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Workshop on Biomedicine in Computing: Systems,
Architectures, and Circuits (BiC)
Held in conjunction with the 36th International
Symposium on Computer Architecture (ISCA-36)
Austin, Texas, USA, June 20, 2009
Workshop Overview:
The Workshop on Biomedicine in Computing: Systems, Architectures,
and Circuits (BiC) provides a forum for discussing topics
related to the intersection of computing and the biological
sciences. Computing systems can aid in the study of biological
systems, be implanted into biological systems, and have their
design inspired by that of biological systems. Further, many
emerging medical microelectronic applications can potentially
revolutionize the way we perform diagnosis and treatment of
diseases, enable human augmentation, and advance understanding
of bio-physiological systems.
The goal of this workshop is to bring together researchers
from computing and the biological sciences for scholarly and
technical exchange on a broad range of topics related to biomedical
computing, including, but not limited to:
- Architectures for interfacing to biological systems
- Custom computing machines for the biological science applications
- Architectures for bio-implantation
- Biologically inspired architectures
- Computer architectures constructed from biological building
blocks
- Workload characterization for existing and emerging biomedical
applications
- Performance evaluation, measurement, and benchmarking
of real biomedical systems
- Design for bio-compatibility, reliability, dependability,
and security
Important Dates:
- Paper Submission: 04/30/2009
- Author Notification: 05/19/2009
- Camera Ready: 05/26/2009
- Workshop Date: 06/20/2009 (Saturday Morning)
Paper Submission:
Submissions should be prepared in standard IEEE conference
proceedings format with up to 4 pages (including authors'
names, affiliation, figures, tables, and references), in double
columns, no smaller than 10 pt font, and submitted in PDF
to both workshop co-chairs via email.
Workshop CO-Chairs:
- Allen C. Cheng, University of Pittsburgh (accheng
@ece.pitt.edu)
- Ken Mai, Carnegie Mellon University (kenmai @ece.cmu.edu)
Technical Program Committee:
- David Albonesi, Cornell University
- Murali Annavaram, University of Southern California
- James Bondi, Texas Instruments
- Doug Burger, Microsoft Research / University of Texas
at Austin
- Alessandro Forin, Microsoft Research
- James Hoe, Carnegie Mellon University
- Murali Jayapala, IMEC, vzw
- Lizy John, University of Texas at Austin
- Hsien-Hsin Lee, Georgia Institute of Technology
- José Martínez, Cornell University
- Dean Pomerleau, Intel Research
- Kevin Skadron, University of Virginia
- Gary Tyson, Florida State University
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