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» Efficiently Using a CUDA-enabled GPU as Shared Resource
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IEEECIT
2010
IEEE
8 years 4 months ago
Efficiently Using a CUDA-enabled GPU as Shared Resource
GPGPU is getting more and more important, but when using CUDA-enabled GPUs the special characteristics of NVIDIAs SIMT architecture have to be considered. Particularly, it is not ...
Hagen Peters, Martin Koper, Norbert Luttenberger
RTAS
2011
IEEE
7 years 9 months ago
Resource Sharing in GPU-Accelerated Windowing Systems
Recent windowing systems allow graphics applications to directly access the graphics processing unit (GPU) for fast rendering. However, application tasks that render frames on the...
Shinpei Kato, Karthik Lakshmanan, Yutaka Ishikawa,...
DAC
2012
ACM
6 years 8 months ago
A QoS-aware memory controller for dynamically balancing GPU and CPU bandwidth use in an MPSoC
Diverse IP cores are integrated on a modern system-on-chip and share resources. Off-chip memory bandwidth is often the scarcest resource and requires careful allocation. Two of t...
Min Kyu Jeong, Mattan Erez, Chander Sudanthi, Nige...
EUROPAR
2010
Springer
8 years 6 months ago
Multi-GPU and Multi-CPU Parallelization for Interactive Physics Simulations
Today, it is possible to associate multiple CPUs and multiple GPUs in a single shared memory architecture. Using these resources efficiently in a seamless way is a challenging issu...
Everton Hermann, Bruno Raffin, François Fau...
CLUSTER
2009
IEEE
9 years 28 days ago
GPU clusters for high-performance computing
—Large-scale GPU clusters are gaining popularity in the scientific computing community. However, their deployment and production use are associated with a number of new challenge...
Volodymyr V. Kindratenko, Jeremy Enos, Guochun Shi...
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