Tag: gpgpu
Realtime Computer Vision with OpenCV
OpenCV have made it easier for application developers to use computer vision. They are well-documented and vibrant open source projects that keep growing, and they are being adapted to new computing technologies
Optimizing ion channel models using a parallel genetic algorithm on graphical processors
We substantially reduced computing time by solving the ODEs so as to massively reduce memory transfers to and from the GPU.
Two upcoming AMD OpenCL Programming Webinars
AMD excited to bring a guest presenter and well known GPGPU guru, Rob Farber, to deliver a series of three OpenCL webinars that accompany his 9 AMD sponsored OpenCL article series
NVIDIA’s 2012 GPU Technology Conference (GTC) Opens for Registration
Four-Day Event Gathers Experts From Around the Globe; Showcases Breakthroughs Across Broad Range of Scientific, Visual, Technology Fields
Exploring the limits of GPGPU scheduling in control flow bound applications
This work tracks the root causes of execution inefficacies when running control flow intensive CUDA applications on NVIDIA GPGPU hardware
Parallelization of the finite-difference time-domain method for room acoustics modelling based on CUDA
We present a detailed study between different approaches to the parallelization of the FDTD method applied to room acoustics modelling, and we describe several optimization guidelines to improve the computation speed when using single precision and double precision floating point model data
Comparison of GPU architectures for asynchronous communication with finite-differencing applications
We report on some practical algorithmic and data layout approaches and on performance data on a range of GPUs with CUDA. We focus on the use of multiple GPU devices with a single CPU host and the asynchronous CPU/GPU communications issues involved.
Electronic Structure Calculation Methods on Accelerators workshop at Oak Ridge
This conference seeks to bring together computationally oriented scientists interested in using accelerator coprocessors in electronic structure theory. We will discuss recent advances, barriers and perspectives in modeling electronic structure on accelerators.
Towards Cost-Effective Bio-inspired Optimization: A Prospective Study on the GPU Architecture
This paper studies the impact of varying the population’s size and the problem’s dimensionality in a parallel implementation, for an NVIDIA GPU, of a canonical genetic algorithm.
From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming
In this paper, we evaluated various aspects of using OpenCL as a performance-portable method for GPGPU application development. Profiling results showed that environment setup overhead is large and should be minimized.
