[hpc-announce] [CFP] HiCOMB 2025
Vinod Rebello
vinod at ic.uff.br
Fri Dec 13 11:10:11 CST 2024
(Apologies if you received duplicates of this CFP)
HiCOMB 2025 Call For Papers
The 24th International Workshop on
High Performance Computational Biology
June 4, 2025
https://urldefense.us/v3/__http://hicomb.org__;!!G_uCfscf7eWS!eauesZyUpRoXrsFWO1xsyxPu3xF6pchGiTtymVuIouYeGoX_6dubxNLJHIjjyYvK6jBQc-ZqIBdcYYvMDKWT5f4$
to be held in conjunction with IPDPS 2025
June 3 to 7, 2025
Milan, Lombardy, Italy
The size and complexity of genomic and biomedical big data continue to grow
exponentially, and analysing these complex, noisy data sets demands
efficient algorithms and high performance computing architectures. Hence,
high-performance computing (HPC) has become integral to research and
development in bioinformatics, computational biology, and medical and
health informatics. For over 20 years, the HiCOMB workshop series has
showcased novel HPC research and technologies to solve data- and
compute-intensive problems arising from all areas of computational life
sciences. The workshop will feature a keynote talk from a leading
scientist, peer-reviewed paper presentations, and invited talks from
reputed researchers in the field.
We invite authors to submit original and previously unpublished work at the
intersection of the "pillars" of modern-day computational life sciences and
HPC. More specifically, we encourage submissions from areas of biology that
can benefit from HPC (for example, the use of artificial intelligence) or
innovations in the area of HPC that can help address computational problems
that originate from biology.
Areas of interest within computational life sciences include (but are not
limited to):
-
Biological sequence analysis (genome assembly, long/short read data
structures, read mapping, clustering, variant analysis, single cell, error
correction, genome annotation)
-
Computational structural biology (protein structure, RNA structure)
-
Functional genomics (transcriptomics, RNAseq/microarrays, single cell
analysis, proteomics, phospho-proteomics)
-
Systems biology and networks (biological network analysis, gene
regulatory networks, metabolomics, molecular pathways)
-
Tools for integrated multi-omics and biological databases (network
construction, modeling, link inference)
-
Computational modeling and simulation of biological systems (molecular
dynamics, protein structure/docking, dynamic models)
-
Phylogeny (phylogenetic tree reconstruction, molecular evolution)
-
Microbes and microbiomes (taxonomic binning, metagenomics,
classification, clustering, annotation)
-
Biomedical health analytics and biomedical imaging (electronic health
records, precision medicine, image analysis)
-
Biomedical literature mining (text mining, ontology, natural language
processing)
-
Computational epidemiology (infectious diseases, diffusion mechanisms)
-
Phenomics and precision agriculture (IoT technologies, feature
extraction)
-
Visualization of large-scale biomedical data and patient trajectories.
Areas of interest within HPC include (but are not limited to):
-
Parallel and distributed algorithms (scalable machine learning, parallel
graph/sequence analytics, combinatorial pattern matching, optimization,
parallel data structures, compression)
-
Biological data management, metadata standards such as compliance with
FAIR principles, AI-ready data processing
-
Data-intensive computing techniques
(communication-avoiding/synchronization-reducing techniques,
locality-preserving techniques, big data streaming techniques)
-
Parallel architectures (multicore, manycore, CPU/GPU, FPGA,
system-on-chip, hardware accelerators, energy-aware architectures,
hardware/software co-design)
-
Memory and storage technologies (processing-in-memory, NVRAM, burst
buffers, 3D RAM, parallel/distributed I/O)
-
Parallel programming models (libraries, domain-specific languages,
compiler/runtime systems)
-
Scalable AI/ML frameworks for biological systems, modeling, and analysis
-
Scientific workflows (data management, data wrangling, automated
workflows, productivity)
-
Scientific computing (numerical analysis, optimization)
-
Empirical evaluations (performance modeling, case studies)
Submission guidelines
IPDPS workshops can have submissions in three categories: regular papers
(up to 10 pages), short papers (up to 4 pages), and extended abstracts (1
page). Submitted manuscripts may not exceed ten (10) single-spaced
double-column pages with a 10-point size font on 8.5x11 inch pages (IEEE
conference style), including figures, tables, and references (see IPDPS
Call for Papers for more details
<https://urldefense.us/v3/__http://ipdps.org/ipdps2019/2019-call-for-papers.html__;!!G_uCfscf7eWS!eauesZyUpRoXrsFWO1xsyxPu3xF6pchGiTtymVuIouYeGoX_6dubxNLJHIjjyYvK6jBQc-ZqIBdcYYvMKb0Vz48$ >).
