ExHET 2025
The 4th International Workshop on Extreme Heterogeneity Solutions
to be held in conjunction with
PPoPP 2025
02 March, 2025
Las Vegas, NV, USA
Introduction
While computing technologies have remained relatively stable for nearly two decades, new architectural features, such as specialized hardware, heterogeneous cores, deep memory hierarchies, and near-memory processing, have emerged as possible solutions to address the concerns of energy efficiency, manufacturability, and cost. However, we expect this ‘golden age’ of architectural change to lead to extreme heterogeneity and will have a major impact on software systems and applications. In this upcoming exascale and extreme heterogeneity era, it will be critical to explore new software approaches that will enable us to effectively exploit this diverse hardware to advance science, the next-generation systems with heterogeneous elements will need to accommodate complex workflows. This is mainly due to the many forms of heterogeneous accelerators (no longer just GPU accelerators) in this heterogeneous era, and the need to map different parts of an application onto elements most appropriate for that application component. In addition, this year we are acknowledging a now clear trend by explicitly encouraging contributions involving the use of trained AI methods -- for example, the use of GPT for code generation.
Objectives, scope and topics of the workshop
This workshop aims to provide a forum to discuss new and emerging solutions to address these important challenges from the upcoming extreme heterogeneity era. Papers are being sought on many aspects of heterogeneous computing including (but not limited to):
- Heterogeneous Programming Environments and Runtime Systems
- Programming models and systems
- Parallel resource management on heterogeneous systems
- Automated parallelization and compiler techniques (Autotuning)
- Programming solutions using AI code generation
- Heterogeneous Solutions for HPC and Scientific Applications
- Parallel and distributed algorithms
- Parallel libraries and frameworks
- Parallel processing on heterogeneous systems
- Heterogeneous (included Non-von Neuman) Architectures
- Power/energy management
- Heterogeneous architectures for emerging application domains
- Architecture designs including Non-von Neuman architectures, memory and interconnection
- Reliability/Benchmarking/Measurements
- Debugging, performance tools and techniques
- Fault tolerance and resilience
- Application/hardware benchmarks
Program
TBA
Important Dates
Paper submission deadline : December 20th
Notification of acceptance : January 13th
Camera-ready papers due : TBA
Workshop day: March 02, 2024
Steering Committee
Antonio J. Pena, Barcelona Supercomputing Center, Spain
Hartwig Anzt, Technical University of Munich, Germany
Hyesoon Kim, Georgia Institute of Technology, USA
Ignacio Laguna, Lawrence Livermore National Laboratory, USA
Jeffrey S. Vetter, Oak Ridge National Laboratory, USA
Manuel Prieto, University Complutense of Madrid, Spain
Miwako Tsuji, RIKEN, Japan
Olivier Aumage, INRIA, France
Sunita Chandrasekaran, University of Delaware, USA
Toshiyuki Imamura, RIKEN, Japan
Organizers (Contact us)
Pedro Valero-Lara (co-chair)
Oak Ridge National Laboratory, USA
valerolarap@ornl.gov
Seyong Lee (co-chair)
Oak Ridge National Laboratory, USA
lees2@ornl.gov
Gokcen Kestor (co-chair)
Pacific Northwest National Laboratory, University of California Merced, USA
gokcen.kestor@pnnl.gov
Monil Mohammad Alaul Haque (proceeding chair and program chair)
Oak Ridge National Laboratory, USA
monilm@ornl.gov
Simon Garcia de Gonzalo (publicity and web chair)
Sandia National Laboratory, USA
simgarc@sandia.gov
Programme Committee
- Ali Akoglu, Arizona State University, USA
- Rabab Alomairy, Massachusetts Institute of Technology, USA
- Johannes Doerfert, Lawrence Livermore National Laboratory, USA
- Het Mankad, Carnegie Mellon University, USA
- Marc Gonzalez-Tallada, Universitat Politècnica de Catalunya, Spain
- Nikela Papadopoulou, University of Glasgow, UK
- Swaroop Pophale, Oak Ridge National Laboratory, USA
- William F. Godoy, Oak Ridge National Laboratory, USA
- Hiroyuki Takizawa, Tohoku University, Japan
Manuscript submission
We invite submissions of original, unpublished research and experiential papers. Full papers should be between 6 to 8 pages in length, formatted according to the standard ACM two-column conference template. Additionally, we are introducing a short paper track for submissions up to 3 pages. ACM templates for both Microsoft Word and LaTeX can be accessed here. All paper submissions will be managed electronically via EasyChair.
