[hpc-announce] CFP: SBAC-PAD 2023 - Last week for submissions
Vinod Rebello
vinod at ic.uff.br
Mon Jun 19 15:00:20 CDT 2023
Apologies if you receive this email multiple times.
SBAC-PAD 2023 Last Call For Papers
https://www.inf.pucrs.br/sbacpad2023/
The IEEE 35th International Symposium on Computer Architecture and High
Performance Computing (SBAC-PAD 2023) will take place from October 17th to
20th, 2023, in Porto Alegre, RS, Brazil.
SBAC-PAD is an annual international conference series, which presents the
latest trends, current research and developments, and novel tools and
applications in the fields of Computer Architecture, High-Performance
Computing, and Parallel and Distributed Computing. SBAC-PAD is open to
industry, faculty, researchers, practitioners, and undergraduate and
graduate students from around the world. Its scientific program is composed
of high-quality submitted papers, selected by a thorough peer review
process, and invited talks from renowned researchers.
Important dates
Abstract submission deadline:
June 9th, 2023 June 25th, 2023 AoE (FIRM)
Paper submission deadline:
June 16th, 2023 June 25th, 2023 AoE (FIRM)
Rebuttal period:
July 31st – August 2nd, 2023
Author notification:
August 11th, 2023
Camera-ready submission:
September 4th, 2023
The program committee will select the top-ranked papers as finalists, and
one paper will be selected during the conference as the Best Paper.
Selected papers will also be invited to submit an extended version to a
special issue of the Journal of Parallel and Distributed Computing.
Authors are invited to submit original manuscripts to one of five tracks
that address challenges in any of the following areas related to the fields
of Computer Architecture (CA) and High-performance and Distributed
Computing (HPDC). Topics of interest include (but are not limited to):
-
Application-specific systems;
-
Architecture and programming support for emerging domains:
(Big Data, Deep Learning, Machine learning, Cognitive Systems);
-
Artificial intelligence and machine learning methods for CA and HPDC,
and CA and HPDC for Artificial intelligence applications;
-
Benchmarking, performance modeling, analysis, and evaluation;
-
Blockchain and distributed ledgers
-
Cloud, cluster, and edge/fog computing systems;
-
Data-intensive workloads and tools;
-
Data management, storage, and I/O;
-
Embedded and pervasive systems;
-
GPUs, FPGAs, and accelerator architectures;
-
Languages, compilers, models, and tools for parallel and distributed
programming;
-
Modeling and simulation methodologies;
-
Operating systems and virtualization;
-
Parallel and distributed systems, algorithms, models, and applications;
-
Power and energy-efficient systems;
-
Predictive models to improve performance of scientific applications
-
Processing-in-memory or near-data processing technologies
-
Processor, cache, memory, storage, and network architecture;
-
Quantum computing in CA and HPDC;
-
Real-world applications and case studies;
-
Reconfigurable, resilient, and fault-tolerant systems;
-
Security and privacy in CA and HPDC;
-
Workflow systems.
Paper submission
Papers submitted to SBAC-PAD 2023 must present original research results
and must not have been published or concurrently submitted anywhere else.
Submissions should be made via the Easy Chair system using the submission
link:
https://easychair.org/conferences/?conf=sbacpad2023
Paper submissions must be in English, have 10 pages maximum (excluding the
references), and follow the IEEE conference manuscript formatting
guidelines for double-column text using a single-spaced 10-point font on
8.5 × 11-inch pages. Templates are available from
http://www.ieee.org/conferences/publishing/templates.html
<http://www.ieee.org/conferences_events/conferences/publishing/templates.html>.
Papers that do not meet these requirements might be rejected without a
review. To be published in the conference proceedings and to be eligible
for publication at the IEEE Xplore, one of the authors must register at the
full rate and present his/her work at the conference.
The SBAC-PAD 2023 submissions will undergo a double-anonymized review
process, where reviewers will not know the authors' identities, and
vice-versa. Therefore, authors should “anonymize” their submission by
adopting the following guidelines, otherwise papers will be rejected
without review:
-
The authors cannot include their names, affiliations, funding sources,
or acknowledgments in any part of the for-review version of their paper;
-
Self-references that are relevant to the work are allowed, but they
should not appear in the text in the first person. Instead, they should be
referenced in the third person, like “Smith et al. found that… [4].”, and;
-
For the authors’ own unpublished work, they need to use anonymous
citations.
General Chairs
Tiago Ferreto (PUCRS, Brazil)
Dalvan Griebler (PUCRS/SETREM, Brazil)
Cesar A. F. De Rose (PUCRS, Brazil)
Technical Program Co-Chairs and Track Chairs
Jay Lofstead (Sandia National Laboratories, USA)
Vinod Rebello (Universidade Federal Fluminense, Brazil)
Tracks
Track Chairs
Computer Architecture
Krishna Kavi
(University of North Texas, USA)
Distributed Systems, Networking, and Storage
Fabíola Greve
(Federal University of Bahia, Brazil)
Parallel Applications and Algorithms
Bertil Schmidt
(University of Mainz, Germany)
Performance Evaluation
Rafael Ferreira da Silva
(Oak Ridge National Laboratory, USA)
System Software
Josef Spillner
(Zurich University of Applied Sciences, Switzerland)
More information about the hpc-announce
mailing list