alireza Kheirkhahan, Bibek Wagle, Hartmut Kaiser

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021

2020

HPX - The C++ Standard Library for Parallelism and Concurrency.

Hartmut Kaiser, Patrick Diehl, Adrian S. Lemoine, Bryce Lelbach, Parsa Amini, Agustín Berge, John Biddiscombe, Steven R. Brandt, Nikunj Gupta, Thomas Heller, Kevin A. Huck, Zahra Khatami, Alireza Kheirkhahan, Auriane Reverdell, Shahrzad Shirzad, Mikael Simberg, Bibek Wagle, Weile Wei, Tianyi Zhang

J. Open Source Softw., 2020

Supporting OpenMP 5.0 Tasks in hpxMP - A study of an OpenMP implementation within Task Based Runtime Systems.

Tianyi Zhang, Shahrzad Shirzad, Bibek Wagle, Adrian S. Lemoine, Patrick Diehl, Hartmut Kaiser

CoRR, 2020

JetLag: An Interactive, Asynchronous Array Computing Environment.

Steven R. Brandt, Alex Bigelow, Sayef Azad Sakin, Katy Williams, Katherine E. Isaacs, Kevin A. Huck, Rod Tohid, Bibek Wagle, Shahrzad Shirzad, Hartmut Kaiser

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Towards a Scalable and Distributed Infrastructure for Deep Learning Applications.

Bita Hasheminezhad, Shahrzad Shirzad, Nanmiao Wu, Patrick Diehl, Hannes Schulz, Hartmut Kaiser

Proceedings of the Fourth IEEE/ACM Workshop on Deep Learning on Supercomputers, 2020

2019

An Introduction to hpxMP - A Modern OpenMP Implementation Leveraging Asynchronous Many-Tasking System.

Tianyi Zhang, Shahrzad Shirzad, Patrick Diehl, R. Tohid, Weile Wei, Hartmut Kaiser

CoRR, 2019

Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning.

Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine

Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019

An Introduction to hpxMP: A Modern OpenMP Implementation Leveraging HPX, An Asynchronous Many-Task System.

Tianyi Zhang, Shahrzad Shirzad, Patrick Diehl, R. Tohid, Weile Wei, Hartmut Kaiser

Proceedings of the International Workshop on OpenCL, 2019

2018

Asynchronous Execution of Python Code on Task-Based Runtime Systems.

R. Tohid, Bibek Wagle, Shahrzad Shirzad, Patrick Diehl, Adrian Serio, Alireza Kheirkhahan, Parsa Amini, Katy Williams, Kate Isaacs, Kevin A. Huck, Steven R. Brandt, Hartmut Kaiser

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