Aaron Jezghani

12 papers A* 1Journal 3Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Characterizing CPU-Induced Slowdowns in Multi-GPU LLM Inference.
CoRR
Euijun Chung, Yuxiao Jia, Aaron Jezghani, Hyesoon Kim
2025 A* conf
Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective.
MICRO
Seokjin Go, Joongun Park, Spandan More, Hanjiang Wu, Irene Wang, Aaron Jezghani, Tushar Krishna, Divya Mahajan
2025 J jnl
Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective.
CoRR
Seokjin Go, Joongun Park, Spandan More, Hanjiang Wu, Irene Wang, Aaron Jezghani, Tushar Krishna, Divya Mahajan
2025 — conf
FlexInfer: Flexible LLM Inference with CPU Computations.
MLSys
Seonjin Na, Geonhwa Jeong, Byung Hoon Ahn, Aaron Jezghani, Jeffrey Young, Christopher J. Hughes, Tushar Krishna, Hyesoon Kim
2024 J jnl
Delta-Rice: A HDF5 Compression Plugin optimized for Digitized Detector Data.
J. Open Source Softw.
D. G. Mathews, C. B. Crawford, Stefan Bassler, Noah Birge, L. J. Broussard, Francisco Gonzalez, Leendert Hayen, Aaron Jezghani, Huangxing Li, Russell Mammei, August Mendelsohn, Glenn Randall, G. V. Riley, D. C. Schaper
2024 — conf
Exploring Research Dataset-Sharing Strategies for Concurrent AI Workflows.
PEARC
Yongnuo Yang, Fang Liu, Michael D. Weiner, Aaron Jezghani, J. Eric Coulter, Rubén Lara, Ronald Rahaman, Kenneth J. Suda, Jeffrey Valdez, Dee Womack, Dan Zhou
2023 — conf
Future Computing with the Rogues Gallery.
IPDPS Workshops
Aaron Jezghani, Jeffrey Young, Will Powell, Ronald Rahaman, J. Eric Coulter
2023 — conf
ICE 2.0: Restructuring and Growing an Instructional HPC Cluster.
SC Workshops
J. Eric Coulter, Michael D. Weiner, Aaron Jezghani, Matthew Guidry, Rubén Lara, Fang (Cherry) Liu, Allan Metts, Ronald Rahaman, Kenneth J. Suda, Peter Wan, Gregory Willcox, Deirdre Womack, Dan Zhou
2022 — conf
Buzzard: Georgia Tech's Foray into the Open Science Grid.
PEARC
Mehmet Belgin, Semir Sarajlic, Rubén Lara, Laura Cadonati, A. Nepomuk Otte, Ignacio J. Taboada, Gregory L. Beyer, Norman Bray Bonner, Michael Brandon, Pam Buffington, J. Eric Coulter, Aaron Jezghani, David Leonard, Fang Liu, Paul D. Manno, Craig A. Moseley, Trever C. Nightingale, Ronald Rahaman, Kenneth J. Suda, Peter Wan, Michael D. Weiner, Deirdre Womack, Dan Zhou, Andre C. McNeill, Neil Bright, Robert W. Gardner, Pascal Paschos, Lincoln Andrew Bryant, Judith Lorraine Stephen, James Alexander Clark, Brian Hua Lin, Todd Tannenbaum, Gregory Thain
2022 — conf
Onboarding Users to A64FX via Open OnDemand.
HPC Asia Workshops
Aaron Jezghani, Kevin Manalo, Will Powell, Jeffrey Valdez, Jeffrey S. Young
2022 — conf
Phoenix: The Revival of Research Computing and the Launch of the New Cost Model at Georgia Tech.
PEARC
Aaron Jezghani, Semir Sarajlic, Michael Brandon, Neil Bright, Mehmet Belgin, Gregory L. Beyer, Christopher Blanton, Pam Buffington, J. Eric Coulter, Rubén Lara, Lew Lefton, David Leonard, Fang (Cherry) Liu, Kevin Manalo, Paul Manno, Craig A. Moseley, Trever C. Nightingale, Norman Bray Bonner, Ronald Rahaman, Christopher Stone, Kenneth J. Suda, Peter Wan, Michael D. Weiner, Deirdre Womack, Nuyun Zhang, Dan Zhou
2021 — conf
Human-in-the-Loop Automatic Data Migration for a Large Research Computing Data Center.
CSCI
Fang (Cherry) Liu, Michael D. Weiner, Kevin Manalo, Aaron Jezghani, Christopher J. Blanton, Christopher Stone, Kenneth J. Suda, Nuyun Zhang, Dan Zhou, Mehmet Belgin, Semir Sarajlic, Rubén Lara