1 code implementation • 21 Mar 2024 • Deborah Schwarcz, Nadav Schneider, Gal Oren, Uri Steinitz
Neutronic calculations for reactors are a daunting task when using Monte Carlo (MC) methods.
1 code implementation • 14 Feb 2024 • Nadav Schneider, Niranjan Hasabnis, Vy A. Vo, Tal Kadosh, Neva Krien, Mihai Capotă, Guy Tamir, Ted Willke, Nesreen Ahmed, Yuval Pinter, Timothy Mattson, Gal Oren
This study first investigates the performance of state-of-the-art language models in generating MPI-based parallel programs.
no code implementations • 3 Feb 2024 • Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Munoz, Theodore L. Willke, Tim Mattson, Ali Jannesari
Recently, language models (LMs), especially large language models (LLMs), have revolutionized the field of deep learning.
no code implementations • 28 Jan 2024 • Le Chen, Arijit Bhattacharjee, Nesreen Ahmed, Niranjan Hasabnis, Gal Oren, Vy Vo, Ali Jannesari
Large language models (LLMs), as epitomized by models like ChatGPT, have revolutionized the field of natural language processing (NLP).
2 code implementations • 20 Dec 2023 • Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Mihai Capota, Abdul Wasay, Nesreen Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy Mattson, Gal Oren
Specifically, we start off with HPC as a domain and build an HPC-specific LM, named MonoCoder, that is orders of magnitude smaller than existing LMs but delivers similar, if not better performance, on non-HPC and HPC tasks.
no code implementations • 11 Nov 2023 • Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Bin Lei, Ali Jannesari
The evaluation of CompCodeVet on two open-source code datasets shows that CompCodeVet has the ability to improve the training dataset quality for LLMs.
2 code implementations • 18 Aug 2023 • Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Abdul Wasay, Nesreen Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy Mattson, Gal Oren
With easier access to powerful compute resources, there is a growing trend in the field of AI for software development to develop larger and larger language models (LLMs) to address a variety of programming tasks.
1 code implementation • 16 Aug 2023 • Nadav Schneider, Muriel Tzdaka, Galit Sturm, Guy Lazovski, Galit Bar, Gilad Oren, Raz Gvishi, Gal Oren
In this paper, we suggest different multi-view architectures for the vision domain, each suited to another problem, and we also present a methodology for explaining these models.
2 code implementations • 16 May 2023 • Nadav Schneider, Tal Kadosh, Niranjan Hasabnis, Timothy Mattson, Yuval Pinter, Gal Oren
Message Passing Interface (MPI) plays a crucial role in distributed memory parallelization across multiple nodes.
2 code implementations • 16 May 2023 • Tal Kadosh, Nadav Schneider, Niranjan Hasabnis, Timothy Mattson, Yuval Pinter, Gal Oren
Specifically, we propose a novel approach, called OMPify, to detect and predict the OpenMP pragmas and shared-memory attributes in parallel code, given its serial version.
2 code implementations • 10 Aug 2022 • Nadav Schneider, Matan Rusanovsky, Raz Gvishi, Gal Oren
A common problem in foam production is the creation of defective foams.
2 code implementations • 27 Apr 2022 • Re'em Harel, Yuval Pinter, Gal Oren
As a result, there is a growing need to utilize these architectures by introducing shared memory parallelization schemes to software applications.
1 code implementation • 13 Sep 2021 • Yehonatan Fridman, Matan Rusanovsky, Gal Oren
In this paper, we introduce ChangeChip, an automated and integrated change detection system for defect detection in PCBs, from soldering defects to missing or misaligned electronic elements, based on Computer Vision (CV) and UL.
2 code implementations • 22 Apr 2021 • Matan Rusanovsky, Ofer Beeri, Gal Oren
(4) Deep anomaly detection and pattern recognition is performed on the inclusions masks to determine spatial, shape and area anomaly detection of the inclusions.
no code implementations • 25 Feb 2021 • Kfir Zvi, Gal Oren
Common resource management methods in supercomputing systems usually include hard divisions, capping, and quota allotment.
Fairness Distributed, Parallel, and Cluster Computing
1 code implementation • 3 Apr 2020 • Re'em Harel, Matan Rusanovsky, Yehonatan Fridman, Assaf Shimony, Gal Oren
In fluid dynamics, one of the most important research fields is hydrodynamic instabilities and their evolution in different flow regimes.
1 code implementation • 27 Feb 2020 • Matan Rusanovsky, Gal Oren, Sigalit Ifergane, Ofer Beeri
The micro-structure of most of the engineering alloys contains some inclusions and precipitates, which may affect their properties, therefore it is crucial to characterize them.
no code implementations • 26 Jul 2019 • Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik
Second, we show that the generated descriptions can be kept close to natural by constraining them to be similar to human descriptions.