[hpc-announce] [CFP] SC26 Workshop on High-Accuracy Computing on Low-Precision Hardware (HCLH'26)
Barik, Reet
rbarik at anl.gov
Tue Jul 21 13:21:36 CDT 2026
Apologies if you receive multiple copies of this email!
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CALL FOR PAPERS
SC26 Workshop on High-Accuracy Computing on Low-Precision Hardware
(HCLH '26)
In conjunction with SC26: The International Conference for High
Performance Computing, Networking, Storage and Analysis, Nov 15–20, 2026,
Chicago, IL, USA
(https://urldefense.us/v3/__https://hclh-sc.github.io__;!!G_uCfscf7eWS!eF1k1tH5b9dYBXk-hbTV5ikgSyJAagwH2nH2UQwOkaXihCIS1jwO4dpWgKwvlcL_TSGvYxoSvZ4AG9kZUFny4w$ <https://urldefense.us/v3/__https://gcc02.safelinks.protection.outlook.com/?url=https*3A*2F*2Furldefense.com*2Fv3*2F__https*3A*2Furldefense.us*2Fv2*2Furl*3Fu*3Dhttps-3A__hclh-2Dsc.github.io*26d*3DDwQGaQ*26c*3Dv4IIwRuZAmwupIjowmMWUmLasxPEgYsgNI-O7C4ViYc*26r*3DSF2YipDJY2dwSsQ76LTjoA*26m*3DA3s89obSbCMxdbLaCER87thVpSoAAnPRoA1Iffm8fR1W5sR3wPm6lr4PK43yXV4e*26s*3DDbelW_6zg0OJqQDbqNFI08WIQFJ9tv13F6zvZvz0GLk*26e*3D__*3B!!JmPEgBY0HMszNaDT!snH5UIqSaLOHYdR2rJpyNO7BgXs2VzjRLpn4sqoOMC2B0GM9MGTmkN1LghMPKXXwQAVfNP45FSQ*24&data=05*7C02*7Chpc-announce*40mcs.anl.gov*7Cba702276beb84e2647a108dee754e6ac*7C0cfca18525f749e38ae7704d5326e285*7C0*7C0*7C639202549038000481*7CUnknown*7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ*3D*3D*7C0*7C*7C*7C&sdata=iQsPLdtWpvKQw0nIQwy3a8bYoX2ehLlLcWJWMYNxCrc*3D&reserved=0__;JSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUl!!G_uCfscf7eWS!eF1k1tH5b9dYBXk-hbTV5ikgSyJAagwH2nH2UQwOkaXihCIS1jwO4dpWgKwvlcL_TSGvYxoSvZ4AG9m2d_Bl2g$ >)
===========================================================================
Dates
=====
Paper submissions due: July 31st, 2026
Notification of acceptance: August 31st, 2026
Camera-ready papers due: September 21st, 2026
Scope
=====
Modern high-performance computing systems increasingly prioritize
reduced-precision arithmetic such as FP16, BF16, TF32, FP8, and
integer formats to improve performance and energy efficiency. At the
same time, many scientific applications continue to require high
accuracy, numerical stability, and reproducibility. This growing
mismatch between hardware trends and application requirements presents
a fundamental challenge for the HPC community.
The HCLH '26 workshop aims to bring together researchers, application
scientists, system developers, and industry partners to explore
algorithmic and implementation approaches enabling accurate scientific
computing on low-precision hardware. The workshop will feature invited
talks and solicited works highlighting mixed-precision methods,
error-aware and adaptive numerical algorithms, floating-point emulation
libraries, and practical deployment on large-scale systems. The
workshop emphasizes building community-driven software ecosystems for
broad adoption across domains, reducing duplication, and accelerating
impact. By fostering discussion among application developers, numerical
experts, and hardware vendors, the workshop will establish best
practices, share lessons, and strengthen academia–industry
collaboration to make low-precision hardware a reliable component of
scientific workflows.
Topics
======
Topics of interest include, but are not limited to:
* Mixed-precision and precision-adaptive algorithms
* Precision-aware iterative methods, solvers, and preconditioners
* Floating-point emulation techniques, including FP64 emulation and
Ozaki-style schemes
* Alternative number formats and numerical representations, including
posits and custom formats
* Numerical stability, conditioning, error propagation, and robustness
analysis, including formal and empirical methods
* Tools for numerical debugging, verification, sensitivity analysis,
and robustness evaluation
* Compiler, runtime, and library support for precision-aware execution
* Hardware/software co-design and use of low-precision accelerators
for accurate scientific computing
* AI-driven or agentic methods for precision-aware analysis, tuning,
and transformation of scientific software
* Application studies in areas such as FEM, CFD, multiphysics, linear
algebra, and AI-for-science workflows
* Benchmarking and evaluation methodologies that jointly consider
performance, energy efficiency, and numerical fidelity
Proceedings
===========
The final papers will be published in the SC Workshops Proceedings.
