high performance computing on graphics processing units: hgpu.org

Won-Ki Jeong, Jens Schneider, Stephen G. Turney, Beverly E. Faulkner-Jones, Dominik Meyer, Rudiger Westermann, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister

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Tags: Image processing, Medicine, nVidia, nVidia GeForce GTX 285, OpenGL, Texture detection, Visualization

June 17, 2011 by hgpu

Using the PhysX engine for physics-based virtual surgery with force feedback

Anderson Maciel, Tansel Halic, Zhonghua Lu, Luciana P. Nedel, Suvranu De

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8800 GTX, Rendering, Surgical simulation

June 16, 2011 by hgpu

Perception-aware Depth Cueing for Illustrative Vascular Visualization

Alan Chu, Wing-Yin Chan, Jixiang Guo, Wai-Man Pang, Pheng-Ann Heng

Tags: 3D Graphics and Realism, Medicine, Rendering, Visualization

June 8, 2011 by hgpu

Stress Tensor Field Visualization for Implant Planning in Orthopedics

Christian Dick, Joachim Georgii, Rainer Burgkart, Rudiger Westermann

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Tags: Medicine, nVidia, nVidia GeForce GTX 280, Rendering, Visualization

June 8, 2011 by hgpu

Lightweight bleeding and smoke effect for surgical simulators

T. Halic, S. De

Tags: Medicine, Surgical simulation, Virtual reality

June 7, 2011 by hgpu

Fast Hardware-Accelerated Volume Rendering of CT Scans

Ronghua Liang, Zhigeng Pan, M. Krokos, Mao Chen, Jiarui Bao, Cheng Li

Tags: Computed tomography, CT, Image processing, Medicine, Rendering

June 6, 2011 by hgpu

FBLAS: BLAS implementation for Intel FPGA

FBLAS: Streaming Linear Algebra Kernels on FPGA

FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things

Titan: A CUDA-based physics simulation sandbox for high-performance robotics, physics, and reinforcement learning applications

Titan: A Parallel Asynchronous Library for Multi-Agent and Soft-Body Robotics using NVIDIA CUDA

onYourMarks: A deep learning benchmark implementation for Nvidia's Jetson TX2

Benchmarking Deep Learning Models on Jetson TX2

Hacking Neural Networks: A small course on exploiting and defending neural networks

Hacking Neural Networks: A Short Introduction

A Computing Kernel for Network Binarization on PyTorch

Deep Learning Based FPGA-CPU Acceleration

KTT: Kernel Tuning Toolkit

Framework for Parallel Kernels Auto-tuning

SHA512AOCLStudy

Study of OpenCL Processing Models for FPGA Devices

KLARAPTOR: A Tool for Dynamically Finding Optimal Kernel Launch Parameters Targeting CUDA Programs

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high performance computing on graphics processing units: hgpu.org

GPU accelerated high intensity ultrasound acoustical power computation

Optimized GPU histograms for multi-modal registration

Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients

GPU-based motion correction of contrast-enhanced liver MRI scans: An OpenCL implementation

GPU accelerated rotation-based emission tomography reconstruction

Visualisation of Physical Lung Simulation: an Interactive Application to Assist Physicians

Interactive Histology of Large-Scale Biomedical Image Stacks

Using the PhysX engine for physics-based virtual surgery with force feedback

Perception-aware Depth Cueing for Illustrative Vascular Visualization

Stress Tensor Field Visualization for Implant Planning in Orthopedics

Lightweight bleeding and smoke effect for surgical simulators

Fast Hardware-Accelerated Volume Rendering of CT Scans

Recent source codes

FBLAS: BLAS implementation for Intel FPGA

FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things

Titan: A CUDA-based physics simulation sandbox for high-performance robotics, physics, and reinforcement learning applications

onYourMarks: A deep learning benchmark implementation for Nvidia's Jetson TX2

Hacking Neural Networks: A small course on exploiting and defending neural networks

A Computing Kernel for Network Binarization on PyTorch

Deep Learning Based FPGA-CPU Acceleration

KTT: Kernel Tuning Toolkit

SHA512AOCLStudy

KLARAPTOR: A Tool for Dynamically Finding Optimal Kernel Launch Parameters Targeting CUDA Programs

Most viewed papers (last 30 days)

Featured events

8th International Workshop on OpenCL, including SYCLCon, 2019

7th International Workshop on OpenCL, 2019

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

International Conference on Frontiers of Neural Networks (ICFNN), 2019