high performance computing on graphics processing units: hgpu.org

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Elastically Deformable Models based on the Finite Element Method Accelerated on Graphics Hardware using CUDA

Mickeal Verschoor, Andrei C. Jalba

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 570, Sparse matrix

July 9, 2012 by hgpu

Deformation of skeleton based implicit objects

Sondre Langeland Hisdal

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570

July 2, 2012 by hgpu

Adaptive Sequential Posterior Simulators for Massively Parallel Computing Environments

Garland Durham, John Gewekey

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Tags: Algorithms, Bayesian, CUDA, Finance, nVidia, nVidia GeForce GTX 570

June 29, 2012 by hgpu

Performance Gains in Conjugate Gradient Computation with Linearly Connected GPU Multiprocessors

Stephen J. Tarsa, Tsung-han Lin, H.T. Kung

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Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, nVidia GeForce GTX 570

June 14, 2012 by hgpu

Using visualization to reveal weak cryptosystems

Eirik Eggesbo Ottesen

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Tags: Computer science, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 570, nVidia GeForce GTX 680, Security, Thesis, Visualization

June 5, 2012 by hgpu

Explicit Cache Management for Volume Ray-Casting on Parallel Architectures

Daniel Jonsson, Per Ganestam, Anders Ynnerman, Michael Doggett, Timo Ropinski

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Rendering

May 29, 2012 by hgpu

The Linear Direct Sparse Solver on GPU for Bundle Adjustment Method

Ivaneik Ondrej, Ivan Simecek

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Tags: Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTX 570, Package, Sparse matrix, Thesis

May 19, 2012 by hgpu

GPU Acceleration for the C++ Standard Template Library

Christian DeLozier

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 570, OpenCL, Package, Programming techniques, Software Engineering

May 2, 2012 by hgpu

Fast Universal Background Model (UBM) Training on GPUs using Compute Unified Device Architecture (CUDA)

M. Azhari, C. Ergun

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 570

April 21, 2012 by hgpu

Accelerating Constraint Automata Composition with GPGPU Parallelization

Gunnar K. Vilbergsson

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Thesis

March 27, 2012 by hgpu

Efficient Data Management for GPU Databases

Peter Bakkum, Srimat Chakradhar

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Tags: Computer science, CUDA, Databases, Heterogeneous systems, nVidia, nVidia GeForce GTX 570, Package

February 21, 2012 by hgpu

Parallel Algorithm Design and Implementation of Regular/Irregular Problems: An In-depth Performance Study on Graphics Processing Units

Steven Solomon

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Optimization, Thesis

January 25, 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

Elastically Deformable Models based on the Finite Element Method Accelerated on Graphics Hardware using CUDA

Deformation of skeleton based implicit objects

Adaptive Sequential Posterior Simulators for Massively Parallel Computing Environments

Performance Gains in Conjugate Gradient Computation with Linearly Connected GPU Multiprocessors

Using visualization to reveal weak cryptosystems

Explicit Cache Management for Volume Ray-Casting on Parallel Architectures

The Linear Direct Sparse Solver on GPU for Bundle Adjustment Method

GPU Acceleration for the C++ Standard Template Library

Fast Universal Background Model (UBM) Training on GPUs using Compute Unified Device Architecture (CUDA)

Accelerating Constraint Automata Composition with GPGPU Parallelization

Efficient Data Management for GPU Databases

Parallel Algorithm Design and Implementation of Regular/Irregular Problems: An In-depth Performance Study on Graphics Processing Units

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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