1 citations · 3 across the 11 of their papers we have counts for
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Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators
Yehonatan Fridman, Guy Tamir, Uri Steinitz +1
Monte Carlo (MC) simulations play a pivotal role in diverse scientific and engineering domains, with applications ranging from nuclear physics to materials science. Harnessing the…
CXL Memory as Persistent Memory for Disaggregated HPC: A Practical Approach
Yehonatan Fridman, Suprasad Mutalik Desai, Navneet Singh +2
In the landscape of High-Performance Computing (HPC), the quest for efficient and scalable memory solutions remains paramount. The advent of Compute Express Link (CXL) introduces a…
Portability and Scalability of OpenMP Offloading on State-of-the-art Accelerators
Yehonatan Fridman, Guy Tamir, Gal Oren
Over the last decade, most of the increase in computing power has been gained by advances in accelerated many-core architectures, mainly in the form of GPGPUs. While accelerators a…
The Case for Non-Volatile RAM in Cloud HPCaaS
Yehonatan Fridman, Re'em Harel, Gal Oren
HPC as a service (HPCaaS) is a new way to expose HPC resources via cloud services. However, continued effort to port large-scale tightly coupled applications with high interprocess…
Recovery of Distributed Iterative Solvers for Linear Systems Using Non-Volatile RAM
Yehonatan Fridman, Yaniv Snir, Harel Levin +3
HPC systems are a critical resource for scientific research. The increased demand for computational power and memory ushers in the exascale era, in which supercomputers are designe…
Assessing the Use Cases of Persistent Memory in High-Performance Scientific Computing
Yehonatan Fridman, Yaniv Snir, Matan Rusanovsky +5
As the High Performance Computing world moves towards the Exa-Scale era, huge amounts of data should be analyzed, manipulated and stored. In the traditional storage/memory hierarch…