Submissions and Format
======================
Authors are invited to submit manuscripts in English as technical
papers of 4 to 8 pages in 2-column format (U.S. letter, 8.5" x 11"),
excluding references, using the IEEE proceedings template
(https://urldefense.us/v3/__https://www.ieee.org/conferences/publishing/templates__;!!G_uCfscf7eWS!eF1k1tH5b9dYBXk-hbTV5ikgSyJAagwH2nH2UQwOkaXihCIS1jwO4dpWgKwvlcL_TSGvYxoSvZ4AG9mmchUQpA$ <https://urldefense.us/v3/__https://gcc02.safelinks.protection.outlook.com/?url=https*3A*2F*2Furldefense.com*2Fv3*2F__https*3A*2Furldefense.us*2Fv2*2Furl*3Fu*3Dhttps-3A__www.ieee.org_conferences_publishing_templates*26d*3DDwQGaQ*26c*3Dv4IIwRuZAmwupIjowmMWUmLasxPEgYsgNI-O7C4ViYc*26r*3DSF2YipDJY2dwSsQ76LTjoA*26m*3DA3s89obSbCMxdbLaCER87thVpSoAAnPRoA1Iffm8fR1W5sR3wPm6lr4PK43yXV4e*26s*3D61tDGRcstomzJGrbxlGzvijoA0RG9KJhrjlM3aQWVC4*26e*3D__*3B!!JmPEgBY0HMszNaDT!snH5UIqSaLOHYdR2rJpyNO7BgXs2VzjRLpn4sqoOMC2B0GM9MGTmkN1LghMPKXXwQAVfK3uUzg0*24&data=05*7C02*7Chpc-announce*40mcs.anl.gov*7Cba702276beb84e2647a108dee754e6ac*7C0cfca18525f749e38ae7704d5326e285*7C0*7C0*7C639202549038026959*7CUnknown*7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ*3D*3D*7C0*7C*7C*7C&sdata=xzmHTy5Ke4YABorPIgBXRmSYIpuGJqZFf0UvVVHCq7s*3D&reserved=0__;JSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUl!!G_uCfscf7eWS!eF1k1tH5b9dYBXk-hbTV5ikgSyJAagwH2nH2UQwOkaXihCIS1jwO4dpWgKwvlcL_TSGvYxoSvZ4AG9lnA9npzQ$ >). Submissions
are double-blind. Papers must be submitted via the SC'26 Submissions
Portal (https://urldefense.us/v3/__https://submissions.supercomputing.org__;!!G_uCfscf7eWS!eF1k1tH5b9dYBXk-hbTV5ikgSyJAagwH2nH2UQwOkaXihCIS1jwO4dpWgKwvlcL_TSGvYxoSvZ4AG9kM17_K8g$ <https://urldefense.us/v3/__https://gcc02.safelinks.protection.outlook.com/?url=https*3A*2F*2Furldefense.com*2Fv3*2F__https*3A*2Furldefense.us*2Fv2*2Furl*3Fu*3Dhttps-3A__submissions.supercomputing.org*26d*3DDwQGaQ*26c*3Dv4IIwRuZAmwupIjowmMWUmLasxPEgYsgNI-O7C4ViYc*26r*3DSF2YipDJY2dwSsQ76LTjoA*26m*3DA3s89obSbCMxdbLaCER87thVpSoAAnPRoA1Iffm8fR1W5sR3wPm6lr4PK43yXV4e*26s*3DZADakUcIohTPQ8JgTZOPk43iajMzr44d-Jm7grBqGac*26e*3D__*3B!!JmPEgBY0HMszNaDT!snH5UIqSaLOHYdR2rJpyNO7BgXs2VzjRLpn4sqoOMC2B0GM9MGTmkN1LghMPKXXwQAVfBglJxT4*24&data=05*7C02*7Chpc-announce*40mcs.anl.gov*7Cba702276beb84e2647a108dee754e6ac*7C0cfca18525f749e38ae7704d5326e285*7C0*7C0*7C639202549038041955*7CUnknown*7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ*3D*3D*7C0*7C*7C*7C&sdata=R8Fo5peSNbjqwb2XOLO0AhlvvoFU5YUTX2t7ZZCyBqA*3D&reserved=0__;JSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUl!!G_uCfscf7eWS!eF1k1tH5b9dYBXk-hbTV5ikgSyJAagwH2nH2UQwOkaXihCIS1jwO4dpWgKwvlcL_TSGvYxoSvZ4AG9lJhleTfg$ >) under SC26 Workshop:
HCLH'26: High-Accuracy Computing on Low-Precision Hardware.
Organizers
==========
Reet Barik, Argonne National Laboratory (ANL)
Aditya Kashi, Oak Ridge National Laboratory (ORNL)
Hao Lu, Oak Ridge National Laboratory (ORNL)
Piotr Luszczek, MIT Lincoln Laboratory
Paul Lin, NVIDIA Corporation (NVIDIA)
Balavignesh Vemparala, Synopsys, Inc.
Contact
=======
Please address workshop questions to:
Reet Barik (rbarik at anl.gov<mailto:rbarik at anl.gov>)
Aditya Kashi (kashia at ornl.gov<mailto:kashia at ornl.gov>)
-Reet
------------------------
Reet Barik, PhD
Postdoctoral Appointee
Argonne Leadership Computing Facility
rbarik at anl.gov<mailto:rbarik at anl.gov>
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