Novel hybrid scalable scientific algorithms are needed with the advent of variety of novel accelerators including graphics processing units (GPUs), field-programmable gate arrays (FPGAs) as well as with the growth of the size of quantum computing devices and neuromorphic chips and various artificial intelligence (AI) specific processors. This myriad of devices requires an unified hybrid approach that allows efficient and scalable hybrid approaches combining classical and novel computing paradigms to be implemented at scale. These extreme-scale heterogeneous systems require novel scientific algorithms to hide the complexity, hide network and memory latency, have advanced communication, and have no synchronization points where possible. With the advent of AI in the past few years the need of such scalable mathematical methods and algorithms for such hybrid architectures that are able to handle data and compute intensive applications at scale becomes even more important.
Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Key science applications require novel mathematics and mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale heterogeneous high performance computing (HPC) systems.
Authors are invited to submit manuscripts in English structured as technical papers in PDF format with at least 5 letter size (8.5in x 11in) pages in IEEE two-column format and not exceeding 8 pages, plus an optional 4-page Artifact Description Appendix. All authors must use the proceedings templates at https://www.ieee.org/conferences/publishing/templates.html.
Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Papers should be submitted electronically at https://submissions.supercomputing.org.
All manuscripts will be single-blind peer-reviewed by at least 3 committee members and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Accepted papers will be published with the IEEE SC Workshop proceedings. At least one author of an accepted paper must register for and present the paper at the workshop. Authors may contact the workshop program chair, Christian Engelmann at engelmannc@ornl.gov, for more information.
As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalAH24 invites authors of technical papers to submit optional appendix information that can promote better reproducibility of computational results. Submitted Artifact Description (AD) and Artifact Evaluation (AE) appendices should follow the SC24 conference model and included in the submitted manuscript (see https://sc24.supercomputing.org/program/papers/reproducibility-initiative/).
Up to 4 additional letter size (8.5in x 11in) pages are permitted for the AD and AE appendices, but should not be used to circumvent the 8-page limit for the technical contribution. A manuscript can not be disqualified based on information provided or not provided in the AD/AE appendices, nor if the appendix is not available. The availability and quality of an appendix can be used in ranking. In particular, if two manuscripts are of similar quality, the existence and quality of the AD/AE appendices can be part of the evaluation process.
Topics of interest include, but are not limited to:
This is the preliminary workshop program and subject to change.