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.
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