PLEASE NOTE THE NEW DATE, FOLLOWING THE DELAY OF ISCA-2022 BY A WEEK
4th Accelerator Architecture in Computational Biology and
Bioinformatics workshop (AACBB-2022)
June 18th 2022
In conjunction with 49th IEEE International Symposium on
Computer Architecture
New York City, New York, USA
Workshop website
https://aacbb-workshop.github.io/
Submission link
https://easychair.org/conferences/?conf=aacbb2022
Submission deadline
April 20, 2022, EoD
AoE
Notifications
May 5, 2022
Over the last decade, the advent of high-throughput
sequencing techniques brought an exponential growth in sequenced data.
At the same time, the single-thread performance continued to
improve by only a few percent point annually.
The growing gap between the performance demand to
performance supply became a significant challenge in the path to scientific
discovery.
The computational bottleneck of genome analysis pipelines
became even more apparent during the ongoing Covid-19 pandemic, where
fast and reliable virus detection and classification tools
have been critical for the worldwide genomic surveillance system.
The gap between the performance of a conventional computer
architecture and the biological data processing requirements is growing.
For example, assembling a human genome from 3rd generation
sequenced data may require hundreds of CPU hours.
Hence, computational biology and bioinformatics will have to
rely on hardware accelerators to allow processing to keep up with the exploding
amount of sequenced data.
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 make computational biology a prime
candidate to benefit from accelerator architecture research.
Potential directions include 3D integration, near-data
processing, in-data 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. This year, we plan to extend the
industry angle, by providing a keynote and invited talks from leading industry
research specialists.
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
– Covid-19
pandemic
– Bioinformatics and computational
biology accelerator architecture and design based on (but not limited to):
– 3D memory-logic
stack
– Near-data
(in-memory) processing
– In-data
processing
– FPGAs
– Reconfigurable
architectures
– 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
– Tajana Rosing, Prof of Computer Science
and Engineering, director of System Energy Efficiency Lab, UCSD
– Onur Mutlu, Prof of Computer Science,
Zurich ETH and CMU
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@gmail.com)
– Yatish Turakhia^ (yturakhia@eng.ucsd.edu)
* Department of Engineering, Bar Ilan University
^ Department of Electrical and Computer Engineering,
University of California, San Diego
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@gmail.com)