Massively parallel processing for dynamic airspace configuration

2011 ◽  
Author(s):  
Bart Gallet
Keyword(s):  
Parallel Processing ◽  
Massively Parallel ◽  
Dynamic Airspace Configuration ◽  
Massively Parallel Processing

A STRATEGY FOR SCHEDULING PARTIALLY ORDERED PROGRAM GRAPHS ONTO MULTICOMPUTERS

1995 ◽  
Vol 05 (04) ◽  
pp. 575-586
Author(s):  
BEN LEE ◽  
ALI R. HURSON
Keyword(s):  
Parallel Processing ◽  
Message Passing ◽  
Massively Parallel ◽  
Communication Overhead ◽  
Simulation Studies ◽  
Global Approach ◽  
Partially Ordered ◽  
Massively Parallel Processing ◽  
Time Scheduling ◽  
Scheduling Heuristic

The issue of scalability is key to the success of massively parallel processing. Due to their distributed nature, message-passing multicomputers are appropriate for achieving scalar performance. However, the message-passing model lacks programmability due to difficulties encountered by the programmers to partition and schedule the computation over the processors and to establish efficient inter-processor communication in the user code. Therefore, this paper presents a compile-time scheduling heuristic, called BLS, that maps programs onto the processors of a message-passing multicomputer. In contrast to other methods proposed, BLS takes a more global approach in attempt to balance the tradeoff between exploiting parallelism and reducing communication overhead. To evaluate the effectiveness of BLS, simulation studies of scheduling SISAL programs are presented.

Massively Parallel Processing of Image Contours

Visual Form ◽  
1992 ◽  
pp. 137-154
Author(s):  
Ling Tony Chen ◽  
Larry S. Davis ◽  
Clyde P. Kruskal
Keyword(s):  
Parallel Processing ◽  
Massively Parallel ◽  
Massively Parallel Processing

A 3-D stacked chip packaging solution for miniaturized massively parallel processing

1999 ◽  
Vol 22 (3) ◽  
pp. 424-432 ◽  
Author(s):  
R.M. Lea ◽  
I.P. Jalowiecki ◽  
D.K. Boughton ◽  
J.S. Yamaguchi ◽  
A.A. Pepe ◽  
...  
Keyword(s):  
Parallel Processing ◽  
Massively Parallel ◽  
Massively Parallel Processing
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