high performance computing on graphics processing units: hgpu.org

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Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

Tony Kam-Thong

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Tags: Biology, CUDA, Genetics, Machine learning, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, Package, Thesis

September 16, 2012 by hgpu

Parallel Benefit on Different Programming Paradigms

Chau-Yi Chou, Sheng-Hsiu Kuo, Chih-Wei Hsieh, Tsung-Che Tsai, Hsi-Ya Chang

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GT 200, OpenMP, Performance

September 16, 2012 by hgpu

Parallel Implementation of Moving Averages and Stock Market Prediction

John Jenq

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Tags: CUDA, Finance, Neural networks, nVidia, nVidia GeForce GT 550 M

September 16, 2012 by hgpu

Accelerating the Smith-Waterman Algorithm for Bio-sequence Matching on GPU

Qianghua Zhu, Fei Xia, Guoqing Jin

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Databases, nVidia, nVidia GeForce GTX 470, Sequence alignment, Sequence matching, Smith-Waterman algorithm

September 16, 2012 by hgpu

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

Juan C. Cuevas-Tello

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Tags: Algorithms, Artificial intelligence, Astrophysics, CUDA, MPI, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Physics

September 16, 2012 by hgpu

NT-SIM: A Co-Simulator for Networked Signal Processing Applications

Stephen Won, Chung-Ching Shen, Shuvra S. Bhattacharyya

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Tags: CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, Signal processing

September 15, 2012 by hgpu

Real-time Kd-tree Based Importance Sampling of Environment Maps

Serkan Ergun, Murat Kurt, Aydin Ozturk

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, KD-tree, Monte Carlo integration, nVidia, nVidia GeForce GTX 480

September 15, 2012 by hgpu

Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm

Imen Chakroun, Mohand Mezmaz, Nouredine Melab, Ahcene Bendjoudi

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Tags: Algorithms, Computer science, Data parallelism, nVidia, Optimization, Tesla C2050

September 15, 2012 by hgpu

Efficient computation of condition estimates for linear least squares problems

Marc Baboulin, Serge Gratton, Remi Lacroix, Alan Laub

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla C2075

September 15, 2012 by hgpu

High-Throughput parallel blind Virtual Screening using BINDSURF

Irene Sanchez-Linares, Horacio Perez-Sanchez, Jose M Cecilia, Jose M Garcia

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Tags: Bioinformatics, Biology, CUDA, Databases, nVidia, Tesla C2050

September 15, 2012 by hgpu

Parallelize L-BFGS-B on the GPU

Yun Fei, Wenping Wang, Bin Wang

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Tags: Algorithms, Computer science, CUDA, Nonlinear optimization, nVidia, nVidia GeForce GTX 580, Package, Tessellation, Voronoi diagram

September 14, 2012 by hgpu

An Optimized Parallel IDCT on Graphics Processing Units

Biao Wang, Mauricio Alvarez-Mesa, Chi Ching Chi, Ben Juurlink

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Tags: Computer science, H.264/AVC, nVidia, nVidia GeForce GT 430, nVidia GeForce GTS 450, nVidia GeForce GTX 560 Ti, OpenCL

September 14, 2012 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

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

Parallel Benefit on Different Programming Paradigms

Parallel Implementation of Moving Averages and Stock Market Prediction

Accelerating the Smith-Waterman Algorithm for Bio-sequence Matching on GPU

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

NT-SIM: A Co-Simulator for Networked Signal Processing Applications

Real-time Kd-tree Based Importance Sampling of Environment Maps

Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm

Efficient computation of condition estimates for linear least squares problems

High-Throughput parallel blind Virtual Screening using BINDSURF

Parallelize L-BFGS-B on the GPU

An Optimized Parallel IDCT on Graphics Processing Units

Recent source codes

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

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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