[Comp-neuro] Course: Parallelizing NEURON Models

COURSE ANNOUNCEMENT

What:
"Parallelizing NEURON Models"
http://www.neuron.yale.edu/neuron/static/courses/parnrn2013/parnrn2013.html

When:
9 AM Wednesday, June 26, through 5 PM Sunday, June 30, 2013

Where:
The Institute for Neural Computation
at the University of California, San Diego, CA

Organizers:
N.T. Carnevale and M.L. Hines

Description:
This five day intensive course is designed for advanced modelers who
--already know how to write hoc or Python code for NEURON,
AND
-- need to develop a model that runs on parallel hardware, or port an
existing model from serial hardware to parallel hardware. This course
goes into considerable depth on key strategies for developing,
debugging, and using NEURON models in high performance computing
environments. Each day will start with didactic presentations and
discussions that address general strategies and specific tactics for
solving common problems. However, this is very much a "hands-on"
course, so afternoons will be devoted to coding sessions in which
participants put what they have learned to practical use while expert
consultation is close at hand.

Registration is limited to 12, and the deadline for receipt of
applications is Friday, May 24, 2013.

For more information see
http://www.neuron.yale.edu/neuron/static/courses/parnrn2013/parnrn2013.html
or contact
Ted Carnevale
Neurobiology Dept.
Yale University School of Medicine
PO Box 208001
New Haven, CT 06520-8001
phone 203-494-7381
email ted.carnevale@yale.edu

Supported in part by:
National Institutes of Health
National Science Foundation
Institute for Neural Computation http://inc.ucsd.edu/

Contractual terms require inclusion of the following statement:
This course is not sponsored by the University of California.
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