[hpc-announce] [Call for Paper] MTSA'23 workshop co-located with SC23

Ivy Peng ivybopeng at gmail.com
Wed Jul 5 14:50:29 CDT 2023

Call for Paper
MTSA'23: Workshop on Memory Technologies, Systems, and Applications
(Previously MCHPC: Workshop on Memory Centric High-Performance Computing)
Co-located at SC23 - Denver, Colorado, USA - November 13th

Website:  https://passlab.github.io/mtsa/mtsa2023/
Full CFP: https://passlab.github.io/mtsa/mtsa2023/CallForPapers_MTSA2023.pdf

The growing disparity between compute and memory speed, known as the
memory wall problem, has been one of the most critical and
long-standing challenges in the computing industry. The prevalence of
heterogeneous computing, the ongoing expansion of the memory
hierarchy, and the advent of disaggregated architectures have
considerably expanded the scope of this problem. Computer
architecture, operating systems, storage systems, performance models,
tools, and applications themselves are being enhanced or even
redesigned to address the performance, programmability, and energy
efficiency challenges of the increasingly complex and heterogeneous
memory systems. Exploring the intersection of these research areas
will enable cohesive and synergistic development and collaboration on
the future of memory technologies, systems, and applications. MTSA’23:
Workshop on Memory Technologies, Systems, and Applications aims to
bring together researchers from industry, government labs, and
academia concerned with the challenges of efficiently using existing
and emerging memory systems.
Topics of Interests include:
 + Software, hardware, and co-design approaches for
processing-in-memory and near-memory computing technologies.
 + All aspects of emerging memory technologies, including
disaggregated memory, cache-coherent interconnects e.g., CXL,
heterogeneous memory, etc.
 + Programming interfaces or language extensions for emerging memory
technologies and systems
 + Compiler, runtime, and system techniques for efficient
memory-centric computing
 + OS, storage and file systems, and I/O systems support for existing
and emerging memory technologies, especially supporting the blurred
boundary between memory and storage.
 + Tools, modeling, evaluation, and case study of memory system
behavior and its impact on application performance
 + Application development and optimization for new memory
architecture and technologies.
 + Energy and power efficiency in memory technologies.

Important Dates

Submission Deadline -- August 04, 2023
Notifications -- September 1, 2023
Camera Ready Papers -- October 6, 2023, including Copyright Form
Workshop -- November 13, 2023

Tyler Allen (University of North Carolina at Charlotte, USA)
Ivy B Peng (KTH Royal Institute of Technology, Sweden)
Ron Brightwell (Sandia National Laboratory, USA)
Maya B Gokhale (Lawrence Livermore National Laboratory, USA)

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