[hpc-announce] PMAM 2022 CFP -- The 13th International Workshop on Programming Models and Applications for Multicores and Manycores

[Guo, Yanfei]

Dear Zhiyi,

It seems your email is not subscribed with hpc-announce. The mailing list only accept posts from subscribed addresses.

Best,

Yanfei Guo

From: Zhiyi Huang <hzy at cs.otago.ac.nz>
Date: Sunday, January 23, 2022 at 2:50 PM
To: Guo, Yanfei <yguo at anl.gov>
Cc: Hpc Announce <hpc-announce at mcs.anl.gov>, hpc-announce-owner at mcs.anl.gov <hpc-announce-owner at mcs.anl.gov>
Subject: PMAM 2022 CFP -- The 13th International Workshop on Programming Models and Applications for Multicores and Manycores
Dear Yanfei,
Happy New Year!
Could you please help circulate this CFP to the hpc-announce list? It
seems it does not work for me.
Many thanks for your help.
Best regards,
Zhiyi

===================
The 13th International Workshop on Programming Models and Applications
for Multicores and Manycores will be co-located with the PPoPP 2022
conference in February 12 -- 16 February, 2022 virtual/online


Rapid advancements in multicore and chip-level multi-threading
technologies open new challenges and make multicore systems a part of
the computing landscape. From high-end servers to mobile phones,
multicores and manycores are steadily entering every single aspect of
the information technology.

However, most programmers are trained in sequential programming, yet
most existing parallel programming models are prone to errors such as
data race and deadlock. Therefore, to fully utilize multicore and
manycore hardware, parallel programming models that allow easy
transition of sequential programs to parallel programs with good
performance and enable development of error-free codes are urgently
needed.

This workshop is dedicated primarily to gather researchers and
practitioners addressing the main challenges and share experiences in
the emerging multicore and manycore software engineering and distributed
programming paradigm. This workshop aims to provide a discussion forum
for people interested in programming environments, models, tools and
applications specifically designed for parallel multicore and manycore
hardware environments. Selected best papers of PMAM will be considered
for publication in a special issue of highly ranked journal.

The program committee cordially invites any novel research ideas in (but
not limited to) the following topics:

programming models and systems for multicore, manycore, and clusters of
multicore/manycore
parallel machine learning and AI algorithms
parallel resource management on large-scale datacenters
multicore and manycore software engineering
parallel and distributed algorithms on GPU, FPGA, and multicore clusters
parallel libraries and frameworks
performance analysis, efficiency and effectiveness
massively parallel processing on multicore/manycore systems and clusters
automated parallelization and compilation techniques
debugging and performance autotuning tools and techniques for
multicore/manycore applications
parallel algorithms, applications and benchmarks on multicore/manycore
systems
runtime power/energy management on multicore/manycore systems and
clusters
fault tolerance and resilience


Proceedings

All accepted papers will be published in the PMAM 2022 proceedings by
the ACM Digital Library, and will be included in the Elsevier databases
Scopus and Compendex (EI indexed).

Selected best papers of PMAM will be considered for publication in a
special issue of CC-PE.


Important Dates

Paper submission deadline : February 15, 2022
Notification of acceptance : March 15, 2022
Camera-ready papers due : March 25, 2022
Workshop day: April 2, 2022


Papers reporting original and unpublished research results and
experience are solicited. All paper submissions will be handled
electronically via Hotcrp: https://pmam22.hotcrp.com


Papers must not exceed 10 pages in standard ACM two-column conference
format (preprint mode, with page number and the 9pt template).

Authors must register and submit their paper through the online
submission system. If you have problems accessing the system, e-mail
your submission to:

pmam2022 at lists dot otago dot ac dot nz

For more details, please refer to:

www.cs.otago.ac.nz/pmam2022<http://www.cs.otago.ac.nz/pmam2022>

For enquiries, please contact:

pmam2022 at lists dot otago dot ac dot nz


--
Zhiyi Huang
Associate Professor
Dept of Computer Science
University of Otago
Dunedin, New Zealand