[hpc-announce] CFP: The 1st International Workshop on Extreme Heterogeneity Solutions to be held in conjunction with PPoPP 2022

Pedro Valero Lara pedro.valero.lara at gmail.com
Thu Dec 9 06:47:57 CST 2021

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

April 2-5, 2022
Seoul, South Korea

Workshop website:
CFP webpages:
Submission webpage:

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
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
valerolarap at ornl.gov

Seyong Lee
Oak Ridge National Laboratory, USA
lees2 at ornl.gov

Gokcen Kestor
Pacific Northwest National Laboratory, USA
gokcen.kestor at pnnl.gov

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),
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

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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