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» An adaptive performance modeling tool for GPU architectures
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EGPGV
2004
Springer
214views Visualization» more  EGPGV 2004»
14 years 26 days ago
Hierarchical Visualization and Compression of Large Volume Datasets Using GPU Clusters
We describe a system for the texture-based direct volume visualization of large data sets on a PC cluster equipped with GPUs. The data is partitioned into volume bricks in object ...
Magnus Strengert, Marcelo Magallón, Daniel ...
IPPS
2008
IEEE
14 years 1 months ago
GPU acceleration of numerical weather prediction
Weather and climate prediction software has enjoyed the benefits of exponentially increasing processor power for almost 50 years. Even with the advent of large-scale parallelism ...
John Michalakes, Manish Vachharajani
ISVC
2007
Springer
14 years 1 months ago
A GPU Framework for the Visualization and On-the-Fly Amplification of Real Terrains
This paper describes a GPU framework for the real-time visualization of natural textured terrains, as well as the steps that are needed to populate them on-the-fly with tens of tho...
Yacine Amara, Sylvain Meunier, Xavier Marsault
HIPC
2009
Springer
13 years 5 months ago
A performance prediction model for the CUDA GPGPU platform
The significant growth in computational power of modern Graphics Processing Units(GPUs) coupled with the advent of general purpose programming environments like NVIDA's CUDA,...
Kishore Kothapalli, Rishabh Mukherjee, M. Suhail R...
HIPC
2009
Springer
13 years 5 months ago
Optimizing the use of GPU memory in applications with large data sets
Abstract--With General Purpose programmable GPUs becoming more and more popular, automated tools are needed to bridge the gap between achievable performance from highly parallel ar...
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer