Shahrzad Shirzad

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 13

Top Topics

Pervasive Computing Environments

Code Generation

Supervised Learning

Top Venues

Euro-Par Workshops

Publications

R. Tohid, Shahrzad Shirzad, Christopher Taylor, Sayef Azad Sakin, Katherine E. Isaacs, Hartmut Kaiser
Halide Code Generation Framework in Phylanx. Euro-Par Workshops (2022)
Shahrzad Shirzad, R. Tohid, Alireza Kheirkhahan, Bibek Wagle, Hartmut Kaiser
Understanding the Effect of Task Granularity on Execution Time in Asynchronous Many-Task Runtime Systems. Euro-Par Workshops (2021)
Steven R. Brandt, Alex Bigelow, Sayef Azad Sakin, Katy Williams, Katherine E. Isaacs, Kevin A. Huck, Rod Tohid, Bibek Wagle, Shahrzad Shirzad, Hartmut Kaiser
JetLag: An Interactive, Asynchronous Array Computing Environment. PEARC (2020)
Tianyi Zhang, Shahrzad Shirzad, Bibek Wagle, Adrian S. Lemoine, Patrick Diehl, Hartmut Kaiser
Supporting OpenMP 5.0 Tasks in hpxMP - A study of an OpenMP implementation within Task Based Runtime Systems. CoRR (2020)
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
HPX - The C++ Standard Library for Parallelism and Concurrency. J. Open Source Softw. 5 (53) (2020)
Bita Hasheminezhad, Shahrzad Shirzad, Nanmiao Wu, Patrick Diehl, Hannes Schulz, Hartmut Kaiser
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications. DLS@SC (2020)
Bita Hasheminezhad, Shahrzad Shirzad, Nanmiao Wu, Patrick Diehl, Hannes Schulz, Hartmut Kaiser
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications. CoRR (2020)
Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine
Scheduling optimization of parallel linear algebra algorithms using Supervised Learning. CoRR (2019)
Tianyi Zhang, Shahrzad Shirzad, Patrick Diehl, R. Tohid, Weile Wei, Hartmut Kaiser
An Introduction to hpxMP - A Modern OpenMP Implementation Leveraging Asynchronous Many-Tasking System. CoRR (2019)
Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine
Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning. MLHPC@SC (2019)
Tianyi Zhang, Shahrzad Shirzad, Patrick Diehl, R. Tohid, Weile Wei, Hartmut Kaiser
An Introduction to hpxMP: A Modern OpenMP Implementation Leveraging HPX, An Asynchronous Many-Task System. IWOCL (2019)
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
Asynchronous Execution of Python Code on Task-Based Runtime Systems. ESPM2@SC (2018)
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
Asynchronous Execution of Python Code on Task Based Runtime Systems. CoRR (2018)