A survey on parallel computing and its applications in data-parallel problems using GPU architectures
CA Navarro, N Hitschfeld-Kahler… - … in Computational Physics, 2014 - cambridge.org
Parallel computing has become an important subject in the field of computer science and
has proven to be critical when researching high performance solutions. The evolution of …
has proven to be critical when researching high performance solutions. The evolution of …
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 …
Conflicting emergences. Weak vs. strong emergence for the modelling of brain function
The concept of “emergence” has become commonplace in the modelling of complex
systems, both natural and man-made; a functional property” emerges” from a system when it …
systems, both natural and man-made; a functional property” emerges” from a system when it …
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 …
Seeded ND medical image segmentation by cellular automaton on GPU
C Kauffmann, N Piché - … journal of computer assisted radiology and …, 2010 - Springer
Purpose We present a GPU-based framework to perform organ segmentation in N-
dimensional (ND) medical image datasets by computation of weighted distances using the …
dimensional (ND) medical image datasets by computation of weighted distances using the …
Experiments with single core, multi-core, and GPU based computation of cellular automata
S Rybacki, J Himmelspach… - 2009 first international …, 2009 - ieeexplore.ieee.org
Cellular automata are a well-known modeling formalism exploited in a wide range of
application areas. In many of those, the complexity of models hampers a thorough analysis …
application areas. In many of those, the complexity of models hampers a thorough analysis …
An investigation of the efficient implementation of cellular automata on multi-core CPU and GPU hardware
Cellular automata (CA) have proven to be excellent tools for the simulation of a wide variety
of phenomena in the natural world. They are ideal candidates for acceleration with modern …
of phenomena in the natural world. They are ideal candidates for acceleration with modern …
GPU-CA model for large-scale land-use change simulation
Land-use change simulation for large-scale regions (ie provincial regions or countries) is
very useful for many global studies. Such simulation, however, is affected by computational …
very useful for many global studies. Such simulation, however, is affected by computational …
Octree-based, GPU implementation of a continuous cellular automaton for the simulation of complex, evolving surfaces
N Ferrando, MA Gosálvez, J Cerdá, R Gadea… - Computer Physics …, 2011 - Elsevier
Presently, dynamic surface-based models are required to contain increasingly larger
numbers of points and to propagate them over longer time periods. For large numbers of …
numbers of points and to propagate them over longer time periods. For large numbers of …
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 …