4th International Workshop on
RESource DISaggregation
in High-Performance Computing

Held together with The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'24)

November 17th (Sun) 2024, Atlanta, GA, USA

Introduction

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. RESDIS aims to bring together researchers and industrial practitioners to foster discussion, collaboration, mutual exchange of knowledge and experience related to future disaggregated systems.



Call for Papers

The RESDIS program committee solicits original, high-quality submissions of unpublished results related to the theme of resource disaggregation and composable systems. Topics of interest include, but not limited to:

- 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 composability
- Networking for disaggregation, including silicon photonics and optical interconnects
- Implications of resource disaggregation for scientific computing and HPC applications
- Algorithm design for disaggregated and composable systems
- Disaggregated high throughput storage
- Disaggregated heterogeneous accelerators (GPUs, FPGAs, AI Accelerators, etc.)
- Resource management in disaggregated and composable platforms

The workshop proceedings will be published electronically via the IEEE Computer Society Digital Library. Submitted manuscripts must use the proceedings templates at: https://www.ieee.org/conferences/publishing/templates.html. Submissions must be between 5 and 8 pages, including references and figures. Prospective authors should submit their papers in PDF format through Linklings’ submission site:

Submissions Closed



Important Dates

August 16th (Fri) AoE

Submission deadline (EXTENDED)

Acceptance notification

Camera ready paper deadline

Workshop date

Organization

Workshop Chairs


Intel Corporation, USA & RIKEN, Japan

Lawrence Berkeley National Laboratory, USA

IBM Research Europe, Ireland

Program Committee


Michael Aguilar

Sandia National Laboratories, USA

Larry Dennison

Nvidia, USA

Thaleia Dimitra Doudali

IMDEA Software Institute, Spain

Kyle Hale

Illinois Institute of Technology, USA

John (Jack) Lange

Oak Ridge National Laboratory, USA

Ivy Peng

KTH Royal Institute of Technology, Sweden

Yu Tanaka

Fujitsu, Japan

Gaël Thomas

Télécom SudParis, France

Agenda

All times in Eastern Time (UTC-4)

TBA

Event Venue

285 Andrew Young International Blvd NW, Atlanta, GA 30313

The Georgia World Congress Center

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