Proceedings
All accepted papers will be published in the ExHET-PPoPP Workshops 2024 proceedings by the ACM Digital Library.
Best Paper Award
The Best Full and Short Paper Award will be selected on the basis of explicit recommendations of the reviewers and their scoring towards the paper’s originality and quality.
Special Issue Journal
Selected best papers of ExHET will be considered for publication in a special issue of the international journal Applied Sciences (Heterogeneous Computing Solutions) and FGCS (High-performance Computing Heterogeneous Systems and Subsystems)
Invited Speaker (Catherine Dorothy Schuman, University of Tennessee at Knoxville):
Neuromorphic Computing in a Future Heterogeneous Computing LandscapeThough neuromorphic computing systems have been demonstrated to have extremely low-power operation and are well-suited to edge deployment, there is also tremendous opportunity to leverage neuromorphic computers in future heterogeneous high performance computing environments. In this talk, we will discuss potential use cases of neuromorphic systems in these future HPC environments, with a particular focus on applications in which neuromorphic may provide a key advantage.
Catherine (Katie) Schuman is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee (UT). She received her Ph.D. in Computer Science from UT in 2015, where she completed her dissertation on the use of evolutionary algorithms to train spiking neural networks for neuromorphic systems. Katie previously served as a research scientist at Oak Ridge National Laboratory, where her research focused on algorithms and applications of neuromorphic systems. Katie co-leads the TENNLab Neuromorphic Computing Research Group at UT. She has over 70 publications as well as seven patents in the field of neuromorphic computing. She received the Department of Energy Early Career Award in 2019. Katie is a senior member of the Association of Computing Machinery and the IEEE.
Invited Speaker (Allen D. Malony, University of Oregon):
Extreme Heterogeneity Demands Extreme ObservabilityThe extreme heterogeneity era, coupled with strong interests in exascale and AI computing, will significantly increase the complexity of next-generation HPC systems, applications programming/optimization, workflow execution, power/energy management, and more. Post-Moore computer architecture innovations are driving heterogeneity and hardware specialization, resulting in a diversity of processors, accelerators, memory, and interconnects. While there is certainly opportunities to build more powerful HPC systems based on these technology advances, the operational complexity of the heterogeneous system as a whole could make it challenging to achieve its full computational potential. A proposition is presented in the talk that heterogeneity in future HPC systems will necessitate greater support for observability. Indeed, a stronger argument will be made that observability should be an integral, comprehensive aspect of the systems design overall and that specific hardware and software dedicated to observability needs to be developed. The conclusion of this argument is that future HPC systems and the applications that run on them will not be able to deliver their full capabilities unless extreme observability is present.
Allen D. Malony is a Professor in the Department of Computer and Information Science (CIS) at the University of Oregon (UO) and the Director of the Oregon Advanced Computing Institute for Science and Society (OACISS). Malony's research interests are in parallel computing, performance analysis, supercomputing, and computational science. He has extensive experience in performance analysis of parallel systems and has developed performance evaluation tools for a variety of HPC machines. In particular, Malony's research group develops the TAU Performance System (TM), a leading open source parallel performance tool suite in use by many academic, governmental, and industrial projects around the world. He is CEO and Director of ParaTools, Inc., founded with Sameer Shende, who is the President and Director. ParaTools specializes in performance engineering for high-performance computing (HPC).
Panel:
Challenges and Solutions for the upcoming Extreme Heterogeneity EraDuring the panel discussion, the panelists and those participants in the workshop will have the opportunity to discuss the fundamentals of extreme heterogeneity: challenges and solutions.
Panelists:TBA
Registration
Information about registration at PPoPP 2025 website.