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FFT Parallel Implementation for MRI Image Reconstruction

Andrei Tugui

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Tags: CUDA, FFT, Image processing, Image reconstruction, MRI, nVidia, nVidia Quadro FX 4400

December 12, 2012 by hgpu

Implementation of Advanced Encryption Standard for encryption and decryption of images and text on a GPU

Manoj Seshadrinathan, Kelly L. Dempski

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Tags: AES, Computer science, HLSL, Image processing, nVidia, nVidia GeForce 7800, nVidia Quadro FX 3000, nVidia Quadro FX 3400, nVidia Quadro FX 4400, Security

May 16, 2011 by hgpu

Programmable shaders for deformation rendering

Carlos D. Correa, Deborah Silver

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia Quadro FX 4400, Rendering, Shaders

February 8, 2011 by hgpu

Impostors and pseudo-instancing for GPU crowd rendering

Erik Millan, Isaac Rudomin

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia Quadro FX 4400, OpenGL

December 28, 2010 by hgpu

Impostors, Pseudo-instancing and Image Maps for GPU Crowd Rendering

Erik Millan, Isaac Rudomin

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia Quadro FX 4400, OpenGL, Rendering

December 25, 2010 by hgpu

Feature Aligned Volume Manipulation for Illustration and Visualization

Carlos Correa, Deborah Silver, Min Chen

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Tags: Medicine, nVidia, nVidia Quadro FX 4400, Rendering, Visualization

December 4, 2010 by hgpu

The application of GPU particle tracing to diffusion tensor field visualization

P. Kondratieva, J. Kruger, R. Westermann

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Tags: Computer science, Medicine, nVidia, nVidia Quadro FX 4400, Shaders, Visualization

November 30, 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

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high performance computing on graphics processing units: hgpu.org

FFT Parallel Implementation for MRI Image Reconstruction

Implementation of Advanced Encryption Standard for encryption and decryption of images and text on a GPU

Programmable shaders for deformation rendering

Impostors and pseudo-instancing for GPU crowd rendering

Impostors, Pseudo-instancing and Image Maps for GPU Crowd Rendering

Feature Aligned Volume Manipulation for Illustration and Visualization

The application of GPU particle tracing to diffusion tensor field visualization

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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