Add to ORKGRecent years have witnessed the emergence of a huge number of parallel computer architectures. Almost every desktop or notebook PC, and even mobile phones, come with several CPU cores built in. Also GPUs have been discovered as a source of massive computation power at no extra cost. Commercial I
Many tasks in data mining and statistics are inherently parallel. While modern commodity desktop pro...
120 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.More broadly, our results sho...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...
Evolutionary algorithms (EA) are proven effective and robust in searching large varied spaces in a w...
In this research, we have implemented a parallel EP on consumer-level graphics processing units and ...
Techniques of evolutionary computation generally require significant computational resources to solv...
......As we enter the era of GPU computing, demanding applications with substantial parallelism incr...
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems s...
We introduce the special issue on Evolutionary Computation (EC) reporting a non-exhaustive list of t...
Graphics Processing Units (GPUs) offer massive parallelism, comprising many actual paradigms like ma...
Graphic processing units (GPUs) emerged recently as an exciting new hardware environment for a truly...
We describe the utilization of on-chip multiple CPU architectures to automatically evolve parallel c...
The evolution of GPUs (graphics processing units) has been enormous in the past few years. Their cal...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Graphical Processing Units stand for the success of Artificial Neural Networks over the past decade ...
Many tasks in data mining and statistics are inherently parallel. While modern commodity desktop pro...
120 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.More broadly, our results sho...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...
Evolutionary algorithms (EA) are proven effective and robust in searching large varied spaces in a w...
In this research, we have implemented a parallel EP on consumer-level graphics processing units and ...
Techniques of evolutionary computation generally require significant computational resources to solv...
......As we enter the era of GPU computing, demanding applications with substantial parallelism incr...
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems s...
We introduce the special issue on Evolutionary Computation (EC) reporting a non-exhaustive list of t...
Graphics Processing Units (GPUs) offer massive parallelism, comprising many actual paradigms like ma...
Graphic processing units (GPUs) emerged recently as an exciting new hardware environment for a truly...
We describe the utilization of on-chip multiple CPU architectures to automatically evolve parallel c...
The evolution of GPUs (graphics processing units) has been enormous in the past few years. Their cal...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Graphical Processing Units stand for the success of Artificial Neural Networks over the past decade ...
Many tasks in data mining and statistics are inherently parallel. While modern commodity desktop pro...
120 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.More broadly, our results sho...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...