The IEEE conference style templates for MS Word and LaTeX provided by IEEE
eXpress Conference Publishing are available for download. See the latest
versions here: https://urldefense.us/v3/__https://www.ieee.org/conferences/publishing/templates.html__;!!G_uCfscf7eWS!eauesZyUpRoXrsFWO1xsyxPu3xF6pchGiTtymVuIouYeGoX_6dubxNLJHIjjyYvK6jBQc-ZqIBdcYYvM5KhMBl4$ .
Tools like ChatGPT, Grammarly, or other AI assistants may be used to
improve the readability of the paper submission. However, authors will be
held accountable for the accuracy of all information presented. IEEE
requires that the use of any AI-generated text be disclosed in the paper’s
Acknowledgements section. Any portion of the paper that contains
AI-generated text must have a citation to the AI system used to generate
the text.
To submit a paper, please upload a PDF file through the following IPDPS
2025 Linklings submission link and select the HiCOMB Workshop:
https://urldefense.us/v3/__https://ssl.linklings.net/conferences/ipdps/?page=Submit&id=HiCOMBWorkshopFullSubmission&site=ipdps2025__;!!G_uCfscf7eWS!eauesZyUpRoXrsFWO1xsyxPu3xF6pchGiTtymVuIouYeGoX_6dubxNLJHIjjyYvK6jBQc-ZqIBdcYYvMp-CBYPE$
All papers will be reviewed by three or more referees. Again this year, the
authors of the accepted papers may choose whether or not to have their
paper appear in the IPDPSW Proceedings (which will be digitally indexed and
archived as part of the IEEE Xplore Digital Library). If the authors opt not
to make it part of the proceedings, the paper will not be considered
archival. In either case, all accepted papers will be posted online on the
workshop website, and all accepted papers (archived or not) will need to
have an oral presentation at the workshop by one of the authors of the
paper.
Important Dates
Workshop paper submission deadline (for all categories):
January 24, 2025 11:59 pm, Anywhere on Earth (UTC -12)
Author notification:
February 24, 2025
Deadline to upload camera-ready versions of accepted papers:
March 6, 2025
Workshop date:
June 4, 2025 (Wednesday)
General Chairs
-
Alba Cristina M. A. de Melo, University of Brasilia, Brazil
-
Ananth Kalyanaraman, <https://urldefense.us/v3/__http://www.eecs.wsu.edu/*7Eananth__;JQ!!G_uCfscf7eWS!eauesZyUpRoXrsFWO1xsyxPu3xF6pchGiTtymVuIouYeGoX_6dubxNLJHIjjyYvK6jBQc-ZqIBdcYYvMlF86RSI$ > Washington
State University, USA
Program Chairs
-
Vinod Rebello, Fluminense Federal University, Brazil
-
Alexandre Sena, State University of Rio de Janeiro, Brazil
Program Committee (Preliminary)
-
Can Alkan, Bilkent University, Turkey
-
Mohammed Alser, ETH Zurich, Switzerland
-
Muaaz Gul Awan, Lawrence Berkeley National Laboratory, USA
-
Sanjukta Bhowmick, University of North Texas, USA
-
Sarah Bruningk, ETH Zurich, Switzerland
-
Priyanka Ghosh, National Institutes of Health, USA
-
Giulia Guidi, Cornell University, USA
-
Mehmet Koyuturk, Case Western Reserve University, USA
-
Ryan Layer, University of Colorado Boulder, USA
-
Serghei Mangul, University of Southern California, USA
-
Vasimuddin Md, Intel Corp., India
-
Enzo Rucci, National University of La Plata, Argentina
-
Fahad Saeed, Florida International University, USA
-
Bertil Schmidt, Johannes Gutenberg University Mainz, Germany
-
Leonid Yavits, Bar-Ilan University, Israel
-
Jaroslaw Zola, University at Buffalo, SUNY, USA
Steering Committee Members
-
Srinivas Aluru, Georgia Institute of Technology, USA
-
David A. Bader, New Jersey Institute of Technology, USA
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