EEBM E9070: Massively Parallel Neural Computation


---
Lecturer: Professor Aurel A. Lazar
  Office hours: By appointment, Room 819 Schapiro
  E-mail address: aurel "at" ee.columbia.edu
  Class Web Site: Offered by CourseWorks
Day and Time: Tuesdays, 6:50 PM - 8:40 PM
Class Location: EE Conference Room (1300 Mudd)
Credits for course: 3 points
Prerequisites BMEB W4020 or the instructor's approval
Description: Drosophila connectomics. Detailed description of the fruit fly's olfactory and vision systems. Parallel Processing on GPUs.
Recommended texts: David B. Kirk and Wen-mei W. Hwu, Programming Massively Parallel Processors: A Hands-on Approach, Morgan Kaufmann, 2010.
NVIDIA CUDA, NVIDIA CUDA C Programming Guide, Version 4.0, 2011.

Homework(s): Reading research papers and book chapters
Paper(s): ---
Project(s) Implementation of processing units of the fruit fly's brain in Python/PyCUDA. (Strongy motivated students with prior background in Neuroscience and Parallel Computing can request working on an individual project - instructor's approval required.)
Midterm exam: Project I: Massive connectivity and feedback in neural circuits.
Final Exam: Project II: Architecture of a sensory system of your choice (instructor's approval required).
Grading Classroom participation and projects
Hardware requirements: Laptop for demos.
Software requirements: Remote access to GPUs running Python and PyCUDA will be provided.