We invite authors to submit original and previously unpublished work at the intersection of the "pillars" of modern-day computational life sciences and HPC.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 to 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

Submissions to this IPDPS workshop can be in one of 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 font on 8.5x11-inch pages (IEEE conference style), including figures, tables, and references (see IPDPS Call for Papers for more details). 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.

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 Workshop paper submission link and select the HiCOMB Workshop or, alternatively, you can use this direct link. In either case, you will first have to log on to the Linkling conference management system.

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.

Program Chairs

• Vinod Rebello, Universidade Federal Fluminense <email>
• Alexandre Sena, Rio de Janeiro State University <email>

Program Committee

General Chairs

• Alba Cristina M. A. de Melo, Department of Computer Science, University of Brasilia <email>
  
• Ananth Kalyanaraman, School of EECS, Washington State University <email>

Steering Committee Members

• Srinivas Aluru, College of Computing, Georgia Institute of Technology
• David A. Bader, Department of Computer Science, New Jersey Institute of Technology

HiCOMB Archive