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» Heterogeneous Computing and Parallel Genetic Algorithms
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GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 7 months ago
Collaborative interactive evolution
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes
IPPS
1998
IEEE
15 years 6 months ago
An Evolutionary Approach to Multiprocessor Scheduling of Dependent Tasks
The scheduling of application tasks is a problem that occurs in all multiprocessor systems. This problem becomes even more complicated if the tasks are not independent but are inte...
Roman Nossal
AAAI
2006
15 years 3 months ago
Conflict Resolution and a Framework for Collaborative Interactive Evolution
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes
PDPTA
2010
14 years 11 months ago
Disciplined Multi-core Programming in C
The problem of programmability on modern heterogeneous multicore and future manycore embedded platforms is still not solved satisfactorily: although many existing but incompatible ...
Pjotr Kourzanov, Orlando Moreira, Henk J. Sips
ISPAN
2009
IEEE
15 years 8 months ago
High Speed Articulated Object Tracking Using GPUs: A Particle Filter Approach
—This paper presents a novel application of the GPU processing power to a very computationally demanding articulated human body tracking problem in a view-based approach. This wo...
Raúl Cabido, David Concha, Juan José...