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» NVIDIA cuda software and gpu parallel computing architecture
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IPPS
2009
IEEE
14 years 2 months ago
Exploring the multiple-GPU design space
Graphics Processing Units (GPUs) have been growing in popularity due to their impressive processing capabilities, and with general purpose programming languages such as NVIDIA’s...
Dana Schaa, David R. Kaeli
ASPLOS
2009
ACM
13 years 11 months ago
Accelerating phase unwrapping and affine transformations for optical quadrature microscopy using CUDA
Optical Quadrature Microscopy (OQM) is a process which uses phase data to capture information about the sample being studied. OQM is part of an imaging framework developed by the ...
Perhaad Mistry, Sherman Braganza, David R. Kaeli, ...
BMCBI
2011
13 years 2 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
EGH
2009
Springer
13 years 5 months ago
Fast minimum spanning tree for large graphs on the GPU
Graphics Processor Units are used for many general purpose processing due to high compute power available on them. Regular, data-parallel algorithms map well to the SIMD architect...
Vibhav Vineet, Pawan Harish, Suryakant Patidar, P....
PPOPP
2009
ACM
14 years 8 months ago
OpenMP to GPGPU: a compiler framework for automatic translation and optimization
GPGPUs have recently emerged as powerful vehicles for generalpurpose high-performance computing. Although a new Compute Unified Device Architecture (CUDA) programming model from N...
Seyong Lee, Seung-Jai Min, Rudolf Eigenmann