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» A performance prediction model for the CUDA GPGPU platform
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PPOPP
2009
ACM
14 years 5 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
ISCA
2012
IEEE
218views Hardware» more  ISCA 2012»
11 years 7 months ago
CAPRI: Prediction of compaction-adequacy for handling control-divergence in GPGPU architectures
Wide SIMD-based GPUs have evolved into a promising platform for running general purpose workloads. Current programmable GPUs allow even code with irregular control to execute well...
Minsoo Rhu, Mattan Erez
ASPLOS
2010
ACM
13 years 10 months ago
Modeling GPU-CPU workloads and systems
Heterogeneous systems, systems with multiple processors tailored for specialized tasks, are challenging programming environments. While it may be possible for domain experts to op...
Andrew Kerr, Gregory F. Diamos, Sudhakar Yalamanch...
ASPLOS
2009
ACM
13 years 9 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, ...
PDP
2009
IEEE
13 years 11 months ago
A Parallel Implementation of the 2D Wavelet Transform Using CUDA
There is a multicore platform that is currently concentrating an enormous attention due to its tremendous potential in terms of sustained performance: the NVIDIA Tesla boards. The...
Joaquín Franco, Gregorio Bernabé, Ju...