In conjunction with the IEEE
International Parallel and Distributed Processing Symposium- The
in-person event has been canceled due to COVID-19. All paper
talks with videos and slides will be posted offline. More updates
to follows.
Quick Links
HiCOMB
2020 submission link - click
here
HiCOMB 2020 Call For Papers
The size and complexity of genome- and proteome-scale data sets and biomedical health data sets continue to grow at a furious 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 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For peer-reviewed papers, we invite authors to submit original and previously unpublished work that are at the intersection of the "pillars" of modern day computational life sciences and HPC.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, 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 the Linklings
HiCOMB 2020 submission link:
https://ssl.linklings.net/conferences/ipdps/?page=Submit&id=HiCOMBWorkshopFullSubmission&site=ipdps2020
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
3, 2020 (extended deadline) |
| Author notification: | February 28, 2020 |
| Final camera-ready papers deadline: | March 10, 2020 |
| Workshop: | May 18, 2020 |
Program Committee
Gowtham Atluri, University of Cincinnati
Mukul Bansal, University of Connecticut
Aydin Buluc, Lawrence Berkeley National Laboratory; University of
California, Berkeley
Rayan Chikhi, University of Lille
Saliya Ekanayake, Lawrence Berkeley National Laboratory
Sally Ellingson, University of Kentucky
Oliver Eulenstein, Iowa State University
Wu Feng, Virginia Tech
Evangelos Georganas, UC Berkeley
Arif Khan, Pacific Northwest National Laboratory
Daisuke Kihara, Purdue University
Penporn Koanantakool, Google LLC
Mehmet Koyuturk, Case Western Reserve University
Johannes Langguth, Simula Research Laboratory
Kamesh Madduri, Pennsylvania State University
Folker Meyer, Argonne National Laboratory
Hari Sundar, University of Utah
Michela Taufer, University of Tennessee, University of Delaware
Sharma Thankachan, University of Central Florida
Rio Yokota, Tokyo Institute of Technology
Program Chairs
- Amanda Randles, Duke University <amanda.randles@duke.edu>
- Ariful Azad, Indiana University Bloomington <azad@iu.edu>
General Chairs
- Alba Cristina M. A. de
Melo, Department of Computer Science, University of Brasilia
<alves@unb.br>
- Ananth Kalyanaraman, School of EECS, Washington State University <ananth@wsu.edu>
Steering Committee Members
- David A. Bader, College of Computing, Georgia Institute of Technology
- Srinivas Aluru, College of Computing, Georgia Institute of Technology