[hpc-announce] [CFP] MLBench'23: Fourth Workshop on Benchmarking Machine Learning Workloads on Emerging Hardware

[Murali Emani]

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[MLBench'23] Fourth Workshop on Benchmarking Machine Learning
Workloads on Emerging Hardware
To be held with the Sixth Conference on Machine Learning and Systems
(MLSys) on June 8, 2023
                                                        Miami, FL, USA
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About
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With evolving system architectures, hardware and software stacks,
diverse machine learning (ML) workloads, and data, it is important to
understand how these components interact with each other. Well-defined
benchmarking procedures help evaluate and reason the performance gains
with ML workload-to-system mappings. We welcome all novel submissions
in benchmarking machine learning workloads from all disciplines, such
as image and speech recognition, language processing, drug discovery,
simulations, and scientific applications.

Key problems that we seek to address are:
(i) which representative ML benchmarks cater to workloads seen in
industry, national labs, and interdisciplinary sciences;
(ii) how to characterize the ML workloads based on their interaction
with hardware;
(iii) which novel aspects of hardware, such as heterogeneity in
compute, memory, and networking, will drive their adoption;
(iv) performance modeling and projections to next-generation hardware.

Along with selected publications, the workshop program will also have
experts in these research areas presenting their recent work and
potential directions to pursue.

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Call for Papers
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We solicit both full papers (8-10 pages) and short/position papers
(4-6 pages). Submissions are not double-blind (author names must be
included). The page limit includes figures, tables, and appendices,
but excludes references. Please use standard LaTeX or Word ACM
templates. All submissions will need to be made via EasyChair
(submission website:
https://easychair.org/conferences/?conf=mlbench23). Each submission
will be reviewed by at least three reviewers from the program
committee. Papers will be reviewed for novelty, quality, technical
strength, and relevance to the workshop.

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Important dates
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Submission Deadline: April 3, 2023
Acceptance Notification: April 14, 2023
Workshop date: June 8, 2023
All deadlines are at midnight anywhere on earth (AoE), and are firm.

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Organization
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Organizing Committee
Tom St. John, OctoML (tomstjohn617 at gmail.com)
Murali Emani, Argonne National Laboratory (memani at anl.gov)
Wenqian Dong, Florida International University (wong at fiu.edu)

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Program Committee
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Oana Balmau (McGill University)
Steven Farrell (Lawrence Berkeley National Laboratory)
Srivatsan Krishnan (Harvard)
Jae W. Lee (Seoul National University)
Dong Li (UC Merced)
Qian Li (Stanford)
Sid Raskar (Argonne National Laboratory)
Karthik Swaminathan (IBM)
Dingwen Tao (Indiana University)
Yu "Emma" Wang (Google)
Bo Yuan (Rutgers)


Thanks,
Murali