high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Benchmarking the Memory Hierarchy of Modern GPUs

Xinxin Mei, Kaiyong Zhao, Chengjian Liu, Xiaowen Chu

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Tags: Benchmarking, Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 780, Package, Performance

July 14, 2014 by hgpu

Parallel Implementations for Solving Shortest Path Problem using Bellman-Ford

Gaurav Hajela, Manish Pandey

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Tags: Algorithms, ATI, ATI Radeon HD 6450, Computer science, OpenCL, Path problems

July 12, 2014 by hgpu

SPH Fluids for Viscous Jet Buckling

Luiz Fernando de Souza Andrade, Marcos Sandim, Fabiano Petronetto, Paulo Pagliosa, Afonso Paiva

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 650

July 12, 2014 by hgpu

Collision Detection: Broad Phase Adaptation from Multi-Core to Multi-GPU Architecture

Quentin Avril, Valerie Gouranton, Bruno Arnaldi

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Tags: Collision detection, Computer science, CUDA, nVidia, nVidia Quadro FX 4600

July 12, 2014 by hgpu

Parallelized Hierarchical Expected Matching Probability for Multiple Sequence Alignment

Kedhar M, DR. M. Rajasekhara Babu, Mayank G, Abhinivesh M

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Tags: Bioinformatics, Biology, CUDA, nVidia, Programming techniques, RNA, Sequence alignment, Tesla C2070

July 12, 2014 by hgpu

Using the GPU for Fast Symmetry-Based Dense Stereo Matching in High Resolution Images

Vasco Mota, Gabriel Falcao, Michel Antunes, Joao Barreto, Urbano Nunes

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Signal processing, Stereo vision, Wavelet

July 12, 2014 by hgpu

Combining Data Parallelism and Task Parallelism for Efficient Performance on Hybrid CPU and GPU Systems

Aditya Deshpande

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Tags: Algorithms, Compression, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 580, nVidia Quadro FX 3700, Package, Sorting, Sparse matrix, Tesla K20, Thesis

July 11, 2014 by hgpu

Programming-Model Centric Debugging for Multicore Embedded Systems

Kevin Pouget

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Tags: Computer science, CUDA, H.264/AVC, nVidia, OpenCL, Programming techniques, Tesla K20, Thesis, Video decoding

July 11, 2014 by hgpu

Development of a Restricted Additive Schwarz Preconditioner for Sparse Linear Systems on NVIDIA GPU

Hui Liu, Zhangxin Chen, Song Yu, Ben Hsieh, Lei Shao

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Sparse linear iterative solvers, Sparse matrix, Tesla C2050, Tesla C2070

July 11, 2014 by hgpu

Accelerating Preconditioned Iterative Linear Solvers on GPU

Hui Liu, Zhangxin Chen, Bo Yang

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Sparse linear iterative solvers, Sparse matrix, Tesla C2050, Tesla C2070

July 11, 2014 by hgpu

A Hybrid Parallel Implementation of the Aho-Corasick and Wu-Manber Algorithms Using NVIDIA CUDA and MPI Evaluated on a Biological Sequence Database

Charalampos S. Kouzinopoulos, John-Alexander M. Assael, Themistoklis K. Pyrgiotis, Konstantinos G. Margaritis

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Tags: Algorithms, Computer science, CUDA, Databases, GPU cluster, MPI, nVidia, nVidia GeForce GT 240, Package, Tesla S1070

July 11, 2014 by hgpu

Parallelization of BFS Graph Algorithm using CUDA

Chetan D. Pise, Shailendra W. Shende

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 630 M

July 11, 2014 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

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high performance computing on graphics processing units: hgpu.org

Applications

Benchmarking the Memory Hierarchy of Modern GPUs

Parallel Implementations for Solving Shortest Path Problem using Bellman-Ford

SPH Fluids for Viscous Jet Buckling

Collision Detection: Broad Phase Adaptation from Multi-Core to Multi-GPU Architecture

Parallelized Hierarchical Expected Matching Probability for Multiple Sequence Alignment

Using the GPU for Fast Symmetry-Based Dense Stereo Matching in High Resolution Images

Combining Data Parallelism and Task Parallelism for Efficient Performance on Hybrid CPU and GPU Systems

Programming-Model Centric Debugging for Multicore Embedded Systems

Development of a Restricted Additive Schwarz Preconditioner for Sparse Linear Systems on NVIDIA GPU

Accelerating Preconditioned Iterative Linear Solvers on GPU

A Hybrid Parallel Implementation of the Aho-Corasick and Wu-Manber Algorithms Using NVIDIA CUDA and MPI Evaluated on a Biological Sequence Database

Parallelization of BFS Graph Algorithm using CUDA

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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