ECEN 5553 - Parallel Processing
ECEN 5553 (3). Parallel Processing.
Examines a range of topics involved in using parallel operations to improve
computational performance. Discusses parallel architectures, parallel
algorithms and parallel programming languages. Architectures covered include
vector computers, multiprocessors, network computers, and data flow machines.
Credits and Design
||3 credit hours. Elective course.
ECEN 4593, Computer Organization|
CSCI 3656, Numberical Computation
Culler and Pal Singh,
Parallel Computer Architecture: A Hardware/Software Approach,
Morgan/Kaufman, 1st Ed.
| || |
The course extends work in computer
architecture, computer languages and numerical analysis to the specific
topic of parallel computing.
- Parallel algorithms: depth and
size of an algorithm, divide and conquer methods, speedup, and efficiency.
- Parallel architectures: SIMD instruction sets and vector
computers; memory interconnection networks array organization in memory
and associative processors. Multiprocessors: shared memory and
distributed systems. Dataflow machines: the abstract model and
approximate realization. Parallel architecture survey: multiprocessors,
vector computers, associative processors, and dataflow
- Parallel programming languages. Language features for
synchronization: control flow based and data item based. Data dependency
analysis and automatic vectorization. Value oriented languages for data
- Performance Analysis. Matching algorithms to
architectures. Synchronization and start-up overhead.
Last revised: 08-02-11, PM, ARP.