[hpc-announce] CFP: Deadline Extension - 2nd International Workshop on RESource DISaggregation in High Performance Computing (RESDIS’22), co-located with SC'22

Balazs Gerofi bgerofi at gmail.com
Fri Jul 29 16:46:42 CDT 2022

                             CALL FOR PAPERS

2nd IEEE/ACM International Workshop on RESource DISaggregation in High
Performance Computing (RESDIS’22)

To be held in conjunction with The International Conference for High
Performance Computing, Networking, Storage and Analysis (SC’22) on November 18,

In cooperation with the IEEE Computer Society


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

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. 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 elevates 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.

- Disaggregated hardware in high-performance computing
- Operating systems and runtime support for disaggregated platforms
- Simulation of disaggregated platforms with existing infrastructure
- Runtime systems and programming abstractions for disaggregation and
- Networking for disaggregation, including silicon photonics and optical
- Implications of resource disaggregation for scientific computing and
  HPC applications
- Algorithm design for disaggregated and composable systems
- Disaggregated high throughput storage
- Resource management in disaggregated and composable platforms

Submission deadline (extended):    August 12, 2022 (AoE)
Author notification:               September 9, 2022
Final papers deadline:             October 7, 2022
Workshop date:                     November 18, 2022

The workshop proceedings will be published electronically via the IEEE Computer
Society Digital Library.  Submitted manuscripts should be formatted using the
IEEE template conference mode.  The maximum paper length is 8 pages, not
including references and other appendices.  Prospective authors should submit
their papers in PDF format through Linklings:


Balazs Gerofi           Intel Corporation, USA
John Shalf              Lawrence Berkeley National Laboratory, USA
Keren Bergman           Columbia University, USA

Manya Ghobadi           Massachusetts Institute of Technology, USA
Madeleine Glick         Columbia University, USA
Ian Karlin              NVIDIA, USA
John (Jack) Lange       Oak Ridge National Laboratory, USA
Ivy Peng                Lawrence Livermore National Laboratory, USA
Yu Tanaka               Fujitsu, Japan
Gaël Thomas             Télécom SudParis, France

More information about the hpc-announce mailing list