[Aspuru-Guzik group list] Fwd: [gpu-cdi-all] CS 264 Massively Parallel Computing

Dear group, An interesting course by Hanspeter Pfister. Alán Aspuru-Guzik | Assistant Professor Harvard University | Department of Chemistry and Chemical Biology 12 Oxford Street, Room M113 | Cambridge, MA 02138 (617)-384-8188 | http://aspuru.chem.harvard.edu ---------- Forwarded message ---------- From: Hanspeter Pfister <pfister(a)seas.harvard.edu> Date: Tue, Aug 25, 2009 at 8:47 PM Subject: [gpu-cdi-all] CS 264 Massively Parallel Computing To: CDI Grant PI Private Discussion <iic-gpu-cdi(a)deas.harvard.edu>du>, gpu-cdi-all(a)deas.harvard.edu, iic-all(a)harvard.edu Please distribute this announcement to your groups and schools. This course should also be of interest to computational scientists with non-CS degrees. CS 264 Massively Parallel Computing Harvard University NEW! Fall 2009 Instructor: Hanspeter Pfister, pfister(a)seas.harvard.edu Time: Lectures Mondays and Wednesdays, 1:00-2:30 pm / Sections Fridays, 1:00-2:30 pm Location: Maxwell Dworkin G125 (33 Oxford St., Cambridge) First class: Wed, Sept 2 http://www.cs264.org/ This course is an introduction to several high-performance parallel computing approaches and languages. Covers GPU programming with CUDA, cluster computing with MPI, and MapReduce using Hadoop and Amazon’s EC2. Students will complete a final project of their choice. Prerequisites: - Programming experience (ideally in C/C++) - Knowledge of basic systems topics (e.g., CS 61 or CSCI E-215) Exceptions by permission of the instructor Also offered as Distance Education Course CSCI E-292 at the Harvard Extension School. All lectures are recorded and videos will be available online. _______________________________________________ gpu-cdi-all mailing list gpu-cdi-all(a)deas.harvard.edu https://lists.deas.harvard.edu/mailman/listinfo/gpu-cdi-all