[hpc-announce] 3rd International Workshop on RESource DISaggregation in High-Performance Computing (RESDIS'23) @ SC'23: Call for Participation

[Balazs Gerofi]

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                              CALL FOR PARTICIPATION
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                   3rd International Workshop on RESource DISaggregation in
                             High-Performance Computing (RESDIS'23)

    Held together with The International Conference for High
Performance Computing,
                               Networking, Storage, and Analysis (SC'23)

                         Friday, 17th November 2023, Denver, CO, USA

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              https://resdis.github.io/ws/2023/sc/
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Disaggregation is an emerging compute paradigm that splits existing
monolithic servers into a number
of consolidated single-resource pools that communicate over a fast
interconnect. This model decouples
individual hardware resources, including tightly coupled ones such as
processors and memory, and
enables the composition of logical compute platforms with flexible and
dynamic hardware configurations.

The concept of disaggregation is driven by various recent trends in
computation. From an application
perspective, the increasing importance of data analytics and machine
learning workloads in HPC centers
brings unprecedented need for memory capacity, which is in stark
contrast with the growing imbalance in
the peak compute-to-memory capacity ratio of traditional system board
based server platforms where
memory modules are co-located with processors. Meanwhile, traditional
simulation workloads leave
memory underutilized. At the hardware front, the proliferation of
heterogeneous, special purpose computing
elements promotes the need for configurable compute platforms, while
at the same time, the increasing
maturity of optical interconnects raises the prospects of better
distance independence in networking infrastructure.

The workshop intends to explore various aspects of resource
disgregation, composability and their
implications for high performance computing, both in dedicated HPC
centers as well as in cloud
environments. RESIDS aims to bring together researchers and industrial
practitioners to foster discussion,
collaboration, mutual exchange of knowledge and experience related to
future disaggregated systems.

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AGENDA   (All times in Mountain Standard Time (UTC-7)):
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08:30 AM - Welcome and Introduction

08:35 AM - Keynote: The Open Chiplet Economy and its Application to HPC
                 Bapiraju Vinnakota (Lawrence Berkeley National Laboratory)

09:20 AM - Sunfish: An Open Centralized Composable HPC Management Framework
                 Phil Cayton (Intel Corporation), Michael Aguilar
(Sandia National Laboratories), Christian Pinto (IBM Research Europe)

09:40 AM - RISA: Round-Robin Intra-Rack Friendly Scheduling Algorithm
for Disaggregated Datacenters
                 Rashadul Kabir (Colorado State University), Ryan G.
Kim (Intel Corporation), Mahdi Nikdast (Colorado State University)

10:00 AM - Coffee Break

10:30 AM - Industry Session: Disaggregation in Practice
                 Phillip Clark (Liqid), Dan Ernst (Microsoft),
Jianping Jiang (XConn), John Ihnotic (GigaIO), Keren Bergman (Columbia
University and Xscape Photonics)

11:10 AM - Panel Discussion:
                 Michael Aguilar (Sandia National Laboratories),
                 Rashadul Kabir (Colorado State University),
                 Phillip Clark (Liqid),
                 Dan Ernst (Microsoft),
                 Jianping Jiang (XConn),
                 John Ihnotic (GigaIO),
                 Keren Bergman (Columbia University and Xscape Photonics)

12:00 PM - Adjourn

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WORKSHOP ORGANIZERS:
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Balazs Gerofi         Intel Corporation, USA
Christian Pinto       IBM Research Europe, Ireland
John Shalf             Lawrence Berkeley National Laboratory, USA

Contact us at bgerofi at gmail.com if you have any questions.