high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Scalable, High Performance Fourier Domain Optical Coherence Tomography: Why FPGAs and Not GPGPUs

Jian Li, Marinko V. Sarunic, Lesley Shannon

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Tags: Algorithms, CUDA, Data acquisition, FPGA, Medicine, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Tomography

September 21, 2011 by hgpu

Parallel graduated assignment algorithm for multiple graph matching based on a common labelling

David Rodenas, Francesc Serratosa, Albert Sole-Ribalta

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia ION, Presentation

September 21, 2011 by hgpu

GPU-based cloud performance for LiDAR data processing

Ramanathan Sugumaran, Dossay Oryspayev, Paul Gray

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Tags: Algorithms, Cloud, Computer science, CUDA, Data mining, Databases, Earth and Space Sciences, nVidia, Performance

September 21, 2011 by hgpu

Mint: realizing CUDA performance in 3D stencil methods with annotated C

Didem Unat, Xing Cai, Scott B. Baden

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Source codes

Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, nVidia, OpenMP, Optimization, Package, Performance, Programming Languages, Tesla C1060

September 21, 2011 by hgpu

Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors

Ashwin Prasad, Jayvant Anantpur, R. Govindarajan

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Tags: Benchmarking, Clustering, Computer science, CUDA, Data parallelism, Flow analysis, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTS, Optimization

September 20, 2011 by hgpu

Automatic abstraction and fault tolerance in cortical microachitectures

Atif Hashmi, Hugues Berry, Olivier Temam, Mikko Lipasti

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Tags: Algorithms, Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce 9800 GT

September 20, 2011 by hgpu

Brief announcement: better speedups for parallel max-flow

George Constantin Caragea, Uzi Vishkin

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Tags: Algorithms, ASIC, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Performance

September 20, 2011 by hgpu

Hermes: an integrated CPU/GPU microarchitecture for IP routing

Yuhao Zhu, Yangdong Deng, Yubei Chen

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Software router

September 20, 2011 by hgpu

CuMAPz: a tool to analyze memory access patterns in CUDA

Yooseong Kim, Aviral Shrivastava

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Tags: Analytical model, Benchmarking, Computer science, CUDA, Memory, nVidia, Performance, Tesla C1060

September 20, 2011 by hgpu

EFFEX: an embedded processor for computer vision based feature extraction

Jason Clemons, Andrew Jones, Robert Perricone, Silvio Savarese, Todd Austin

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Tags: Algorithms, Computer science, Computer vision, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 210, nVidia GeForce GTX 260, SIFT

September 20, 2011 by hgpu

Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework

Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat Chakradhar

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Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, Operating systems, Performance, Tesla C2050, Virtualization

September 20, 2011 by hgpu

Acceleration of genetic algorithms for sudoku solution on many-core processors

Yuji Sato, Naohiro Hasegawa, Mikiko Sato

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Tags: Algorithms, Computer science, CUDA, Games, Genetic programming, nVidia, nVidia GeForce GTX 460, Presentation

September 20, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

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high performance computing on graphics processing units: hgpu.org

Programming

Scalable, High Performance Fourier Domain Optical Coherence Tomography: Why FPGAs and Not GPGPUs

Parallel graduated assignment algorithm for multiple graph matching based on a common labelling

Mint: realizing CUDA performance in 3D stencil methods with annotated C

Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors

Automatic abstraction and fault tolerance in cortical microachitectures

Brief announcement: better speedups for parallel max-flow

Hermes: an integrated CPU/GPU microarchitecture for IP routing

CuMAPz: a tool to analyze memory access patterns in CUDA

EFFEX: an embedded processor for computer vision based feature extraction

Acceleration of genetic algorithms for sudoku solution on many-core processors

Recent source codes

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

Gaia AVU-GSR

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Most viewed papers (last 30 days)