CS 140: Parallel Scientific Computing
Spring Quarter, 2014
Class schedule: Tuesday/Thursday. 11:00-12:15 GIRV 1115
- Instructor: Tao Yang (tyang at cs). Office Hours:
Tuesday/Thursday 12:30-1:30pm (or email me for appointments or just stop by my office). HFH building, Room 5113
- Supercomputing consultant:
Kadir Diri and Stefan Boeriu
- Xin Jin (xin_jin at cs) and Steven Bluen (sbluen at cs)
This course covers high-performance
parallel/distributed computing systems and scientific applications on modern computers. Topics include
The expected work includes group homework/programming assignments (students can work in a group of two)
- Parallel architecture, high performance computing, and performance evaluation
- Patterns of parallelism and program partitioning/mapping.
- Distributed memory programming with message-passing interface (MPI)
- Shared memory programming with Pthreads (and OpenMP if time permits).
- Data-intensive parallel programming with MapReduce and Hadoop.
- Parallel algorithms for scientific and data-intensive computing such as numerical integration, matrix
multiplication, linear equation/PDE solving, sorting, and tree search.
Data structure and algorithms (CS 130A).
Linear algebra (e.g. Math 5A or 4A).
Programming experience with C and Java on Linux.
Text book and reading material:
The text book will be "An Introduction to Parallel Programming" by Peter Pacheco, 2011.
Additional reading materials will be assigneded.
Textbook website (Source code. Errata).
UCSB Supercomputing page .
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Last modified: 3/30/2014