high performance computing on graphics processing units: hgpu.org

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Parallel waveform extraction algorithms for the Cherenkov Telescope Array Real-Time Analysis

Andrea Zoli, Andrea Bulgarelli, Adriano De Rosa, Alessio Aboudan, Valentina Fioretti, Giovanni De Cesare, Ramin Marx

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Tags: Astrophysics, FPGA, nVidia, OpenCL, OpenMP, Tesla K40

September 9, 2015 by hgpu

On GPU-Accelerated Fast Direct Solvers and Their Applications in Image Denoising

Mirko Myllykoski

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce GTX 580, OpenCL, Signal denoising, Tesla K40, Thesis

September 5, 2015 by hgpu

A GPU-accelerated local search algorithm for the Correlation Clustering problem

Mario Levorato, Lucia Drummond, Yuri Frota, Rosa Figueiredo

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Tags: Algorithms, Clustering, Computer science, CUDA, Metaheuristics, nVidia, Tesla K40

August 31, 2015 by hgpu

Deep Convolutional Neural Networks for Smile Recognition

Patrick O. Glauner

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Tags: Computer science, CUDA, Deep learning, Neural and Evolutionary Computing, Neural networks, nVidia, Tesla K40, Thesis

August 28, 2015 by hgpu

Adaptive Multi-GPU Exchange Monte Carlo for the 3D Random Field Ising Model

C. A. Navarro, Huang Wei, Youjin Deng

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Tags: Algorithms, Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, Physics, Spin Systems, Tesla K40

August 27, 2015 by hgpu

MemcachedGPU: Scaling-up Scale-out Key-value Stores

Tayler H. Hetherington, Mike O'Connor, Tor M. Aamodt

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Tags: Computer science, CUDA, Databases, Energy-efficient computing, nVidia, nVidia GeForce GTX 750 Ti, Package, Tesla K20, Tesla K40

August 27, 2015 by hgpu

MPC: A Massively Parallel Compression Algorithm for Scientific Data

Annie Yang, Hari Mukka, Farbod Hesaaraki, Martin Burtscher

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, Tesla K40

August 14, 2015 by hgpu

Processing Markov Logic Networks with GPUs

Carlos Alberto Martinez-Angeles, Ines Dutra, Vitor Santos Costa, Jorge Buenabad-Chavez

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Tags: Computer science, CUDA, Databases, Machine learning, nVidia, Tesla K40

August 14, 2015 by hgpu

DenseCut: Densely Connected CRFs for Realtime GrabCut

M. M. Cheng, V. A. Prisacariu, S. Zheng, P. H. S. Torr, C. Rother

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Tags: Computer vision, CUDA, Image processing, nVidia, Package, Tesla K40

August 7, 2015 by hgpu

Exploiting two-level parallelism by aggregating computing resources in task-based applications over accelerator-based machines

Terry Cojean, Abdou Guermouche, Andra Hugo, Raymond Namyst, Pierre-Andre Wacrenier

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Tags: Computer science, CUDA, Factorization, Heterogeneous systems, Linear Algebra, nVidia, OpenMP, Task scheduling, Tesla K40

August 5, 2015 by hgpu

Dense Symmetric Indefinite Factorization on GPU Accelerated Architectures

Marc Baboulin, Jack Dongarra, Adrien Remy, Stanimire Tomov, Ichitaro Yamazaki

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla K40

August 5, 2015 by hgpu

A Data-oriented Method for Scheduling Dependent Tasks on High-density Multi-GPU Systems

Peng Zhang, Yuxiang Gao, Meikang Qiu

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Tags: Algorithms, Computer science, CUDA, Matrix inversion, Matrix multiplication, nVidia, Task scheduling, Tesla K40

August 3, 2015 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

Parallel waveform extraction algorithms for the Cherenkov Telescope Array Real-Time Analysis

On GPU-Accelerated Fast Direct Solvers and Their Applications in Image Denoising

A GPU-accelerated local search algorithm for the Correlation Clustering problem

Deep Convolutional Neural Networks for Smile Recognition

Adaptive Multi-GPU Exchange Monte Carlo for the 3D Random Field Ising Model

MemcachedGPU: Scaling-up Scale-out Key-value Stores

MPC: A Massively Parallel Compression Algorithm for Scientific Data

Processing Markov Logic Networks with GPUs

DenseCut: Densely Connected CRFs for Realtime GrabCut

Exploiting two-level parallelism by aggregating computing resources in task-based applications over accelerator-based machines

Dense Symmetric Indefinite Factorization on GPU Accelerated Architectures

A Data-oriented Method for Scheduling Dependent Tasks on High-density Multi-GPU Systems

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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