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

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

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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

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

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