[hpc-announce] RESDIS'26 at SC First Call for Papers -- Deadline: August 7, 2026

[Ian Karlin]

Apologies for multiple copies.
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                             CALL FOR PAPERS
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6th International Workshop on RESource DISaggregation in High Performance
Computing (RESDIS’26)

To be held in conjunction with the ACM/IEEE International Conference for High
Performance Computing, Networking, Storage and Analysis (SC’26)

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                        https://urldefense.us/v3/__https://resdis.github.io/__;!!G_uCfscf7eWS!Yd-nilh-HPQhbOvaMVeX0pXLbHzZQYMKfB4uBFvBjcz7zpyV9r4J9lB7BMzfE02fGTNieRGbumnkSRVIMMj7TmYPSWgWdA$ 
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Disaggregation is an emerging compute paradigm that decomposes monolithic
resources into consolidated, single-resource pools interconnected by
high-speed fabrics. By decoupling hardware components—including tightly
coupled resources such as processors and memory—it enables the creation of
logical compute platforms with flexible, dynamically configurable hardware
compositions.

This shift is driven by several converging trends. On the application side,
the rise of data analytics and machine learning workloads in HPC environments
has created unprecedented demand for memory capacity, highlighting the growing
imbalance between compute and memory resources in traditional server
architectures where memory is co-located with processors. On the compute side,
the proliferation of heterogeneous, specialized accelerators increases the
need for adaptable system configurations, while advances in high-performance
optical interconnects improve the feasibility of distance-independent resource
integration.

At a broader level, disaggregated continuum computing extends this model
across the edge-to-cloud spectrum, combining resource disaggregation with the
computing continuum to enable a more flexible, efficient, and scalable digital
infrastructure for complex modern workflows.

The workshop intends to explore every aspect of resource disaggregation,
composability and their implications for high performance computing, in
dedicated HPC centers, cloud environments and the edge.


TOPICS OF INTEREST:
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- Disaggregated hardware in high-performance computing
- Operating systems support for disaggregated platforms
- Simulation of disaggregated platforms with existing infrastructure
- Runtime systems and programming abstractions for disaggregation and composability
- Implications of resource disaggregation for scientific computing and HPC
- Applications and algorithm design for disaggregated and composable systems
- Resource management in disaggregated and composable platforms
- Disaggregated continuum (from edge to cloud/HPC centers) and system level heterogeneity


TIMELINE AND SUBMISSION PROCEDURE:
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Submission deadline:            August  7, 2026 (AoE)
Author notification:                   September 4, 2026
Final papers deadline:            September 25, 2026
Workshop date:                          November 15, 2026 (TBD)

Workshop papers will be published in the SC Workshops Proceedings volume.
Submitted manuscripts must use the ACM proceedings template, two-column:

https://urldefense.us/v3/__https://www.acm.org/publications/proceedings-template__;!!G_uCfscf7eWS!Yd-nilh-HPQhbOvaMVeX0pXLbHzZQYMKfB4uBFvBjcz7zpyV9r4J9lB7BMzfE02fGTNieRGbumnkSRVIMMj7TmZrspjD2Q$ 

Submissions must be at least 5 pages (no upper limit), including references
and figures.  Prospective authors should submit their papers in PDF format
through the workshop's submission site:

https://urldefense.us/v3/__https://resdis.github.io/ws/2026/sc/*CFP__;Iw!!G_uCfscf7eWS!Yd-nilh-HPQhbOvaMVeX0pXLbHzZQYMKfB4uBFvBjcz7zpyV9r4J9lB7BMzfE02fGTNieRGbumnkSRVIMMj7TmbLP9-fEw$ 


WORKSHOP CHAIRS:
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Balazs Gerofi        Intel Corporation, USA
Ian Karlin               Queen's University, Canada
John Shalf              Lawrence Berkeley National Laboratory, USA


PROGRAM COMMITTEE (tentative, to be finalized):
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Michael Aguilar                            Sandia National Laboratories, USA
Larry Dennison                            Nvidia, USA
Aadesh Deshmukh                    AMD, USA
Kyle Hale                                        Illinois Institute of Technology, USA
John (Jack) Lange                       Oak Ridge National Laboratory, USA
George Michelogiannakis      Lawrence Berkeley National Laboratory, USA
Ivy Peng                                            KTH Royal Institute of Technology, Sweden
Christian Pinto                             IBM Research Europe, Ireland
Yu Tanaka                                        Fujitsu, Japan
Gaël Thomas                                Télécom SudParis, France