high performance computing on graphics processing units: hgpu.org

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Data-driven versus Topology-driven Irregular Computations on GPUs

Rupesh Nasre, Martin Burtscher, Keshav Pingali

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 6000

June 4, 2013 by hgpu

Parallel Selectivity Estimation for Optimizing Multidimensional Spatial Join Processing on GPUs

Jianting Zhang, Simin You, Le Gruenwald

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Tags: Computer science, CUDA, Databases, nVidia, nVidia Quadro FX 6000

May 19, 2013 by hgpu

Parallel Zonal Summations of Large-Scale Species Occurrence Data on Hybrid CPU-GPU Systems

Jianting Zhang, Simin You

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Tags: CUDA, Data parallelism, Earth and Space Sciences, Filtering, Geoscience, nVidia, nVidia Quadro FX 6000, Performance

May 19, 2013 by hgpu

General Purpose Computation on Graphics Processing Units Using OpenCL

Fiaz Gul Khan

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Tags: Computer science, Electrodynamics, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, nVidia Quadro FX 6000, OpenCL, Sorting, Thesis, Tutorial

March 26, 2013 by hgpu

Streaming Data from HDD to GPUs for Sustained Peak Performance

Lucas Beyer, Paolo Bientinesi

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Tags: Biology, Computational biology, CUDA, nVidia, nVidia Quadro FX 6000, Tesla S2050

February 20, 2013 by hgpu

Fast Parallel Sorting Algorithms on GPUs

Bilal Jan, Bartolomeo Montrucchio, Carlo Ragusa, Fiaz Gul Khan, Omar Khan

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Tags: Algorithms, Computer science, Data parallelism, nVidia, nVidia GeForce GT 320 M, nVidia GeForce GTX 260, nVidia Quadro FX 6000, OpenCL, Sorting

December 4, 2012 by hgpu

Softshell: Dynamic Scheduling on GPUs

Markus Steinberger, Bernhard Kainz, Bernhard Kerbl, Stefan Hauswiesner, Michael Kenzel, Dieter Schmalstieg

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Source codes

Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Package, Task scheduling

November 27, 2012 by hgpu

GPU-based Batched Spatial Query Processing on R-Trees

Simin You, Jianting Zhang

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Tags: Computer science, CUDA, Databases, Graph theory, nVidia, nVidia Quadro FX 6000

October 18, 2012 by hgpu

A Quantitative Study of Irregular Programs on GPUs

Martin Burtscher, Rupesh Nasre, Keshav Pingali

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Performance

September 23, 2012 by hgpu

CudaGIS: Report on the Design and Realization of a Massive Data Parallel GIS on GPUs

Jianting Zhang, Simin You

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia Quadro FX 6000

September 6, 2012 by hgpu

A Novel Approach to Visualizing Dark Matter Simulations

Ralf Kaehler, Oliver Hahn, Tom Abel

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Tags: Astrophysics, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia Quadro FX 6000, OpenGL, Rendering, Tessellation, Visualization

August 27, 2012 by hgpu

High-Performance Online Spatial and Temporal Aggregations on Multi-core CPUs and Many-Core GPUs

Jianting Zhang, Simin You, Le Gruenwald

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Tags: Computer science, CUDA, Databases, nVidia, nVidia Quadro FX 6000

July 29, 2012 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

Data-driven versus Topology-driven Irregular Computations on GPUs

Parallel Selectivity Estimation for Optimizing Multidimensional Spatial Join Processing on GPUs

Parallel Zonal Summations of Large-Scale Species Occurrence Data on Hybrid CPU-GPU Systems

General Purpose Computation on Graphics Processing Units Using OpenCL

Streaming Data from HDD to GPUs for Sustained Peak Performance

Fast Parallel Sorting Algorithms on GPUs

Softshell: Dynamic Scheduling on GPUs

GPU-based Batched Spatial Query Processing on R-Trees

A Quantitative Study of Irregular Programs on GPUs

CudaGIS: Report on the Design and Realization of a Massive Data Parallel GIS on GPUs

A Novel Approach to Visualizing Dark Matter Simulations

High-Performance Online Spatial and Temporal Aggregations on Multi-core CPUs and Many-Core GPUs

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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