[hpc-announce] CFP: 23rd IEEE HiCOMB Workshop at IPDPS 2024 -Submission deadline extended to February 8, 2024

[Priyanka Ghosh]

CALL FOR PAPERS: HiCOMB 2024


23rd IEEE International Workshop on High Performance Computational
Biology, to be held in conjunction with IPDPS 2024.

May 27, 2024 San Francisco, CA, USA

Workshop website: http://hicomb.org/


Scope:

The goal of the HiCOMB workshop is to showcase novel High Performance
Computing (HPC) research and technologies to solve data- and
compute-intensive problems arising from all areas of computational and
biomedical life sciences. We invite authors to submit original and
previously unpublished work from all areas of biology that can benefit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
================================


We are accepting 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 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.

Please look at the workshop website (link above) for details on topics
of interest and the submission link.



================================
Important Dates
================================
Please note: All deadlines are midnight Anywhere on Earth


Paper submission deadline (for all categories): February 8, 2024 (extended)
Author notification: February 22, 2024
Final camera-ready papers due: February 29, 2024

Workshop Date: May 27, 2024

================================
Workshop Committees
================================

Organizing Committee:

General Chairs
- Alba Cristina M. A. de Melo (Department of Computer Science,
University of Brasilia)
- Ananth Kalyanaraman (School of EECS, Washington State University)

Program Chair:
- Priyanka Ghosh (National Center for Biotechnology Information, NIH)

Steering Committee:
- Srinivas Aluru, College of Computing, Georgia Institute of Technology
- David A. Bader, Department of Computer Science, New Jersey Institute
of Technology

Program Committee:
- Simon Roux (Joint Genome Institute)
- Giulia Guidi (Cornell University)
- Jason Gans (Los Alamos National Laboratory)
- Muaaz Gul Awan (Lawrence Berkeley National Laboratory)
- Sanjukta Bhowmick (University of North Texas)
- Benjamin Langmead (Johns Hopkins University)
- Ariful Azad (Indiana University)
- Jaroslaw Zola (State Univeristy of New York at Buffalo)
- Sarah Bruningk (ETH Zurich)
- Serghei Mangul (University of Southern California)
- Ryan Layer (University of Colorado Boulder)
- Vasimuddin Md (Intel Corp.)
- Ercument Cicek (Bilkent University)
- Daniel de Oliveira (Fluminense Federal University)
- Eneida Hatcher (National Center for Biotechnology Information)
- Tony C. Pan (Georgia Institute of Technology)


Contact: Priyanka Ghosh (priyanka.ghosh at nih.gov) with any questions.