GP on SPMD parallel graphics hardware for mega bioinformatics data mining
WB Langdon, AP Harrison - Soft Computing, 2008 - Springer
We demonstrate a SIMD C++ genetic programming system on a single 128 node parallel
nVidia GeForce 8800 GTX GPU under RapidMind's GPGPU Linux software by predicting ten …
nVidia GeForce 8800 GTX GPU under RapidMind's GPGPU Linux software by predicting ten …
Large-scale bioinformatics data mining with parallel genetic programming on graphics processing units
WB Langdon - Massively parallel evolutionary computation on …, 2013 - Springer
Abstract The NCBI GEO GSE3494 breast cancer dataset contains hundreds of Affymetrix HG-
U133A and HG-U133B GeneChip biopsies each with a million variables. Multiple genetic …
U133A and HG-U133B GeneChip biopsies each with a million variables. Multiple genetic …
Linear genetic programming GPGPU on Microsoft's Xbox 360
We describe how to harness the graphics processing abilities of a consumer video game
console (Xbox 360) for general programming on graphics processing unit (GPGPU) …
console (Xbox 360) for general programming on graphics processing unit (GPGPU) …
A many threaded CUDA interpreter for genetic programming
WB Langdon - European Conference on Genetic Programming, 2010 - Springer
Abstract A Single Instruction Multiple Thread CUDA interpreter provides SIMD like parallel
evaluation of the whole GP population of 14 million reverse polish notation (RPN) …
evaluation of the whole GP population of 14 million reverse polish notation (RPN) …
A SIMD interpreter for genetic programming on GPU graphics cards
WB Langdon, W Banzhaf - European Conference on Genetic Programming, 2008 - Springer
Mackey-Glass chaotic time series prediction and nuclear protein classification show the
feasibility of evaluating genetic programming populations directly on parallel consumer …
feasibility of evaluating genetic programming populations directly on parallel consumer …
Fast parallel genetic programming: multi-core CPU versus many-core GPU
DM Chitty - Soft Computing, 2012 - Springer
Genetic Programming (GP) is a computationally intensive technique which is also highly
parallel in nature. In recent years, significant performance improvements have been …
parallel in nature. In recent years, significant performance improvements have been …
Graphics processing units and genetic programming: an overview
WB Langdon - Soft computing, 2011 - Springer
A top end graphics card (GPU) plus a suitable SIMD interpreter can deliver a several
hundred fold speed up, yet cost less than the computer holding it. We give highlights of AI …
hundred fold speed up, yet cost less than the computer holding it. We give highlights of AI …
[HTML][HTML] Scaling computational genomics to millions of individuals with GPUs
Current genomics methods are designed to handle tens to thousands of samples but will
need to scale to millions to match the pace of data and hypothesis generation in biomedical …
need to scale to millions to match the pace of data and hypothesis generation in biomedical …
[图书][B] Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA
B Tuomanen - 2018 - books.google.com
Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of
Python 2.7 over Python 3. x, since Python 2.7 has stable support across all the libraries we …
Python 2.7 over Python 3. x, since Python 2.7 has stable support across all the libraries we …
Population parallel GP on the G80 GPU
The availability of low cost powerful parallel graphics cards has stimulated a trend to port GP
on Graphics Processing Units (GPUs). Previous works on GPUs have shown evaluation …
on Graphics Processing Units (GPUs). Previous works on GPUs have shown evaluation …