high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Massively Parallel Network Coding on GPUs

Xiaowen Chu, Kaiyong Zhao, Mea Wang

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Networks, nVidia, nVidia GeForce GTX 260

June 6, 2011 by hgpu

Real-time 3D surface modeling for image based relighting

Sae-woon Ryu, Sang Hwa Lee, Jong-il Park

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Computer science, Real-time graphics, Rendering

June 6, 2011 by hgpu

Leveraging Computation Sharing and Parallel Processing in Location-Based Services

Jonathan Cazalas, Kien Hua

Tags: Algorithms, Computer science, Databases

June 6, 2011 by hgpu

An adaptive octree textures painting algorithm

Gang Dang, Hang Li, Zhi-Quan Cheng, Kai Xu, Yan-Zhen Wang, Bao Li

Tags: 3D Graphics and Realism, Algorithms, Image generation, Image processing

June 6, 2011 by hgpu

Exploiting Computing Power on Graphics Processing Unit

Ziyi Liu, Wenjing Ma

Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Performance

June 5, 2011 by hgpu

Large neighborhood local search optimization on graphics processing units

The Van Luong, Nouredine Melab, El-Ghazali Talbi

View

Download (PDF)

Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 280, Search

June 5, 2011 by hgpu

Employ Bump Mapping to Enrich the 3D NPR Image

Zhien Luo

Tags: 3D Graphics and Realism, Image processing, Rendering

June 5, 2011 by hgpu

How to Render FDTD Computations More Effective Using a Graphics Accelerator

P. Sypek, A. Dziekonski, M. Mrozowski

Tags: Computer science, FDTD, Finite-difference time-domain

June 5, 2011 by hgpu

Interective Point Clouds Fairing on Many-Core System

Tang Jie, Wu Gangshan, Xu Bo, Gong Zhongliang

Tags: Computer science, CUDA, Nearest neighbour, nVidia

June 5, 2011 by hgpu

I3DC: Interactive Three-Dimensional Cubes

Ke Yang, Yinan Li, Qiong Luo, P.V. Sander, Jiaoying Shi

Tags: Computer science, Rendering, Visualization

June 5, 2011 by hgpu

Implementation of association rule mining using CUDA

S.H. Adil, S. Qamar

Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 200

June 5, 2011 by hgpu

Efficient Embarrassingly Parallel on Graphics Processor Unit

Chunye Gong, Jie Liu, Jin Qin, Qingfeng Hu, Zhenghu Gong

Tags: Benchmarking, Computer science, CUDA, nVidia, Performance, Pseudo-random number generators, Tesla T10

June 5, 2011 by hgpu

CUDAnalyst (CUDA + Analyst)

Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

CodegenBench

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Massively Parallel Network Coding on GPUs

Real-time 3D surface modeling for image based relighting

Leveraging Computation Sharing and Parallel Processing in Location-Based Services

An adaptive octree textures painting algorithm

Exploiting Computing Power on Graphics Processing Unit

Large neighborhood local search optimization on graphics processing units

Employ Bump Mapping to Enrich the 3D NPR Image

How to Render FDTD Computations More Effective Using a Graphics Accelerator

Interective Point Clouds Fairing on Many-Core System

I3DC: Interactive Three-Dimensional Cubes

Implementation of association rule mining using CUDA

Efficient Embarrassingly Parallel on Graphics Processor Unit

Recent source codes

CUDAnalyst (CUDA + Analyst)

CodegenBench

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Device Virtual Machine (DVM)

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

Most viewed papers (last 30 days)