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 it 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 of mapping different parts of an application onto elements most appropriate for that application component.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full papers describing original and unpublished research results and experience are solicited. Papers must not exceed 6 pages in standard ACM two-column conference format.

List of Topics

• Heterogeneous Programming Environments and Runtime Systems
• Heterogeneous Solutions for HPC and Scientific Applications
• Heterogeneous (included Non-von Neuman) Architectures
• Reliability/Benchmarking/Measurements

Committees

Program Committee

• Jeffrey S. Vetter, Oak Ridge National Laboratory, USA
• Olivier Aumage, INRIA, France
• Taisuke Boku, University of Tsukuba, Japan
• Manuel Prieto, University Complutense of Madrid, Spain
• Hartwig Anzt, KIT, Germany
• Hyesoon Kim, Georgia Institute of Technology, USA
• Stanimire Tomov, University of Tennessee at Knoxville, USA
• Enrique Quintana, Technical University of Valencia, Spain
• Guray Ozen, NVIDIA, USA
• Juan Gomez-Luna, ETH Zurich, Switzerland
• Simón García de Gonzalo, Barcelona Supercomputing Center (BSC), Spain
• Amina Guermouche, INRIA – Telecom SudParis, France
• Jaewoong Sim, Seoul National University, Korea
• Catherine (Katie) Schuman, Oak Ridge National Laboratory, USA
• Ahmad Abdelfattah, University of Tennessee at Knoxville, USA
• Tze Meng Low, Carnegie Mellon University, USA
• Ali Akoglu, Arizona State University, USA
• Naoya Maruyama, NVIDIA, USA
• Didem Unat, Koc University, Turkey
• Jose Manuel Monsalve, Argonne National Laboratory, USA
• Junjie Li, University of Texas at Austin, USA
• Muaaz Awan, National Energy Research Scientific Computing Center (NERSC), USA

Organizing committee

• Pedro Valero-Lara, Oak Ridge National Laboratory, USA, valerolarap@ornl.gov
• Seyong Lee, Oak Ridge National Laboratory, USA, lees2@ornl.gov
• Gokcen Kestor, Pacific Northwest National Laboratory, USA, gokcen.kestor@pnnl.gov

Invited Speakers

• Antonio J. Peña, Barcelona Supercomputing Center, Spain
• Jungwon Kim, Oak Ridge National Laboratory, USA

Publication

All accepted papers will be published in the ExHET-PPoPP Workshops 2022 proceedings by the ACM Digital Library. Selected best papers of ExHET will be considered for publication in a special issue of the international journal Electronic.

Venue

The conference will be held in in conjunction with PPoPP'22.

Contact

All questions about submissions should be emailed to Organizing Committee.