Virtualization of reconfigurable coprocessors in HPRC systems with multicore architecture

2012 ◽  
Vol 58 (6-7) ◽  
pp. 247-256 ◽  
Author(s):  
Ivan Gonzalez ◽  
Sergio Lopez-Buedo ◽  
Gustavo Sutter ◽  
Diego Sanchez-Roman ◽  
Francisco J. Gomez-Arribas ◽  
...  
Keyword(s):  
Multicore Architecture ◽  
Reconfigurable Coprocessors

scholarly journals A Configurable Heterogeneous Multicore Architecture With Cellular Neural Network for Real-Time Object Recognition

2009 ◽  
Vol 19 (11) ◽  
pp. 1612-1622 ◽  
Author(s):  
Kwanho Kim ◽  
Seungjin Lee ◽  
Joo-Young Kim ◽  
Minsu Kim ◽  
Hoi-Jun Yoo
Keyword(s):  
Neural Network ◽  
Object Recognition ◽  
Real Time ◽  
Cellular Neural Network ◽  
Multicore Architecture ◽  
Heterogeneous Multicore

Performance evaluation of canny edge detection on a tiled multicore architecture

2011 ◽  
Author(s):  
Andrew Z. Brethorst ◽  
Nehal Desai ◽  
Douglas P. Enright ◽  
Ronald Scrofano
Keyword(s):  
Performance Evaluation ◽  
Edge Detection ◽  
Multicore Architecture ◽  
Canny Edge Detection ◽  
Canny Edge

PERFORMANCE EVALUATION OF PARALLEL GENETIC AND PARTICLE SWARM OPTIMIZATION ALGORITHMS WITHIN THE MULTICORE ARCHITECTURE

2014 ◽  
Vol 13 (04) ◽  
pp. 1450024
Author(s):  
A. S. RADHAMANI ◽  
E. BABURAJ
Keyword(s):  
Particle Swarm Optimization ◽  
Performance Optimization ◽  
Particle Swarm ◽  
Optimization Methods ◽  
Swarm Optimization ◽  
Multicore Architecture ◽  
Bacterial Foraging ◽  
Processor Performance ◽  
Almost All ◽  
Time And Energy

In recent studies we found that there are many optimization methods presented for multicore processor performance optimization, however each method is suffered from limitations. Hence in this paper we presented a new method which is a combination of bacterial Foraging Particle swarm Optimization with certain constraints named as Constraint based Bacterial Foraging Particle Swarm Optimization (CBFPSO) scheduling can be effectively implemented. The proposed Constraint based Bacterial Foraging Particle Swarm Optimization (CBFPSO) scheduling for multicore architecture, which updates the velocity and position by two bacterial behaviours, i.e. reproduction and elimination dispersal. The performance of CBFPSO is compared with the simulation results of GA, and the result shows that the proposed algorithm has pretty good performance on almost all types of cores compared to GA with respect to completion time and energy consumption.

An Efficient, Practical Parallelization Methodology for Multicore Architecture Simulation

2006 ◽  
Vol 5 (2) ◽  
pp. 14-14 ◽  
Author(s):  
James Donald ◽  
Margaret Martonosi
Keyword(s):  
Multicore Architecture ◽  
Architecture Simulation

Model-based performance analysis for reconfigurable coprocessors

2001 ◽  
Author(s):  
Stephen M. Charlwood ◽  
Jon P. Mangnall ◽  
Steven F. Quigley
Keyword(s):  
Performance Analysis ◽  
Model Based ◽  
Reconfigurable Coprocessors
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