high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

High-Quality Rendering of Quartic Spline Surfaces on the GPU

G. Reis, F. Zeilfelder, M. Hering-Bertram, G. E. Farin, H. Hagen

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Tags: Computer science, nVidia, nVidia GeForce 6800, nVidia GeForce 8800 GTX, OpenGL, Raytracing, Rendering

December 9, 2010 by hgpu

A Resource Selection System for Cycle Stealing in GPU Grids

Y. Kotani, F. Ino, K. Hagihara

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Tags: Computer science, Grid, nVidia, nVidia GeForce 6800 GTO, nVidia GeForce 7800 GTX, nVidia GeForce 8800 GTX

December 9, 2010 by hgpu

A new physics engine with automatic process distribution between CPU-GPU

Mark Joselli, Esteban Clua, Anselmo Montenegro, Aura Conci, Paulo Pagliosa

Tags: 3D Graphics and Realism, Computer science, Virtual reality

December 8, 2010 by hgpu

GPU-based rendering of point-sampled water surfaces

Kei Iwasaki, Yoshinori Dobashi, Fujiichi Yoshimoto, Tomoyuki Nishita

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Tags: Computer science, Fluid simulation, nVidia, nVidia GeForce 7900 GTX, Real-time graphics, Rendering

December 8, 2010 by hgpu

Exploiting the Power of GPUs for Asymmetric Cryptography

Robert Szerwinski, Tim Guneysu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Security

December 8, 2010 by hgpu

Fast and exact solution of Total Variation models on the GPU

T. Pock, M. Unger, D. Cremers, H. Bischof

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX

December 8, 2010 by hgpu

SOMGPU: An unsupervised pattern classifier on Graphical Processing Unit

R. D. Prabhu

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Tags: Computer science, DirectX, Neural networks, nVidia, nVidia GeForce 6150, Self-organizing map

December 8, 2010 by hgpu

Fast support vector machine training and classification on graphics processors

Bryan Catanzaro, Narayanan Sundaram, Kurt Keutzer

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Tags: Algorithms, Computer science, CUDA, MapReduce, nVidia, nVidia GeForce 8800 GTX

December 7, 2010 by hgpu

Bandwidth intensive 3-D FFT kernel for GPUs using CUDA

Akira Nukada, Yasuhiko Ogata, Toshio Endo, Satoshi Matsuoka

Tags: Computer science, CUDA, FFT, nVidia

December 7, 2010 by hgpu

BSGP: bulk-synchronous GPU programming

Qiming Hou, Kun Zhou, Baining Guo

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX

December 7, 2010 by hgpu

Pangaea: a tightly-coupled IA32 heterogeneous chip multiprocessor

Henry Wong, Anne Bracy, Ethan Schuchman, Tor M. Aamodt, Jamison D. Collins, Perry H. Wang, Gautham Chinya, Ankur K. Groen, Hong Jiang, Hong Wang

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Tags: Computer science, FPGA, Hardware

December 7, 2010 by hgpu

A single-pass GPU ray casting framework for interactive out-of-core rendering of massive volumetric datasets

Gobbetti, Enrico, Marton, Fabio, Iglesias Guitian, Jose Antonio

Tags: 3D Graphics and Realism, Computer science, Rendering

December 7, 2010 by hgpu

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

A User’s Guide to KSig: GPU-Accelerated Computation of the Signature Kernel

IterApp: Iterative Application Skeleton

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs

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

See all packages

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high performance computing on graphics processing units: hgpu.org

High-Quality Rendering of Quartic Spline Surfaces on the GPU

A Resource Selection System for Cycle Stealing in GPU Grids

A new physics engine with automatic process distribution between CPU-GPU

GPU-based rendering of point-sampled water surfaces

Exploiting the Power of GPUs for Asymmetric Cryptography

Fast and exact solution of Total Variation models on the GPU

SOMGPU: An unsupervised pattern classifier on Graphical Processing Unit

Fast support vector machine training and classification on graphics processors

Bandwidth intensive 3-D FFT kernel for GPUs using CUDA

BSGP: bulk-synchronous GPU programming

Pangaea: a tightly-coupled IA32 heterogeneous chip multiprocessor

A single-pass GPU ray casting framework for interactive out-of-core rendering of massive volumetric datasets

Recent source codes

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

IterApp: Iterative Application Skeleton

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

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