high performance computing on graphics processing units: hgpu.org

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Evolutionary Clustering on CUDA

Pavel Kromer, Jan Platos, Vaclav Snasel

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Tags: Algorithms, Clustering, Computer science, CUDA, Machine learning, nVidia, Tesla C2050

September 20, 2012 by hgpu

Forecasting high frequency financial time series using parallel FFN with CUDA and ZeroMQ

Paola Arce, Cristian Maureira, Roberto Bonvallet, Cesar Fernandez

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Tags: Algorithms, CUBLAS, CUDA, Finance, Linear Algebra, Machine learning, Neural networks, nVidia, Tesla M2050

September 20, 2012 by hgpu

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

GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs

Ahmed Shamsul Arefin, Carlos Riveros, Regina Berretta, Pablo Moscato

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Tags: Bioinformatics, Computer science, CUDA, Machine learning, Nearest neighbour, nVidia, Package, Pattern recognition, Tesla C2050

September 5, 2012 by hgpu

Ensemble K-Means on Modern Many Core Hardware

Girish Ravunnikutty

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Tags: Bioinformatics, Clustering, Computer science, Data mining, Machine learning, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Pattern recognition, Thesis

July 28, 2012 by hgpu

Approximate Principal Direction Trees

Mark McCartin-Lim, Andrew McGregor, Rui Wang

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Tags: Computer science, Data Structures and Algorithms, Machine learning, nVidia, nVidia GeForce GTX 470

June 25, 2012 by hgpu

An Investigation into Concurrent Expectation Propagation

David Hall, Alex Kantchelian

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Tags: Algorithms, ATI, ATI Radeon HD 6490 M, Computer science, Machine learning, OpenCL, Physics

June 20, 2012 by hgpu

Genetic Algorithm Modeling with GPU Parallel Computing Technology

S. Cavuoti, M. Garofalo, M. Brescia, A. Pescape, G. Longo, G. Ventre

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Tags: Algorithms, Astrophysics, Computer science, CUDA, Data mining, Genetic programming, Machine learning, nVidia, nVidia GeForce GT 540 M

April 21, 2012 by hgpu

Machine Learning for Predictive Auto-Tuning with Boosted Regression Trees

James Bergstra, Nicolas Pinto, David Cox

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Tags: Computer science, CUDA, Filtering, Machine learning, Matrix multiplication, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Optimization, Tesla C1060, Tesla C2070

March 29, 2012 by hgpu

GPU Computing for Machine Learning Algorithms

Mauro Garofalo

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Tags: Algorithms, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GT 540 M, Thesis

February 28, 2012 by hgpu

CudaRF: A CUDA-based Implementation of Random Forests

Hakan Grahn, Niklas Lavesson, Mikael Hellborg Lapajne, Daniel Slat

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Data mining, Machine learning, nVidia, nVidia GeForce GT 220

February 9, 2012 by hgpu

Analysis Acceleration in TMVA for the ATLAS Experiment at CERN using GPU Computing

Hazel McKendrick

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Tags: CUDA, High Energy Physics - Experiment, Machine learning, Neural networks, nVidia, Physics, Tesla C1060, Tesla C2050, Thesis

January 23, 2012 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Evolutionary Clustering on CUDA

Forecasting high frequency financial time series using parallel FFN with CUDA and ZeroMQ

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

GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs

Ensemble K-Means on Modern Many Core Hardware

Approximate Principal Direction Trees

An Investigation into Concurrent Expectation Propagation

Genetic Algorithm Modeling with GPU Parallel Computing Technology

Machine Learning for Predictive Auto-Tuning with Boosted Regression Trees

GPU Computing for Machine Learning Algorithms

CudaRF: A CUDA-based Implementation of Random Forests

Analysis Acceleration in TMVA for the ATLAS Experiment at CERN using GPU Computing

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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