The ACM International Symposium on High-Performance Parallel and
Distributed Computing (HPDC) is the premier annual conference for
presenting the latest research on the design, implementation, evaluation,
and use of parallel and distributed systems for high-end computing. The
31st HPDC will take place in Minneapolis, Minnesota, June 27-July 1, 2022.
Submissions
Submissions are now open here (hpdc22.hotcrp.com).
Deadlines
Abstracts due: January 20th 11:59pm Anywhere on Earth (AoE), 2022
Papers due: January 27th 11:59pm Anywhere on Earth (AoE), 2022
Author notifications: March 31st, 2022
Camera-ready version: April 21, 2022
Conference dates: June 27 - July 1, 2022
Scope and Topics
Submissions are welcomed on high-performance parallel and distributed
computing (HPDC) topics including but not limited to: clouds, clusters,
grids, big data, massively multicore, and extreme-scale computing systems.
Experience reports of operational deployments that provide significantly
novel insights for future research on HPDC applications and systems are
also welcome.
In the context of high-performance parallel and distributed computing, the
topics of interest include, but are not limited to:
Datacenter, HPC, cloud, serverless, and edge/IoT computing platforms
Heterogeneous computing accelerators and non-volatile memory systems
File and storage systems, I/O, and data management
Operating systems and networks
System software and middleware for parallel and distributed systems
Programming languages and runtime systems
Big data stacks and big data ecosystems
Scientific applications, algorithms, and workflows
Resource management and scheduling
Performance modeling, benchmarking, and engineering
Fault tolerance, reliability, and availability
Operational guarantees, risk assessment, and management
Novel post-Moore computing technologies including neuromorphic,
brain-inspired computing, and quantum computing.
New at HPDC 2022
New paper submission categories:
This year, submissions to HPDC can be made in one of the following two
categories: (1) regular papers, or (2) open-source tools and data papers.
The primary focus of "regular papers" should be to describe new research
ideas supported by experimental implementation and evaluation of the
proposed research ideas. The primary focus of "open-source tools and data"
should be to describe the design, development, and evaluation of new
open-source tools or novel data sources. Submissions in the "regular
papers" category are also encouraged to open-source their software or
hardware artifacts.
The authors are required to indicate the category of the paper as a part of
the submitted manuscript's title. The last line of the title should
indicate the paper type by using one of the two phrases (1) Paper Type:
Regular, or (2) Paper Type: Open-source tools and data paper.
Papers in the open-source tools and data papers category with relatively
shorter length (e.g., 6 pages) are welcome, if the contributions can be
well articulated and substantiated in 6 pages. However, all submissions in
the tool and data category have the flexibility of using the maximum
allowed number of pages, similar to the regular category papers.
The submissions in both categories will be evaluated to the same standards
in terms of novelty, scientific value, demonstrated usefulness, and
potential impact on the field. The nature of the contribution differs
between the two categories (new research idea vs. new open-source
tool/data) and papers will be evaluated based on the intended nature of the
contribution, as declared by the chosen paper category at the time of the
submission. The chosen category at the time of the submission can not be
changed after the submission deadline.
Suggested formatting for Introduction section of the paper
This year, HPDC authors are encouraged to structure their introduction
section of the paper in the following format (as subsections or headings).
The suggested length is two pages at maximum for this format.
[A] Motivation: Clearly state the objective of the paper and provide
(quantitative) support to motivate the specific problem your submission is
solving.
[B] Limitation of state-of-art approaches: Briefly review the most relevant
and most recent prior works. Clearly articulate the limitations of prior
works and how your approach breaks away from those limitations. A more
detailed discussion should be reserved for the related work section. But,
this section should be sufficient to help readers recognize the novelty of
your approach.
[C] Key insights and contributions: Briefly articulate the major insights
that enable your approach or make it effective. Clearly specify the novelty
of these insights and how they advance state-of-the-art. Describe the key
ideas of your approach and design. List the key contributions including
flagship empirical results and improvement over the prior art as applicable.
[D] Experimental methodology and artifact availability: Cl
