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Performance Improvement of Multichannel Audio by Graphics Processing Units

Jose Antonio Belloch Rodriguez

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Tags: Acoustics, Algorithms, Computer science, CUDA, Databases, Filtering, nVidia, nVidia GeForce GTS 360 M, nVidia GeForce GTX 590, nVidia GeForce GTX 690, nVidia Quadro FX 5800, OpenCL, Rendering, Signal processing, Tesla C2070, Tesla K20, Thesis

October 11, 2014 by hgpu

Using Graphics Processing Unit to Accelerate Database Query Execution

Kamil Ksiazek, Piotr Sapiecha

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Tags: Computer science, Databases, nVidia, nVidia GeForce GTS 450, OpenCL

October 6, 2014 by hgpu

Parallel QuadTree Encoding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Nathalie Kaligirwa, Eleazar Leal, Le Gruenwald, Jianting Zhang, Simin You

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Tags: Compression, Computer science, CUDA, Databases, nVidia, Tesla C2050

September 30, 2014 by hgpu

High performance histogramming on massively parallel processors

Wen-Mei Hwu

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Tags: Computer science, Computer vision, CUDA, Databases, Machine learning, nVidia, nVidia GeForce GTX 570, nVidia GeForce GTX 780, Thesis

September 20, 2014 by hgpu

Distance Threshold Similarity Searches on Spatiotemporal Trajectories using GPGPU

Michael Gowanlock, Henri Casanova

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Tags: Algorithms, Computer science, Databases, nVidia, OpenCL, Tesla C2075

September 16, 2014 by hgpu

Parallel Multi-dimensional Range Query Processing with R-Trees on GPU

Jinwoong Kim, Beomseok Nam

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Tags: Algorithms, Computer science, CUDA, Databases, Indexing, nVidia, Tesla M2090

September 9, 2014 by hgpu

GPU-accelerated Database Systems: Survey and Open Challenges

Sebastian Bress, Max Heimel, Norbert Siegmund, Ladjel Bellatreche, Gunter Saake

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Tags: Computer science, CUDA, Databases, nVidia, OpenCL

September 3, 2014 by hgpu

Performance Evaluations of Graph Database using CUDA and OpenMP-Compatible Libraries

S. Morishima, H. Matsutani

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Tags: CUDA, Databases, nVidia, nVidia GeForce GTX 780 Ti, nVidia Quadro K600, OpenMP

September 1, 2014 by hgpu

Exploiting Parallel Processing Power of GPU for High Speed Frequent Pattern Mining

D.William Albert, Dr.K.Fayaz, D.Veerabhadra Babu

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Tags: ATI, ATI Radeon HD 5850, Computer science, Data mining, Databases, Java, Machine learning, OpenCL

August 23, 2014 by hgpu

GPU Accelerated Range Trees with Applications

Manoj Maramreddy, Kishore Kothapalli

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Tags: Computer science, CUDA, Databases, Graph theory, nVidia, nVidia GeForce GTX 580, OpenMP

August 19, 2014 by hgpu

Parallel Graph Mining with GPUs

Robest Kessl, Nilothpal Talukder, Pranay Anchuri, Mohammed J. Zaki

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Tags: Algorithms, Computer science, CUDA, Databases, Graph theory, nVidia, Tesla C2075

August 19, 2014 by hgpu

Graphics Processing Unit Bloom Filters: Classical and Probabilistic

Joshua Michael Pyle

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Tags: Bloom filter, Computer science, CUDA, Data Structures and Algorithms, Databases, nVidia, nVidia GeForce GT 620, Security, Thesis

August 13, 2014 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Performance Improvement of Multichannel Audio by Graphics Processing Units

Using Graphics Processing Unit to Accelerate Database Query Execution

Parallel QuadTree Encoding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

High performance histogramming on massively parallel processors

Distance Threshold Similarity Searches on Spatiotemporal Trajectories using GPGPU

Parallel Multi-dimensional Range Query Processing with R-Trees on GPU

GPU-accelerated Database Systems: Survey and Open Challenges

Performance Evaluations of Graph Database using CUDA and OpenMP-Compatible Libraries

Exploiting Parallel Processing Power of GPU for High Speed Frequent Pattern Mining

GPU Accelerated Range Trees with Applications

Parallel Graph Mining with GPUs

Graphics Processing Unit Bloom Filters: Classical and Probabilistic

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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