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Course: Parallelizing NEURON Models

Posted: Mon Mar 04, 2013 2:10 pm
by ted
What: "Parallelizing NEURON Models" ... n2013.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,
-- 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 ... n2013.html
or contact
Ted Carnevale
Neurobiology Dept.
Yale University School of Medicine
PO Box 208001
New Haven, CT 06520-8001
phone 203-494-7381

Supported in part by:
National Institutes of Health
National Science Foundation
Institute for Neural Computation

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

Parallel NEURON course early registration discount

Posted: Fri Mar 15, 2013 2:08 pm
by ted
Parallel NEURON course early registration discount

In response to the "sequester," we are offering a $150 early registration discount on a limited number of seats in the Parallelizing NEURON Models course. The discount will apply to registrants who sign up and pay for the course by 5 PM EDT (New York time), Friday, April 12, 2013. This reduces the total registration fee from $1350 to $1200.

For information about the course, and the on-line registration form, see ... n2013.html

Re: Course: Parallelizing NEURON Models

Posted: Sun Mar 31, 2013 10:38 pm
by ted
Who should take this course? Any NEURON user who:
  • wants to use all of the computational power of their own multicore laptop or desktop PC or Mac, in order to run simulations more quickly--gain an N-fold speedup on an N-core machine!
  • has a model optimization or parameter space exploration problem that requires hundreds or thousands of time-consuming simulations
  • has a model that is too complex for a single PC or Mac, and wants to take advantage of high performance parallel computing resources
This course will address topics that include:
  • installing NEURON on a wide variety of parallel supercomputers
  • parallelizing network models that involve spike-triggered synaptic transmission and/or gap junctions
  • using "bulletin board style parallelization" for embarassingly parallel problems such as parameter space exploration
  • ensuring that simulation results are independent of the number of processors or how cells are distributed over the processors
  • implementing reproducible randomness (and why it is essential)
  • measuring performance
  • achieving load balance (a key factor in maximizing performance)
  • debugging parallel models
  • using remote high-performance computing resources
Applicants who sign up and pay by Friday, April 12, will qualify for the early bird registration fee of $1200. After April 12, the fee goes back up to $1350. Registration is limited, and the last day to sign up is Friday, May 24. For more information and the on-line application form, see ... n2013.html
or contact
ted dot carnevale at yale dot edu