A Single Instruction Multiple Thread CUDA interpreter provides SIMD like parallel evaluation of the whole GP population of 0.25 million reverse polish notation (RPN) expressions on GeForce 295 GTX graphics cards and nVidia Tesla. Using sub-machine code tree GP a sustain peak performance of 665 billion GP operations per second (10,000 speed up) and an average of 22 peta GP ops per day is reported for a single GPU card on a Boolean induction benchmark never attempted before, let alone solved
In this paper, we describe our work to investigate how much cyclic graph based Genetic Programming (...
AbstractGraphics processor units (GPUs) have evolved to handle throughput oriented workloads where a...
Graphics Processing Units (GPUs) have become a competitive accelerator for non-graphics application...
The availability of low cost powerful parallel graphics cards has stimulated the port of Genetic Pro...
Mackey-Glass chaotic time series prediction and nuclear protein classification show the feasibility ...
Abstract The availability of low cost powerful parallel graphics cards has stim-ulated the port of G...
Genetic Algorithms(GAs) are suitable for parallel computing since population members fitness maybe e...
This paper propose a multithreaded Genetic Programming classification evaluation model using NVIDIA ...
This thesis represents master's thesis focused on acceleration of Genetic algorithms using GPU. Firs...
We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel co...
In this paper we present a heavily exploration oriented implementation of genetic algorithms to be e...
This paper investigates the speed improvements available when using a graphics processing unit (GPU)...
Računarske metode rješavanja paralelnih problema korištenjem grafičkih obradnih jedinica (GPUs) zadn...
There are many combinatorial optimization problems such as flow shop scheduling, quadraticassignment...
Genetic Algorithms (GAs) is proven to be effective in solving many optimization tasks. GAs is one of...
In this paper, we describe our work to investigate how much cyclic graph based Genetic Programming (...
AbstractGraphics processor units (GPUs) have evolved to handle throughput oriented workloads where a...
Graphics Processing Units (GPUs) have become a competitive accelerator for non-graphics application...
The availability of low cost powerful parallel graphics cards has stimulated the port of Genetic Pro...
Mackey-Glass chaotic time series prediction and nuclear protein classification show the feasibility ...
Abstract The availability of low cost powerful parallel graphics cards has stim-ulated the port of G...
Genetic Algorithms(GAs) are suitable for parallel computing since population members fitness maybe e...
This paper propose a multithreaded Genetic Programming classification evaluation model using NVIDIA ...
This thesis represents master's thesis focused on acceleration of Genetic algorithms using GPU. Firs...
We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel co...
In this paper we present a heavily exploration oriented implementation of genetic algorithms to be e...
This paper investigates the speed improvements available when using a graphics processing unit (GPU)...
Računarske metode rješavanja paralelnih problema korištenjem grafičkih obradnih jedinica (GPUs) zadn...
There are many combinatorial optimization problems such as flow shop scheduling, quadraticassignment...
Genetic Algorithms (GAs) is proven to be effective in solving many optimization tasks. GAs is one of...
In this paper, we describe our work to investigate how much cyclic graph based Genetic Programming (...
AbstractGraphics processor units (GPUs) have evolved to handle throughput oriented workloads where a...
Graphics Processing Units (GPUs) have become a competitive accelerator for non-graphics application...