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BMCBI
2011
10 years 8 months ago
DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI
Background: Next-generation sequencing technologies have led to the high-throughput production of sequence data (reads) at low cost. However, these reads are significantly shorter...
Yongchao Liu, Bertil Schmidt, Douglas L. Maskell
PDCAT
2009
Springer
11 years 8 months ago
CheCUDA: A Checkpoint/Restart Tool for CUDA Applications
Abstract—In this paper, a tool named CheCUDA is designed to checkpoint CUDA applications that use GPUs as accelerators. As existing checkpoint/restart implementations do not supp...
Hiroyuki Takizawa, Katsuto Sato, Kazuhiko Komatsu,...
ICPADS
2010
IEEE
10 years 11 months ago
GMH: A Message Passing Toolkit for GPU Clusters
Driven by the market demand for high-definition 3D graphics, commodity graphics processing units (GPUs) have evolved into highly parallel, multi-threaded, many-core processors, whi...
Jie Chen, William A. Watson III, Weizhen Mao
HIPC
2009
Springer
10 years 11 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...
IPPS
2010
IEEE
10 years 11 months ago
Improving numerical reproducibility and stability in large-scale numerical simulations on GPUs
The advent of general purpose graphics processing units (GPGPU's) brings about a whole new platform for running numerically intensive applications at high speeds. Their multi-...
Michela Taufer, Omar Padron, Philip Saponaro, Sand...
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