23rd IEEE International Workshop on High Performance Computational Biology
May 27, 2024
San Francisco, California,  USA

   In conjunction with the IEEE International Parallel and Distributed Processing Symposium

Announcements:


Confirmed Keynote and Invited Speakers

TBA


HiCOMB 2024 Call For Papers

The size and complexity of genomic and biomedical big data continues to grow at a exponential pace, and the analysis of these complex, noisy, data sets demands efficient algorithms and high performance computing architectures. Hence, high-performance computing (HPC) has become an integral part of research and development in bioinformatics, computational biology, and medical and health informatics. The goal of the HiCOMB workshop is to showcase 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 as well as invited talks from reputed researchers in the field.

For peer-reviewed papers, we invite authors to submit original and previously unpublished work that are at the intersection of the "pillars" of modern day computational life sciences and HPC.  More specifically, we encourage submissions from all areas of biology that can benefit from HPC, and from all areas of HPC that need new development to address the class of computational problems that originate from biology.

Areas of interest within computational life sciences include (but 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

To submit a paper, please upload a PDF file through the IPDPS 2024 Linklings submission link and select HiCOMB Workshop:
https://ssl.linklings.net/conferences/ipdps/?page=Submit&id=HiCOMBWorkshopFullSubmission&site=ipdps2024

IPDPS workshops can have submission 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 using 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). All papers will be reviewed by three or more referees. This year, the authors of the accepted papers will be given a choice on whether to have the paper appear in the IPDPSW Proceedings (which will be digitally indexed and archived as part of the IEEE Xplore Digital Library). If the authors choose not to make it part of the proceedings, then 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 submission deadline
(for all categories):

February 1, 2024 February 8, 2024
Author notification: February 22, 2024 February 29, 2024
Final camera-ready papers deadline: February 29, 2024 March 07, 2024
Workshop: May 27, 2024 (Monday)

Program Chair

Program Committee

General Chairs

Steering Committee Members


HiCOMB Archive

22nd International Workshop on High Performance Computational Biology - HiCOMB 2023
21st International Workshop on High Performance Computational Biology - HiCOMB 2022
20th International Workshop on High Performance Computational Biology - HiCOMB 2021
19th International Workshop on High Performance Computational Biology - HiCOMB 2020
18th International Workshop on High Performance Computational Biology - HiCOMB 2019
17th International Workshop on High Performance Computational Biology - HiCOMB 2018
16th International Workshop on High Performance Computational Biology - HiCOMB 2017
15th International Workshop on High Performance Computational Biology - HiCOMB 2016
14th International Workshop on High Performance Computational Biology - HiCOMB 2015
13th International Workshop on High Performance Computational Biology - HiCOMB 2014
12th International Workshop on High Performance Computational Biology - HiCOMB 2013
11th International Workshop on High Performance Computational Biology - HiCOMB 2012
10th International Workshop on High Performance Computational Biology - HiCOMB 2011
9th International Workshop on High Performance Computational Biology - HiCOMB 2010
8th International Workshop on High Performance Computational Biology - HiCOMB 2009
7th International Workshop on High Performance Computational Biology - HiCOMB 2008
6th International Workshop on High Performance Computational Biology - HiCOMB 2007
5th International Workshop on High Performance Computational Biology - HiCOMB 2006
4th International Workshop on High Performance Computational Biology - HiCOMB 2005
3rd International Workshop on High Performance Computational Biology - HiCOMB 2004
2nd International Workshop on High Performance Computational Biology - HiCOMB 2003
1st International Workshop on High Performance Computational Biology - HiCOMB 2002