18th IEEE International Workshop on High Performance Computational Biology
May 20, 2019
Rio de Janeiro, Brazil
http://www.hicomb.org/

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 contributed papers 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For peer-reviewed papers, we invite authors to submit original and previously unpublished work that are at the interface between the "pillars" of modern day computational life sciences and HPC. For a submission to be considered, it should span at least one area from each of these two pillars. 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, error correction, genome annotation)
- Computational structural biology (protein structure, RNA structure)
- Functional genomics (transcriptomics, RNAseq/microarrays, 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)
- Phylogeny (phylogenetic tree reconstruction, molecular evolution)
- Microbes and microbiomes (taxonomical binning, 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)

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)
- 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)
- Scientific workflows (data management, data wrangling, automated workflows, productivity)
- Empirical evaluations (performance modeling, case-studies)

Submission guidelines:
To submit a paper, please upload a PDF file through Easy Chair at the HiCOMB 2019 Submission Site: https://easychair.org/conferences/?conf=hicomb2019
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. Proceedings of the workshops will be distributed at the conference and are submitted for inclusion in the IEEE Xplore Digital Library after the conference.

New this year: The workshop organizers plan to invite authors of accepted HiCOMB 2019 papers to submit extended versions of their papers to a special issue of a reputed parallel and distributed computing journal. More information about the special issue will be available soon.

Program Chair:
Kamesh Madduri, Pennsylvania State University

General Chairs:
Alba Cristina M. A. de Melo, University of Brasilia
Ananth Kalyanaraman, Washington State University

Program Committee:
Mukul Bansal, University of Connecticut
Mario Cannataro, University Magna Gracia of Catanzaro
Jose Cecilia, Universidad Catolica de Murcia
Somali Chaterji, Purdue University
Tim Clark, University of Virginia
Sally Ellingson, University of Kentucky
Oliver Eulenstein, Iowa State University
Xin Gao, King Abdullah University of Science and Technology
Sandra Gesing, University of Notre Dame
Imran Haque
Fumihiko Ino, Osaka University
Seunghwa Kang, NVIDIA
Marghoob Mohiyuddin, Roche Sequencing Solutions
Fahad Saeed, Florida International University
Bertil Schmidt, Johannes Gutenberg University Mainz
Mingfu Shao, Pennsylvania State University
Hari Sundar, University of Utah
James Taylor, Johns Hopkins University
Joshua Welch, University of Michigan
Bojian Xu, Eastern Washington University
Jae-Seung Yeom, Lawrence Livermore National Laboratory
Wenjin Zhou, University of Massachusetts Lowell