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ExHET 2022 : The 1st International Workshop on Extreme Heterogeneity Solutions


When Apr 2, 2022 - Apr 5, 2022
Where Seoul
Submission Deadline Jan 28, 2022
Notification Due Mar 7, 2022
Final Version Due Mar 21, 2022
Categories    high peformance computing   heterogeneous computing   parallel programming   scientific computing

Call For Papers

ExHET 2022
The 1st International Workshop on Extreme Heterogeneity Solutions
to be held in conjunction with
PPoPP 2022

April 2-5, 2020
Seoul, South Korea

CFP links:

Submission link:

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.

Objectives, scope and topics of the workshop
The goal of this workshop is 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)
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
Debugging, performance tools and techniques
Fault tolerance and resilience
Application/hardware benchmarks
Important Dates
Paper submission deadline :Jan 28, 2022
Notification of acceptance : March 7, 2022
Camera-ready papers due : March 21, 2022
Workshop day: April 2-5, 2022

Steering 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

Organization co-chairs (Contact us)
Pedro Valero-Lara
Oak Ridge National Laboratory, USA

Seyong Lee
Oak Ridge National Laboratory, USA

Gokcen Kestor
Pacific Northwest National Laboratory, USA

Programme Committee
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
Manuscript submission
Papers reporting original and unpublished research results and experience are solicited. Papers must not exceed 6 pages in standard ACM two-column conference format. ACM templates for Microsoft Word, and LaTeX are available here. All paper submissions will be handled electronically via EasyChair.

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.

Toward Extreme Heterogeneity… but how?(Antonio J. Peña)

The tradeoff between hardware specialization and energy consumption, tied to the energy limitations the community is hitting toward exascale computing and beyond, is slowly but unstoppably leading to ubiquitous heterogeneity. This includes not only co-processor accelerators but also memory/storage subsystems and networking elements. While applications see themselves often forced to include some sort of highly-tuned ninja codes to attain high use of resources, the entire software ecosystem (programming models, runtime systems, compilers, OS) is working towards providing efficient and ease-to-use abstractions. In this talk I’ll review heterogeneity trends in HPC and several solutions/attempts to palliate the burden from application developers.

Antonio J. Peña is a Sr. Researcher at the Barcelona Supercomputing Center (BSC), where he leads the “Accelerators and Communications for HPC” team. He is a former Marie Sklodowska-Curie Individual Fellow and Juan de la Cierva Fellow, and prospective Ramón y Cajal Fellow. Among others, Antonio is a recipient of the 2017 IEEE TCHPC Award for Excellence for Early Career Researchers in High Performance Computing and ACM/IEEE Sr. Member. He is involved in the organization and steering committees of several conferences and workshops such as SC, IEEE Cluster, or AsHES. Antonio has been working ever since he started his PhD in system software support for hardware heterogeneity in HPC, covering topics such as remote GPGPU virtualization or heterogeneous memory systems.

Invited Talk:
IRIS: Portable Programming in the Era of Extreme Heterogeneity (Jungwon Kim)

From edge to exascale, computer architectures are becoming more heterogeneous and complex. The systems typically have fat nodes, with multicore CPUs and multiple hardware accelerators such as GPUs, FPGAs, and DSPs. This complexity is causing a crisis in programming systems and performance portability. Several programming systems are working to address these challenges, but the increasing architectural diversity is forcing software stacks and applications to be specialized for each architecture, resulting in poor portability and productivity. This talk argues that a more agile, proactive, and intelligent runtime system is essential to increase performance portability and improve user productivity. To this end, this talk introduces a new runtime system called IRIS. IRIS enables programmers to write portable and flexible programs across diverse heterogeneous architectures from edge to exascale by orchestrating multiple programming platforms in a single execution and programming environment.

Jungwon Kim, PhD, is a Computer Scientist in the Programming Systems Group at Oak Ridge National Laboratory (ORNL). At ORNL, he has designed and implemented programming systems for heterogeneous computing and memory architectures. Kim earned his PhD in Electrical Engineering and Computer Science at Seoul National University.

Challenges and Solutions for the upcoming Extreme Heterogeneity Era

During the panel discussion, the panelists as well as those participants in the workshop, will have the opportunity to discuss the fundamentals of extreme heterogeneity: challenges and solutions. Panelists:

Jeffrey S. Vetter, Oak Ridge National Laboratory, USA

Olivier Aumage, INRIA, France

Taisuke Boku, University of Tsukuba, Japan

Stanimire Tomov, University of Tennessee at Knoxville, USA

Vijay Janapa Reddi, University of Harvard, USA

Information about registration at PPoPP 2022 website.

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