[hpc-announce] HPCA 2018 Workshop CFP: Accelerator Architecture in Computational Biology and Bioinformatics workshop

[Muhammad SHAFIQUE]

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*** Please forward to interested colleagues.  ***

*Accelerator Architecture in Computational Biology and Bioinformatics 
workshop (AACBB-2018)***

*In conjunction with 24^th IEEE International Symposium on 
High-Performance Computer Architecture (HPCA-2018) *

*Vienna, Austria, February 24, 2018***

Conference website http://hpca2018.ece.ucsb.edu/

Submission link https://easychair.org/conferences/?conf=aacbb201

Submission deadline        December 15, 2017

Over the last decade, the advent of high-throughput sequencing 
techniques brought an 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 is proven to be inefficient for 
computational biology and bioinformatics tasks. For example, aligning 
even several hundred DNA or protein sequences using progressive multiple 
alignment tools consumes several CPU hours on high performance computer. 
Hence, computational biology and bioinformatics rely on hardware 
accelerators to allow processing to keep up with the increasing amount 
of data generated from biology applications.

In a typical application, 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 make computational biology 
prime candidate to benefit from accelerator architecture research. 
Potential directions include 3D integration, near-data processing, 
automata processing, associative processing and reconfigurable 
architectures.

This workshop will focus on 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=aacbb2018.

The full version should be a PDF file in HPCA24 submission format. For 
formatting instructions please refer to: 
http://hpca2018.ece.ucsb.edu/pages/guidelines_for_submission.html

*List of topics:*

  * Impact of bioinformatics and biology applications on computer
    architecture research
  * Bioinformatics and computational biology accelerator architecture
    and design
  * 3D memory-logic stack based accelerators
  * Automata processing in bioinformatics and computational biology
    applications
  * Associative processing in bioinformatics and computational biology
    applications
  * Near-data (in-memory) acceleration bioinformatics and computational
    biology applications
  * Emerging memory technologies and their impact on bioinformatics and
    computational biology
  * Embedded and reconfigurable architectures
  * Field programmable logic based accelerators
  * Bioinformatics and computational biology-inspired hardware/software
    trade-offs

*Program Committee: *

  * Ananth Kalyanaraman, WSU
  * Bertil Schmidt, University of Mainz
  * 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
  * Srinivas Aluru, GT
  * Yuan Xie, UCSB

*Invited speakers:*

  * Onur Mutlu, ETH/CMU
  * Ananth Kalyanaraman, WSU
  * Can Alkan, Bilkent University
  * Bertil Schmidt, University of Mainz
  * Srinivas Aluru, GT

All questions about submissions should be emailed to Leonid 
Yavits (yavits at technion.ac.il <mailto:yavits at technion.ac.il>) or Roman 
Kaplan (sromanka at campus.technion.ac.il 
<mailto:sromanka at campus.technion.ac.il>)
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