high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Parallel Viewshed Analysis on GPU Using CUDA

Yingjie Xia, Yang Li, Xingmin Shi

Tags: CUDA, Image processing, nVidia

August 26, 2011 by hgpu

GPU Based Real-time Correction for Optical Distortions in Head-Mounted Displays

Dongdong Weng, Yongtian Wang, Yue Liu

Tags: Image processing, Optics

August 26, 2011 by hgpu

Acceleration of an improved Retinex algorithm

Yuan-Kai Wang, Wen-Bin Huang

Tags: Algorithms, Compression, CUDA, Image processing, nVidia

August 26, 2011 by hgpu

Accelerating tetrahedral interpolation with data-level and Thread-Level Parallel optimization

Jaewoo Ahn, Becksang Seong, Wonyong Sung

Tags: Algorithms, Data parallelism, Image processing, Optimization

August 26, 2011 by hgpu

Multi-level parallelism, global arrays, GPGPU Programming: Unify programming paradigms on Grid computing with efficiency

S. Sirisup, S. U-raekolan, E. Kijsipongse

Tags: Computer science, Grid, Heterogeneous systems

August 26, 2011 by hgpu

TH-1: China’s first petaflop supercomputer

Xuejun Yang, Xiangke Liao, Weixia Xu, Junqiang Song, Qingfeng Hu, Jinshu Su, Liquan Xiao, Kai Lu, Qiang Dou, Juping Jiang, Canqun Yang

Tags: ATI, ATI Radeon HD 4870, Computer science, GPU cluster, Hardware Architecture, Heterogeneous systems

August 25, 2011 by hgpu

Hera-JVM: a runtime system for heterogeneous multi-core architectures

Ross McIlroy, Joe Sventek

View

Download (PDF)

Tags: Cell processor, Computer science, Heterogeneous systems, Performance, Programming Languages

August 25, 2011 by hgpu

Parallelizing compiler framework and API for power reduction and software productivity of real-time heterogeneous multicores

Akihiro Hayashi, Yasutaka Wada, Takeshi Watanabe, Takeshi Sekiguchi, Masayoshi Mase, Jun Shirako, Keiji Kimura, Hironori Kasahara

View

Download (PDF)

Tags: Compilers, Computer science, Heterogeneous systems, Performance

August 25, 2011 by hgpu

MobiRT: an implementation of OpenGL ES-based CPU-GPU hybrid ray tracer for mobile devices

Jae-Ho Nah, Yoon-Sig Kang, Kwang-Jo Lee, Shin-Jun Lee, Tack-Don Han, Sung-Bong Yang

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 9800 GT, OpenGL, Raytracing

August 25, 2011 by hgpu

Considering GPGPU for HPC Centers: Is It Worth the Effort?

Hans Hacker, Carsten Trinitis, Josef Weidendorfer, Matthias Brehm

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Performance, Review, Tesla C1060

August 25, 2011 by hgpu

Towards a GPU-Based Simulation Framework for Deformable Surface Meshes

V. Kotamraju, S. Payandeh, J. Dill

Tags: 3D Graphics and Realism, Computer science, Dynamic surface, nVidia, nVidia GeForce 6600 GT, Sparse matrix

August 25, 2011 by hgpu

A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

Seokhyun Kim, Hak-yeol Sohn, Jin Ho Chang, Tai-kyoung Song, Yangmo Yoo

Tags: Algorithms, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, Ultrasound

August 25, 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

Parallel Viewshed Analysis on GPU Using CUDA

GPU Based Real-time Correction for Optical Distortions in Head-Mounted Displays

Acceleration of an improved Retinex algorithm

Accelerating tetrahedral interpolation with data-level and Thread-Level Parallel optimization

Multi-level parallelism, global arrays, GPGPU Programming: Unify programming paradigms on Grid computing with efficiency

TH-1: China’s first petaflop supercomputer

Hera-JVM: a runtime system for heterogeneous multi-core architectures

Parallelizing compiler framework and API for power reduction and software productivity of real-time heterogeneous multicores

MobiRT: an implementation of OpenGL ES-based CPU-GPU hybrid ray tracer for mobile devices

Considering GPGPU for HPC Centers: Is It Worth the Effort?

Towards a GPU-Based Simulation Framework for Deformable Surface Meshes

A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

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)