high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Nonnegative Tensor Factorization Accelerated Using GPGPU

Jukka Antikainen, Jiri Havel, Radovan Josth, Adam Herout, Pavel Zemcik, Markku Hauta-Kasari

Tags: Computer science, CUDA, Nonnegative matrix factorization, nVidia

July 2, 2011 by hgpu

Integrating Object Detection with 3D Tracking Towards a Better Driver Assistance System

Victor Adrian Prisacariu, Radu Timofte, Karel Zimmermann, Ian Reid, Luc Van Gool

View

Download (PDF)

Tags: Computer science, Computer vision, Pattern recognition

July 2, 2011 by hgpu

Massively parallel two-dimensional TLM algorithm on graphics processing units

Filippo V. Rossi, Poman P. M. So, Nikolaus Fichtner, Peter Russer

View

Download (PDF)

Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 8800 Ultra

July 2, 2011 by hgpu

Compressed Facade Displacement Maps

Saif Ali, Jieping Ye, Anshuman Razdan, Peter Wonka

View

Download (PDF)

Tags: Computer science, nVidia, nVidia GeForce 8800 GTX, OpenGL, Raytracing, Real-time graphics, Rendering

July 2, 2011 by hgpu

Real-Time Reconstruction of Sensitivity Encoded Radial Magnetic Resonance Imaging Using a Graphics Processing Unit

T.S. Sorensen, D. Atkinson, T. Schaeffter, M.S. Hansen

Tags: Image processing, Image reconstruction, MRI

July 2, 2011 by hgpu

Parallelization of RSA Algorithm Based on Compute Unified Device Architecture

Wenjun Fan, Xudong Chen, Xuefeng Li

Tags: Computer science, CUDA, nVidia, Security

July 2, 2011 by hgpu

Visualizing and Analyzing the Mona Lisa

Louis Borgeat, Guy Godin, Philippe Massicotte, Guillaume Poirier, Francois Blais, J.-Angelo Beraldin

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

July 2, 2011 by hgpu

Size-based Transfer Functions: A New Volume Exploration Technique

Carlos D. Correa, Kwan-Liu Ma

View

Download (PDF)

Tags: Computer science, Medicine, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering, Visualization

July 1, 2011 by hgpu

Adaptive proxy geometry for direct volume manipulation

Megumi Nakao, Kei Wai Cecilia Hung, Satoshi Yano, Koji Yoshimura, Kotaro Minato

View

Download (PDF)

Tags: 3D Graphics and Realism, GLSL, Medicine, nVidia, nVidia GeForce GTX 260, OpenGL, Surgical simulation, Visualization

July 1, 2011 by hgpu

Graphics processing unit accelerated non-uniform fast Fourier transform for ultrahigh-speed, real-time Fourier-domain OCT

Kang Zhang, Jin U. Kang

View

Download (PDF)

Tags: CUDA, FFT, Image processing, Medicine, nVidia, nVidia GeForce GTX 480, Optics, Tomography

July 1, 2011 by hgpu

Increasing Realism and Supporting Content Planning for Dynamic Scenes in a Mixed Reality System incorporating a Time-of-Flight Camera

Ingo Schiller, Bogumil Bartczak, Falko Kellner, Reinhard Koch

View

Download (PDF)

Tags: Computer science, Computer vision, Mediated reality, OpenGL, Rendering, Video tracking

July 1, 2011 by hgpu

GPU-assisted positive mean value coordinates for mesh deformations

Yaron Lipman, Johannes Kopf, Daniel Cohen-Or, David Levin

View

Download (PDF)

Tags: Algorithms, Computer science, Image generation

July 1, 2011 by hgpu

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Nonnegative Tensor Factorization Accelerated Using GPGPU

Integrating Object Detection with 3D Tracking Towards a Better Driver Assistance System

Massively parallel two-dimensional TLM algorithm on graphics processing units

Compressed Facade Displacement Maps

Real-Time Reconstruction of Sensitivity Encoded Radial Magnetic Resonance Imaging Using a Graphics Processing Unit

Parallelization of RSA Algorithm Based on Compute Unified Device Architecture

Visualizing and Analyzing the Mona Lisa

Size-based Transfer Functions: A New Volume Exploration Technique

Adaptive proxy geometry for direct volume manipulation

Graphics processing unit accelerated non-uniform fast Fourier transform for ultrahigh-speed, real-time Fourier-domain OCT

Increasing Realism and Supporting Content Planning for Dynamic Scenes in a Mixed Reality System incorporating a Time-of-Flight Camera

GPU-assisted positive mean value coordinates for mesh deformations

Recent source codes

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Most viewed papers (last 30 days)