[hpc-announce] CfP: POAT2023 (Performance Optimization and Auto-Tuning of Software on Multicore/Manycore Systems) in conjunction with MCSoC-2023

[Daichi Mukunoki]

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CALL FOR PAPERS 
Special Session:
Performance Optimization and Auto-Tuning of Software 
on Multicore/Manycore Systems (POAT 2023)

In conjunction with the 16th IEEE International Symposium on 
Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2023)
Dec. 18-21, 2023, 
Singapore University of Technology and Design, Singapore

https://atrg.jp/poat/2023/
https://www.mcsoc-forum.org 
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* Overview
Multicore/manycore processors (CPUs, GPUs, AI accelerators, etc.), have become commonplace today and are used in a wide range of systems, from smartphones to supercomputers. Their architectures and configurations are diversifying and becoming increasingly complex. Performance optimization of programs on these state-of-the-art processors is becoming an increasingly significant challenge.

This special session in MCSoC covers the general topic of performance optimization on multicore/manycore systems “Performance” here could be not only computation speed, but also power efficiency, quality of computation (accuracy), and so on. Furthermore, this session hopes to discuss auto-tuning as an important technology for dealing with the complexity and diversity of multicore/manycore systems.

POAT is an extended successor to the special session formerly known as Auto-Tuning for Multicore and GPU (ATMG) (2012-2023).

* Topics of interest 
Topics of interest include, but are not limited to: 
    • Performance optimization of software on manycores: 
      for computational speed, energy efficiency, accuracy, etc.
    • Quantum computing using manycores 
      (quantum circuits simulators, quantum inspired annealing, etc.)
    • Mixed-precision computation and precision-tuning on manycores systems
    • Thread-parallelization / SIMD-vectorization on manycores systems
    • Auto-tuning and automatic code generation for manycores systems
    • Application of AI-accelerator 
      (or AI-oriented extensions on processors) to general-purpose computations
    • Code porting and benchmarking between different manycore systems
    • Tools / programming models / languages for performance on manycore systems
    • Challenges for heterogeneity on manycore systems
    • Manycores on FPGAs

* Submission
All contributions should be original, not published elsewhere, or intended to be published during the review period. Electronic Paper submission should not exceed 8 double-column IEEE format pages, including figures and references. Papers should be formatted as close as possible to the final format -double column, single-spaced, and Times or equivalent font of minimum, 10pt size. 

Every submitted paper will be evaluated by at least three reviewers (Single-blind peer review) in technical quality, originality, significance to the symposium, and organization. We encouraged authors to proofread and spell-check their papers before submission. The 16th IEEE MCSoC 2023 proceedings will be published by the IEEE Computer Society, which will be included in the Computer Society Digital Library CSDL and IEEE Xplore. All CPS conference publications are also submitted for indexing to EI’s Engineering Information Index, Compendex, ISI Thomson’s Scientific and Technical Proceedings, ISTP/ISI Proceedings, and ISI Thomson. 

Submit your paper online here: https://edas.info/N30718

* Important Dates (AoE)
    • Full Paper Submission: May 30, 2023
    • Acceptance Notification: August 10, 2023
    • Camera-ready Paper: August 20, 2023
    • Event Date: December 18-21, 2023

* Contact 
Program Chair: Daichi Mukunoki
RIKEN Center for Computational Science, Japan
daichi.mukunoki at riken.jp