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Call for Papers: Workshop on Neuromorphic Architectures (NeuroArch) @ ISCA 2014

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Start:
June 14, 2014
Venue:
Minneapolis, MN, USA

Submitted by Hadi Esmaeilzadeh
http://www.cs.utsa.edu/~muzahid/neuroarch.html
Workshop on Neuromorphic Architectures (NeuroArch)

Saturday, June 14th, 2014
(held in conjunction with ISCA 2014)
Minneapolis, MN, USA

http://www.cs.utsa.edu/~muzahid/neuroarch.html

PRESENTATION

The first workshop on Neuromorphic Architectures (NeuroArch) aims at exploring
novel ideas and research opportunities in design, programming, and application
of neuromorphic and brain-inspired accelerators. In the current realm of
processor design, where energy and power constraint has shifted the designs
toward heterogeneity, hardware neural networks are emerging as candidate
accelerators with attractive characteristics and broad application scope.

In addition to the power-efficiency and fault tolerance of neural accelerators,
we are at the junction of time where: As technology scales down to the atomic
levels, the increasing process variability causes the designers to pay a high
tax in performance and efficiency to provide fault-free designs; the intrinsic
robustness of neural networks may lead to fault-tolerant accelerators. Novel
neural network algorithms such as Deep Belief Networks outperform many
alternative machine learning algorithms across a broad set of applications.
Significant progress in neuroscience sheds light on the operating principles of
biological neural networks, which can thus be partially replicated in hardware.
The landscape of computing has changed toward providing a more personalized and
more targeted experience for the users, thus increasing the importance of
applications that require learning.

Therefore, we believe it is imperative and timely for the computer architecture
community and the design of next generation computing systems to explore and
research neural models of computing.

TOPICS

To this end, NeuroArch invites research papers and talks on topics including
but not limited to: Hardware design for biologically or mathematically inspired
neural networks Applications of hardware neural networks Advanced technologies
and devices for neural hardware design (3D, memristors, …) Programming models
and environments for neural accelerators

NeuroArch 2014 will include both invited talks and peer-reviewed papers.
Peer-reviewed papers will not be published in a proceedings; therefore,
submitting to NeuroArch will not preclude future publication opportunities.
However, papers and presentation slides will be made available online with the
authors’ approval.

IMPORTANT DATES

Paper Submission: April 1st, 2014
Author Notification: April 15th, 2014

SUBMISSION

Paper submissions are limited to two-page extended abstracts. Please use the
formatting guidelines from the main conference (see

http://cag.engr.uconn.edu/isca2014/submission.html).

Please send a PDF version of your paper to hadi@cc.gatech.edu and
daniel.ben-dayan.rubin@intel.com.

Submissions may optionally be blind (authors can choose whether to include
names on the submitted PDF; this option will be relevant if the organizing
committee decides to query the opinion of an external reviewer).

ORGANIZERS

Daniel Ben Dayan-Rubin, Intel Labs, ICRI, Israel
Hadi Esmaeilzadeh, Georgia Tech
Abdullah Muzahid, University of Texas at San Antonio
Emre Neftci, UCSD
Olivier Temam, Inria

CONTACT
For any question related to the workshop organization, please contact
abdullah.muzahid@utsa.edu and olivier.temam@inria.fr.