PAISE 2024

Program

Keynote: Dr. Manish Parashar

Dr. Manish Parashar

Manish Parashar is Director of the Scientific Computing and Imaging Institute and Presidential Professor in the University of Utah’s Kahlert School of Computing. He recently completed an IPA term as Office Director of NSF’s Office of Advanced Cyberinfrastructure, where he oversaw investments in national cyberinfrastructure. He also served as co-chair of the National Science and Technology Council’s Subcommittee on the Future Advanced Computing Ecosystem and the National Artificial Intelligence Research Resource Task Force. Manish is a fellow of AAAS, ACM, and IEEE.

Manish’s research interests are in the broad areas of Parallel and Distributed Computing and Computational and Data-Enabled Science and Engineering. Not only has he published extensively in these areas, but he has also deployed software systems that are in wide use today. Manish is the founding chair of the IEEE Technical Consortium on High Performance Computing (TCHPC) and serves on the editorial boards and organizing committees of a number of journals and international conferences and workshops.

He has received several awards for his research and leadership, including the 2023 Achievement Award in High Performance Distributed Computing and the 2023 Sidney Fernbach Memorial Award. He is a Fellow of AAAS, ACM, and IEEE.

Program (Tentative)

The final program will be posted in first week of May.

Event Description Start End Duration
Introduction Introductory Remarks - PAISE Organizers 9:00 AM 9:10 AM 10 min
Session 1 Keynote - Manish Parashar 9:10 AM 10:10 AM 60 min
Break - 1 10:10 AM 10:20 AM 10 min
Session 2 PAISE-01: FrameFeedback: A Closed-Loop Control System for Dynamic Offloading Real-Time Edge Inference. Dimitrios Nikolopoulos, Matthew Jackson and Bo Ji. 10:20 AM 10:45 AM 25 min
PAISE-02: PCM Enabled Low-Power Photonic Accelerator for Inference and Training on Edge Devices. Juliana Curry, Ahmed Louri, Avinash Karanth and Razvan Bunescu. 10:45 AM 11:10 AM 25 min
Invited Talk: Charon: An End-to-End Infrastructure for Connecting AI@Edge to HPC. Seongha Park, Yongho Kim, Swann Perarnau, Kamil Iskra, Pete Beckman, and Kazutomo Yoshii. 11:10 AM 11:30 AM 20 min
Lunch 11:30 AM 1:00 PM 90 min
Panel Immidiate opportunities and challenges, and long-term strategy. 1:00 PM 2:30 PM 90 min
Break - 2 2:30 PM 2:40 PM 10 min
Session 3 PAISE-03: A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge. Hasanul Mahmud, Peng Kang, Kevin Desai, Palden Lama and Sushil Prasad. 2:40 PM 3:05 PM 25 min
PAISE-04: Towards Accelerating k-NN with MPI and Near-Memory Processing. Hoo-Young Ahn, Seon Young Kim, Yoomi Park, Woojong Han, Nick Contini, Bharath Ramesh, Mustafa Abduljabbar and Panda Dhabaleswar. 3:05 PM 3:30 PM 25 min
Forum Workshop Forum for Feedback and Next Steps. 3:30 PM 3:55 PM 25 min
Conclusion Closing Remarks - PAISE Organizers 3:55 PM 4:00 PM 5 min