[hpc-announce] IEEE/SBC SBAC-PAD 2025 Call For Papers

[FRANCISCO JAVIER GARCIA BLAS]

(Apologies if you received duplicates of this CFP)

IEEE/SBC SBAC-PAD 2025 Call For Papers


The 37th IEEE/SBC Symposium on Computer Architecture and High Performance
Computing

28-31 October, 2025

Bonito, MS, Brazil

https://urldefense.us/v3/__https://sbac-pad2025.ufms.br/__;!!G_uCfscf7eWS!dh-eiaPX0jmFNU1brABdMYundUN58ScdnJzlZygKM0oL-HFaiTEHk3lfRou8V3qV43DYha2GpczIQvI5I0vh1ow8AA$  (under construction)


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 technologies. 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**, 202**5 (AoE)*

*Paper submission deadline:*

*June **16**th, 202**5 (AoE)*

*Rebuttal period:*

*July 31st – August **4th**, 202**5   *

*Author notification:*

*August 11th, 202**5*

*Camera-ready submission:*

*September **8**th, 202**5*



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;

·               Real-world applications and case studies;

·               Reconfigurable, resilient, and fault-tolerant systems;

·               Security and privacy in CA and HPDC;

·               Workflow systems.



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 - JPDC.



*Paper submission*



Papers submitted to SBAC-PAD 2025 must present original research results
and must not have been published or concurrently be submitted anywhere
else. Submissions should be made via the JEMS system (submission link TBD).



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
https://urldefense.us/v3/__http://www.ieee.org/conferences/publishing/templates.html__;!!G_uCfscf7eWS!dh-eiaPX0jmFNU1brABdMYundUN58ScdnJzlZygKM0oL-HFaiTEHk3lfRou8V3qV43DYha2GpczIQvI5I0vXd-WFow$ 
<https://urldefense.us/v3/__http://www.ieee.org/conferences_events/conferences/publishing/templates.html__;!!G_uCfscf7eWS!dh-eiaPX0jmFNU1brABdMYundUN58ScdnJzlZygKM0oL-HFaiTEHk3lfRou8V3qV43DYha2GpczIQvI5I0vG2y4Fhw$ >.
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 2025 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:

·               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 use anonymous
citations.



*CONFERENCE ORGANISATION*



*General Chairs*



Edson Cáceres (UFMS, Brazil)

Ricardo Santos (UFMS, Brazil)

Rodolfo Azevedo (UNICAMP, Brazil)



*Technical Program Co-Chairs*



Cesar A. F. De Rose  (PUCRS, Brazil)

Odej Kao (TU-Berlin, Germany))



*Track Chairs*



System Software Track:
                                              Lucia Drummond (Federal
Fluminense University, Rio de Janeiro, Brazil)

Computer Architecture Track:                                           José
Moreira (IBM Thomas J. Watson Research Center, USA)

Networking and Distributed Systems Track:               Marco Netto
(Microsoft Azure HPC, USA)

Parallel Applications and Algorithms Track:               Matthias Müller
(RWTH Aachen, Germany)

Performance Evaluation Track:
Hans-Ulrich
Heiss (TU-Berlin, Germany)

-- 
________________________________________________________
Dr. Javier García Blas
Associate Professor
Computer Architecture, Communications and Systems Area.
Computer Science Department. UNIVERSIDAD CARLOS III DE MADRID
Avda. de la Universidad, 30
28911 Leganés (Madrid), SPAIN
e-mail: fjblas at inf.uc3m.es
Phone:(+34) 916249143
FAX: (+34) 916249129
________________________________________________________