high performance computing on graphics processing units: hgpu.org

Programming

Implementing Independent Component Analysis in General-Purpose GPU Architectures

Jacquelyne Forgette, Renata Wachowiak-Smolikova, Mark Wachowiak

Tags: Algorithms, CUDA, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX 260, OpenCL, Signal processing

September 8, 2011 by hgpu

Automatic OpenCL Device Characterization: Guiding Optimized Kernel Design

Peter Thoman, Klaus Kofler, Heiko Studt, John Thomson, Thomas Fahringer

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Benchmarking, Cell processor, Computer science, nVidia, nVidia GeForce GTX 275, nVidia GeForce GTX 460, OpenCL, Optimization, Tesla C2050

September 8, 2011 by hgpu

Accelerating Clustering Coefficient Calculations on a GPU Using OPENCL

Leonid Djinevski, Igor Mishkovski, Dimitar Trajanov

Tags: Algorithms, Clustering, Computer science, Networks, OpenCL, OpenMP

September 8, 2011 by hgpu

CUDA-level performance with python-level productivity for Gaussian mixture model applications

H. Cook, E. Gonina, S. Kamil, G. Friedland, D. Patterson, A. Fox

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Tags: Algorithms, Code generation, Computer science, CUDA, nVidia, OpenCL, Python

September 7, 2011 by hgpu

Towards dynamic reconfigurable load-balancing for hybrid desktop platforms

Alecio P.D. Binotto, Carlos E. Pereira, Dieter W. Fellner

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Tags: Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, OpenCL, Poster

August 31, 2011 by hgpu

Partial wave analysis at BES III harnessing the power of GPUs

Niklaus Berger

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Tags: ATI Radeon HD 4870, Brook, High Energy Physics - Experiment, nVidia, OpenCL, Physics, Statistics and Probability

August 31, 2011 by hgpu

Partial Wave Analysis using Graphics Cards

Niklaus Berger

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Tags: High Energy Physics - Experiment, nVidia, OpenCL, Physics, Statistics and Probability

August 31, 2011 by hgpu

Parallel computation of spherical parameterizations for mesh analysis

Theodoros Athanasiadis, Ioannis Fudos

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Source codes

Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Package

August 24, 2011 by hgpu

Efficient implementation of GPGPU synchronization primitives on CPUs

Jayanth Gummaraju, Ben Sander, Laurent Morichetti, Benedict Gaster, Lee Howes

Tags: Computer science, OpenCL, Performance, Programming techniques

August 23, 2011 by hgpu

Top ten ways to make formal methods for HPC practical

Ganesh Gopalakrishnan, Robert M. Kirby

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Tags: Computer science, CUDA, MPI, nVidia, OpenCL, OpenMP, Performance

August 22, 2011 by hgpu

Improving programmability of heterogeneous many-core systems via explicit platform descriptions

Martin Sandrieser, Siegfried Benkner, Sabri Pllana

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL, OpenMP, Presentation

August 22, 2011 by hgpu

Compiling Python to a hybrid execution environment

Rahul Garg, Jose Nelson Amaral

Tags: ATI, ATI CAL, BLAS, Compilers, Computer science, OpenCL, Python

August 21, 2011 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

Programming

Implementing Independent Component Analysis in General-Purpose GPU Architectures

Automatic OpenCL Device Characterization: Guiding Optimized Kernel Design

Accelerating Clustering Coefficient Calculations on a GPU Using OPENCL

CUDA-level performance with python-level productivity for Gaussian mixture model applications

Towards dynamic reconfigurable load-balancing for hybrid desktop platforms

Partial wave analysis at BES III harnessing the power of GPUs

Partial Wave Analysis using Graphics Cards

Parallel computation of spherical parameterizations for mesh analysis

Efficient implementation of GPGPU synchronization primitives on CPUs

Top ten ways to make formal methods for HPC practical

Improving programmability of heterogeneous many-core systems via explicit platform descriptions

Compiling Python to a hybrid execution environment

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

Most viewed papers (last 30 days)