[hpc-announce] CFP: Workshop on Benchmarking Machine Learning Workloads on Emerging Hardware

[Murali Emani]

Workshop on Benchmarking Machine Learning Workloads on Emerging Hardware

To be held virtually along with Fourth Conference on Machine Learning
and Systems (MLSys)
April 7, 2021

https://memani1.github.io/mlbench21

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Overview:
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With evolving system architectures, hardware and software stack,
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 mapping.  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) what novel aspects of
hardware, such as heterogeneity in compute, memory, and bandwidth,
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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Submissions:
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We solicit both full papers (8-10 pages) and short/position papers
(4-pages). The submissions are not double-blinded, the author names
need to be included. The authors will need to mark any conflicts of
interest with PC members at the submission site. The page limit
includes figures, tables and appendices excluding references. Please
use standard LaTeX or word ACM templates. All submissions will need to
be made via EasyChair
(https://easychair.org/conferences/?conf=mlbench21). 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. We will publish all accepted
papers in the workshop webpage.

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Important Dates:
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Submission Deadline: March 5, 2021
Acceptance Notification: March 15, 2021
Workshop Date: April 7, 2021
All deadlines are at midnight anywhere on earth (AoE), and are firm.

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Organizing Committee:
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Tom St. John, Cruise (Email: tomstjohn617 at gmail.com)
Murali Emani, Argonne National Laboratory (Email: memani at anl.gov)

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Program Committee:
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To be announced