SISA Workshop
| Date | January 18-19, 2017 |
|---|---|
| Avenue | Green Computing Systems Research and Development Center, Waseda University |
| Target participants | all Waseda students, faculty members, and the general public |
| Participant fee | None |
| Organizer | Waseda University international collaboration research in MEXT SGU Embodiment Informatics Project and Waseda University Advanced Multicore Research Institute |
| Sponsorship | IEEE Computer Society Japan Chapter IEEE Computer Society Multicore STC IEEE Computer Society Dataflow STC |
| Industry Supporter | Fujitsu Limited |
Motivation of the workshop
High-performance computers and big-data systems are tied inextricably to the broader computing ecosystem and its designs and markets. However, during the past decade the eco-systems (the programming models, the system software stack, the software tools, etc.) of high-performance computing and big data appear to have been significantly diverged. Such divergence also presents serious challenges to computing architecture and hardware eco-system as well. Such situation has raised significant concerns: many felt that further divergence may be detrimental to both. In particular, both HPC and big-data systems are also facing challenges from the innovations in AI and computational machine learning methods that must be efficiently and securely handled by both. Workshop goal To address these concerns we must study the related open R&D problems that are shared by both HPC and Big-Data systems. The technical topics of this workshop have a system focus on the challenges and opportunities from relevant core technology and applications including novel methods from AI and machine learning. The theme goes beyond supercomputing performance issues and includes talks on the challenges and opportunities from demand of global green computing and security needs — in ways that distinguish them from most other scientific instruments. This workshop provides a unique opportunity to discuss open problems and potential solutions together under the same roof that will have far-reaching impact to future HPC and Big-Data systems, and beyond. We recognize that the challenges are real and the stake is high for global community. And it is far beyond the borders of nations and continents, and we should strongly encourage international participation. We also recognize that besides the traditional leadership in the HPC field (US, EU, Japan), the world has witnessed rapid new advance in other regions such as in Asia: China, India, South Korea, Taiwan to name a few. We hope that this workshop will break new ground on international collaborations inspiring future global exchanges and coordination between the emerging centers in Asia and the established centers in US and Europe.
Program
January 18, 2017
| 8:15 | Opening |
|---|---|
| 8:30 – 9:30 | Keynote session: “The Synergy of HPC and Deep Learning” by William J. Dally, NVIDIA & Stanford University, USA |
| 9:30 – 9:45 | Break |
| 9:45 – 10:30 | Kimihiko Hirao, RIKEN, Japan |
| 10:30 – 10:55 | Guangwen Yang, Tsinghua University, China |
| 10:55 – 11:20 | James Sexton, IBM, USA |
| 11:20 – 11:30 | Break |
| 11:30 – 12:30 | Panel I (Chairs: G. Gao/H. Kasahara) Panel list: W.J. Dally, M. Sato, G.W. Yang, J. Sexton |
| 12:30 – 14:00 | Lunch |
| 14:00 – 15:00 | Keynote session: “Cancer Computing: Driving Architectural Convergence of HPC, Big Data and Deep Learning” by Rick Stevens, Argonne National Laboratory, USA |
| 15:00 – 15:10 | Break |
| 15:10 – 15:35 | Mikhail Smelyanskiy, Intel, USA |
| 15:35 – 16:00 | Frederick Streitz, Lawrence Livermore National Laboratory, USA |
| 16:00 – 16:25 | Ramaswamy Govindarajan, Indian Institute of Science, India |
| 16:25 – 16:50 | Hironori Kasahara, Waseda University, Japan |
| 16:50 – 17:00 | Break |
| 17:00 – 18:00 | Panel II (Chairs: G. Gao/H. Kasahara) Panel list: R. Stevens, M. Smelyanskiy, F. Streitz, R. Govindarajan, H. Kasahara |
January 19, 2017
| 8:30 – 9:30 | Keynote session: “The U.S. D.O.E. Exascale Computing Project – Goals and Challenges” by Paul Messina, Argonne National Laboratory, USA |
|---|---|
| 9:30 – 9:45 | Break |
| 9:45 – 10:10 | Motoaki Saito, PEZY, Japan |
| 10:10 – 10:35 | Eiji Ishida, MEXT, Japan |
| 10:35 – 11:00 | Depei Qian, Beihang University, China |
| 11:00 – 11:25 | Toshiyuki Shimizu, Fujitsu, Japan |
| 11:25 – 11:35 | Break |
| 11:35 – 12:35 | Panel III (Chairs: R. Stevens/T. Sterling) Panel list: P. Messina, M. Saito, E.Ishida, D. Qian, T. Shimizu, T. Schulthess |
| 12:45 – 14:00 | Lunch |
| 14:00 – 15:00 | Keynote session: “Runtime System Architecture for Dynamic Graph Processing” by Thomas Sterling, Indiana University, USA |
| 15:00 – 15:15 | Break |
| 15:15 – 16:40 | Thomas Schulthess, Swiss Federal Institute of Technology (ETH), Switzerland |
| 15:40 – 16:05 | Moriyuki Takamura/Toshiaki Kitamura, Oscar Tech, Japan |
| 16:05 – 16:50 | Masaru Kitsuregawa, University of Tokyo, Japan |
| 16:50 – 17:00 | Break |
| 17:00 – 18:00 | Panel IV (Chairs: G. Gao/H. Kasahara) Panel list: T. Sterling, M. Kitsuregawa, T. Schulthess, M. Takamura |
Sponsors
| Organizer | Waseda University international collaboration research in MEXT SGU Embodiment Informatics Project and Waseda University Advanced Multicore Research Institute |
|---|---|
| Sponsorship | IEEE Computer Society Japan Chapter IEEE Computer Society Multicore STC IEEE Computer Society Dataflow STC |
| Industry Supporter | Fujitsu Limited |
Accommodations
1-104-19 Totsuka-machi, Shinjuku-ku, Tokyo 169-8613, Japan TEL：+81-(0)3-5285-1121 » Detailed map
Venue
Green Computing Systems Research Organization
27 Waseda-machi, Shinjuku-ku, Tokyo, Japan 162-0042 TEL:+81-(0)3-3203-4369
Transportation between the hotel and the venue
Walk (approximately 10 minutes)
Public transport (approximately 25-30 minutes, cost around 400 yen)
Taxi (approximately 10 minutes, cost around 730 yen)
