[hpc-announce] 3rd Accelerator Architecture in Computational Biology and Bioinformatics workshop (in conjunction with HPCA-26): Call for papers

[Leonid Yavits]

3rd Accelerator Architecture in Computational Biology and Bioinformatics workshop (AACBB-2020)

February 23rd, 2020

 

In conjunction with 26th IEEE International Symposium on

High-Performance Computer Architecture (HPCA-2020) 

San Diego, USA

 

Workshop website

https://aacbb-workshop.github.io/

 

Submission link

https://easychair.org/conferences/?conf=aacbb2020

 

Submission deadline

December 15, 2019, EoD AoE

 

Notifications

December 25, 2019

 

Over the last decade, the advent of high-throughput sequencing techniques has brought exponential growth in biosequence database sizes. With increased throughput demand and popularity of computational biology tools, reducing time-to-solution during computational analysis has become a significant challenge in the path to scientific discovery.

Conventional computer architecture has been proven to be inefficient for computational biology and bioinformatics tasks. For example, 3rd generation de-novo assembly of a human genome may take hundreds of hours on a high performance computer. Hence, computational biology and bioinformatics increasingly rely on hardware accelerators.

In a typical application, the dominant portion of the runtime is spent in a small number of computational kernels, making it an excellent target for hardware acceleration. The combination of increasingly large datasets and high performance computing requirements makes computational biology a prime candidate to benefit from accelerator architecture research. Potential directions include 3D integration, near-data processing, automata processing and reconfigurable architectures.

This workshop will focus on the architecture and design of hardware accelerators for computational biology and bioinformatics problems. We plan to present and discuss a variety of acceleration techniques, accelerator architectures and their implications on the development of computational biology.

 

Submission Guidelines

Interested authors are encouraged to submit papers (2-5 pages) through EasyChair: https://easychair.org/conferences/?conf=aacbb2020

 

The full version should be a PDF file similar to HPCA26 submission format. For formatting instructions please refer to: https://www.hpca-conf.org/2020/hpca-2020-guidelines-for-submissions/

 

 

List of Topics

This workshop focuses on architecture and design of hardware and software accelerators for computational biology and bioinformatics problems.

Topics of interest include, but are not limited to the following:

    • Hardware and software algorithms/applications in the fields of computational biology, such as (but not limited to):

        ◦ Bioinformatics

        ◦ Genomics

        ◦ Proteomics

        ◦ Protein structure prediction

    • Bioinformatics and computational biology accelerator architecture and design based on (but not limited to):

        ◦ 3D memory-logic stack 

        ◦ Automata processing

        ◦ Near-data (in-memory) processing

        ◦ FPGAs and reconfigurable

    • Emerging memory technologies and their impact on bioinformatics and computational biology

    • Impact of bioinformatics and biology applications on computer architecture research

    • Bioinformatics and computational biology-inspired hardware/software trade-offs

 

 

Keynote Speakers

    • James Larus, Dean of the School of Computer and Communication Sciences at EPFL

    • Daniel Jacobson, Chief Scientist for Computational Systems Biology at the Oak Ridge National Laboratory 

    • Benedict Paten, UC Santa Cruz Genomics Institute 

 

 

Committees

Program Committee

    • Ananth Kalyanaraman, WSU

    • Can Alkan, Bilkent University

    • Engin Ipek, University of Rochester

    • Jason Cong, UCLA

    • Mattan Erez, UT Austin

    • Mircea Stan, UVA

    • Onur Mutlu, ETH/CMU

    • Ran Ginosar, Technion

    • Ronnie Ronen, Technion

    • Yuan Xie, UCSB 

Organizing committee

    • Leonid Yavits* (leonid.yavits at gmail.com)

    • Yatish Turakhia^ (yatisht at stanford.edu) 

    • Naor Granik* (naorgranik at gmail.com)

    • Sneha Goenka^ (gsneha at stanford.edu) 

* Department of Electrical Engineering, Technion 

^ Department of Electrical Engineering, Stanford University

 

Important Notes

Presenting a paper in the workshop does not preclude publication in other venues

 

Contact

All questions about submissions should be emailed to Leonid Yavits (leonid.yavits at gmail.com) 

 

 

 

 

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