5th WORKSHOP ON HETEROGENEOUS MEMORY SYSTEMS (HMEM 2024)

Co-located with IEEE Cluster 24, Kobe, Japan, September 24th, 2024


https://hmem-workshop.github.io


Overview and scope
====================

The 5th HMEM workshop serves as a forum to present and discuss ongoing research around heterogeneous memory systems. The scope of the workshop encompasses all the layers of system and software stack, from computer architectures, operating system, middleware, programming models, runtime systems, tools, to applications.

Heterogeneous memory infrastructure design is becoming an emerging trend in today’s HPC scene. Different memory technologies are maturing, such as HBM, NVM/persistent memories, and also emerging, such as those based on CXL. These aim at helping mitigate the memory bottleneck by offering opportunities for benefiting applications that process large amounts of data, e.g., offering small but fast memory subsystems to place frequently accessed data structures. Such opportunities may be realized across all the layers of system and software stack: from computer architectures, operating system, middleware, programming models, runtime systems, tools, up to applications.

As in previous years, the Workshop on Heterogeneous Memory Systems (HMEM) will bring together different research efforts and expertise to the end of integrating different approaches and democratizing the use of heterogeneous memory systems to benefit applications not only in terms of performance, but also energy efficiency and cost tradeoffs. The main goal of the workshop is to push the research frontiers forward by exchanging knowledge and debating ideas through featured talks, technical paper presentations, and interactive discussions. Overall, topics of interest include, but are not limited to:

Data allocation and placement techniques in heterogeneous memory systems
Caching for heterogeneous memory systems
Programming models and tools for complex/heterogeneous memory hierarchies
Software-defined far memories
Disaggregated memory and in-memory computing
Data movement in heterogeneous memory systems
Memory consistency and persistency models
Data structures for heterogeneous memory infrastructures
Abstractions and support for failure-atomicity in persistent memory
Emerging memory architectures and system configurations
Use cases, early experiences and performance evaluations


Submissions
====================

The authors of accepted submissions will give a talk at the workshop and participate in the closing discussion panel.

The accepted submissions will be included in the IEEE Cluster 2024 proceedings. The authors of accepted submissions can also opt out of publication, and only give a talk.

Submissions must use the template for the IEEE Cluster 2024 proceedings. Three kinds of submissions are possible:

Full papers: 8 pages (including references), must not include author names (double-blind review).

Short papers: 4 pages (including references), must not include author names (double-blind review).

Abstracts of previous publications: 2 pages, which summarize recently accepted/published at top-tier conferences/journals. In this case, the author names and references to the published works should be included in the abstract. This kind of submission will not be published in the proceedings.

Submit your paper here:

https://easychair.org/conferences/?conf=hmem2024


Important dates
====================

Submission deadline: July 10, 2024
Notification of acceptance: July 24, 2024
Camera-ready deadline: August 9, 2024
Workshop: September 24, 2024

Time Zone: AOE (Anywhere One Earth)

Organization committee
====================
Harald Servat, Intel
João Barreto, INESC-ID, Universidade de Lisboa
Antonio J. Peña, Barcelona Supercomputing Center (BSC)


Program commitee
====================

Adrian Jackson, EPCC, UK
Gulay Yalcin, Abduallah Gul University, Turkey
Maciej Maciejewski, Huawei, Poland
Petar Radojkovic, Barcelona Supercomputing Center
Thaleia Doudali, IMDEA, Spain
Tim Dykes, HPE, UK
Ying Huang, Intel, China
Ivy Peng, LLNL, USA
Alexandro Baldassin, Universidade Estadual Paulista, Brasil