Parallel computing
Welcome to the Department of Parallel Computing
Parallel computing is the simultaneous execution of the same task (split up and specially adapted) on multiple processors in order to obtain results faster. The idea is based on the fact that the process of solving a problem usually can be divided into smaller tasks, which may be carried out simultaneously with some coordination.
Approaches to parallel computers include:
- Multiprocessing
- Computer cluster
- Parallel supercomputers
- Distributed computing
- NUMA vs. SMP vs. massively parallel computer systems
- Grid computing
Department news
- March 20, 2007 - Department founded!
Related news
- April 2007 Google strives towards energy efficiency.
Wikipedia
External links
- Interview about parallel computing
- Download BOINC
- BURP
- Growler - distributed object architecture
- 2008 PYthon Remote Objects
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