PMES 2018: 3rd International Workshop on Post Moore's Era Supercomputing
Held in conjunction with SC18: The International Conference for High Performance Computing, Networking, Storage and Analysis
Sunday, 11 November 2018
Dallas Convention Center
In cooperation with IEEE TCHPC.
- 15 Nov 2018 - PMES presentations posted at Program
- 8 Nov 2018 - PMES proceedings now available as PDF
- 28 Oct 2018 - PMES final program has been posted at https://sc18.supercomputing.org/session/?sess=sess156.
- 10 Oct 2018 - PMES is pleased to announce that our Invited Speakers will be Tom Rondeau from DARPA MTO and Lucy Nowell from DOE ASCR.
- 18 Jul 2018 - PMES 18 CFP published and submissions opened.
- 11 Apr 2018 - PMES selected for SC18 workshops. We'll see you in November!
- Workshop URL: http://j.mp/pmes18 (https://sites.google.com/view/pmes18/home)
- SC18 Workshop URL: https://sc18.supercomputing.org/presentation/?id=wksp121&sess=sess156
- Submissions: Call for Papers
- Submission site opens: July 2018
- Submission deadline:
31 Aug 2018 AoE- 10 Sep 2018 AoE
- Notification: 24 Sep 2017
- Workshop: Sunday, 11 Nov 2017
These interdisciplinary workshops are organized to explore the scientific issues, challenges, and opportunities for supercomputing beyond the scaling limits of Moore's Law, with the ultimate goal of keeping supercomputing at the forefront of computing technologies beyond the physical and conceptual limits of current systems. Continuing progress of supercomputing beyond the scaling limits of Moore's Law is likely to require a comprehensive re-thinking of technologies, ranging from innovative materials and devices, circuits, system architectures, programming systems, system software, and applications.
The workshop is designed to foster interdisciplinary dialog across the necessary spectrum of stakeholders: applications, algorithms, software, and hardware. Motivating workshop questions will include the following. "What technologies might prevail in the Post Moore's Era?" "How can applications effectively prepare for these changes through co-design?" "What architectural abstractions should be in place to represent the traditional concepts like hierarchical parallelism, multi-tier data locality, and new concepts like variable precision, approximate solutions, and resource tradeoff directives?" "What programming models might insulate applications from these changes?"
Experts from academia, government, and industry in the fields of computational science, mathematics, engineering, and computer science will have the opportunity to participate in the workshop as a presenter, panelist, or audience member. Invited speakers will provide insights and challenges from their disciplinary perspectives, while peer-reviewed position papers on promising ideas will be presented to facilitate community interaction and diversity. Panel sessions will provide opportunities for interactions across disciplines and provocative questions from the audience.
- Technology trends and predictions
- Quantum computing
- Domain specific or specialized architectures
- Neuromorphic and brain-inspired computing
- Probabilistic and stochastic computing
- Superconducting and cryogenic computing
- Interconnection technologies like silicon photonics and optics
- Alternative device technologies like CNT transistors
- Approximate computing
- Biological computing
- Alternative memory systems including non-volatile memory
- Beyond Von-Neumann computer architectures, including in-memory processing and memory-based computing
- Exploiting nonlinear dynamics and chaos in device behavior
- Reversible, adiabatic, and ballistic computing
- Integration of device technologies including approaches in stacking, interposers, etc.
- PMES application drivers from computational science, data intensive, deep learning
- Programming paradigms for PMES systems
- Cross-cutting topics like methodologies and tools for codesign, design automation, modeling, simulation, emulation, or benchmarking of PMES systems
Extended abstracts selected for the workshop will be compiled and published as a technical report on arXiv.org. Authors will retain the copyright to their material.
- Satoshi Matsuoka (RIKEN, Tokyo Institute of Technology) matsu acm.org
- Jeffrey S. Vetter (Oak Ridge National Laboratory) vetter computer.org
- Keren Bergman, Columbia University
- Jonathan Carter, Lawrence Berkeley National Laboratory
- Tom Conte, Georgia Institute of Technology
- Holger Froening, University of Heidelberg
- Maya Gokhale, Lawrence Livermore National Laboratory
- Koji Inoue, Kyushu University
- George Michelogiannakis, Lawrence Berkeley National Laboratory
- David Mountain, US Department of Defense
- Kengo Nakajima, University of Tokyo, RIKEN
- Scott Pakin, Los Alamos National Laboratory
- Catherine Schuman, Oak Ridge National Laboratory
- Osman Unsal, Barcelona Supercomputing Center
- Gerhard Wellein, University of Erlangen-Nuremberg