Yehonatan Fridman

Hello World!

About

I am a Researcher and Algorithms Developer at the Israel Atomic Energy Commission (since 2019), as well as a Ph.D. student in the Computer Science Department at Ben-Gurion University. My primary interests lie in the fields of High-Performance Computing, Parallel Computing, Algorithms, Artificial Intelligence, Computer Vision, and Image Processing.
Running is my favorite exercise!

Education

• Ph.D. student in Computer Science, Ben-Gurion University, (2022-now)

  Thesis:
  Recoverable Algorithms in HPC Systems

  Supervisors:
  Prof. Danny Hendler, Prof. Hagit Attiya, Dr. Gal Oren

• M.Sc. in Computer Science, Ben-Gurion University, (2019-2022)

  Thesis:
  Recoverable Algorithms in HPC Systems Using NVRAM Technology

  Supervisors:
  Prof. Danny Hendler, Prof. Hagit Attiya, Dr. Gal Oren

• B.Sc. in Computer Science and Mathematics, Tel Aviv University, Israel, (2016-2019)
  * graduation with distinction

Publications

• Yehonatan Fridman, Guy Tamir, Gal Oren. Portability and Scalability of OpenMP Offloading on State-of-the-art Accelerators. IXPUG, ISC, 2023 [waiting for proceedings]

• Yehonatan Fridman, Re'em Harel, Gal Oren. The Case for Non-Volatile RAM in Cloud HPCaaS. arXiv preprint arXiv:2208.02240, 2022 [link]

• Yehonatan Fridman, Matan Rusanovsky, Gal Oren. Recovery of Distributed Iterative Solvers for Linear Systems Using Non-Volatile RAM. 2022 IEEE/ACM 12th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS), 2022 [link]

• Yehonatan Fridman, Matan Rusanovsky, Gal Oren. ChangeChip: A Reference-Based Unsupervised Change Detection for PCB Defect Detection. 2021 IEEE Physical Assurance and Inspection of Electronics (PAINE), 2021 [link]

• Yehonatan Fridman, Yaniv Snir, Matan Rusanovsky, Kfir Zvi, Harel Levin, Danny Hendler, Hagit Attiya, Gal Oren. Assessing the Use Cases of Persistent Memory in High-Performance Scientific Computing. 2021 IEEE/ACM 11th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS), 2021 [link]

• Re'em Harel, Matan Rusanovsky, Yehonatan Fridman, Assaf Shimony, Gal Oren. Complete Deep Computer-Vision Methodology for Investigating Hydrodynamic Instabilities. High Performance Computing: ISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21–25, 2020, Revised Selected Papers 35, 2020 [link]

Presentations, Talks, Posters, Teaching and Awards

• Teaching Assistant, "Shared-Memory Parallelism: CPUs, GPUs and in-between", 236606, with Dr. Gal Oren, Department of Computer Science, Technion (2022-2023)
  [Recorded lessons on Youtube]

• Yehonatan Fridman, Yaniv Snir, Matan Rusanovsky, Kfir Zvi, Harel Levin, Danny Hendler, Hagit Attiya, and Gal Oren, "HPC Checkpoint-Restart Strategy using NVRAM", [presentation], IXPUG conference, (September 2022)

  

• IEEE TCHPC Student Travel Award to SC22 (October 2022)

• Pazy Award for excellent research funded by the Pazy Foundation (September 2022)

• Yehonatan Fridman, Yaniv Snir, Harel Levin, Danny Hendler, Hagit Attiya, Gal Oren. "Recovery of Distributed Iterative Solvers for Linear Systems Using Non-Volatile RAM.", [poster], ISC conference (May 2022)



• Yehonatan Fridman, Matan Rusanovsky, Kfir Zvi, Yaniv Snir, Harel Levin, Danny Hendler, Hagit Attiya, Gal Oren. "Assessing the Use Cases of Persistent Memory in High- Performance Scientific Computing.", [presentation], IXPUG conference (October 2021)

• Grant of excellence for academic achievements on behalf of the School of Computer Science, Tel Aviv University (2019)

  

Contact

yehonatan123f@gmail.com

fridyeh@post.bgu.ac.il