PMAM 2024

Introduction

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. 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.

Important Dates

Paper submission deadline : ~~January 1, 2024~~ January 8, 2024
Notification of acceptance : February 8, 2024
Camera-ready papers due : February 20, 2024
Workshop day: March 3, 2024

Objectives, scope and topics of the workshop

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

Names and contacts of key organizers

Steering Committee

Pavan Balaji
Facebook, USA
pavanbalaji.work at gmail dot com

Minyi Guo
Shanghai Jiaotong University, China
myguo at sjtu dot edu dot cn

Zhiyi Huang
University of Otago, New Zealand
hzy at cs dot otago dot ac dot nz

Min Si
Facebook, USA
minsi.atwork at gmail dot com

Kun Yang
University of Essex, UK
kunyang at essex dot ac dot uk

Organization co-chairs

Quan Chen
Shanghai Jiaotong University, China
chen-quan at sjtu dot edu dot cn

Xuan Du
BT Lab, UK
xuan.du at bt dot com

Zhiyi Huang
University of Otago, New Zealand
zhiyi.huang at otago dot ac dot nz

Programme Committee

Weihao Cui, National University of Singapore, Singapore
Andrew Ensor, Auckland University of Technology, New Zealand
Xin Hu, Chinese Academy of Science, China
Palden Lama, University of Texas at San Antonio, USA
He Li, Muroran Institute of Technology, Japan
Shigang Li, ETH, Zurich, Switzerland
Chen Liu, Clarkson University, USA
Xin Jin, Peiking University, China
Kavitha Madhu, Argonne National Laboratory, USA
Oliver Sinnen, University of Auckland, New Zealand
Peter Strazdins, Australian National University, Australia
Shixuan Sun, Shanghai Jiao Tong University, China
Xiaoxin Tang, Shanghai University of Finance and Economics, China
Esma Yildirim, Queensborough Community College of CUNY, USA
Amelie Chi Zhou, Shenzhen University, China

Manuscript submission

Papers reporting original and unpublished research results and experience are solicited. All paper submissions will be handled electronically via Hotcrp: https://pmam24.hotcrp.com.

Papers must not exceed 10 pages in standard SIGPLAN proceedings format (\documentclass[sigplan,screen]{acmart}). The Latex template is available at here.

Authors must submit their paper through Hotcrp: https://pmam24.hotcrp.com. If you have problems accessing the system, e-mail your submission to: pmam2024 at lists dot otago dot ac dot nz

Proceedings

All accepted papers will be published in the PMAM 2024 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 ParCo (Elsevier's Parallel Computing).

Registration

Information about registration at PPoPP 2024 main website.

Contact Us

For further information regarding the workshop and paper submission, please send your request or enquiry to:
pmam2024 at lists dot otago dot ac dot nz