high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Parallel latent semantic analysis using a graphics processing unit

Joseph M. Cavanagh, Thomas E. Potok, Xiaohui Cui

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Text mining

November 21, 2010 by hgpu

Using graphics processors for high performance IR query processing

Shuai Ding, Jinru He, Hao Yan, Torsten Suel

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Search

November 21, 2010 by hgpu

A novel multiple-walk parallel algorithm for the Barnes-Hut treecode on GPUs – towards cost effective, high performance N-body simulation

Tsuyoshi Hamada, Keigo Nitadori, Khaled Benkrid, Yousuke Ohno, Gentaro Morimoto, Tomonari Masada, Yuichiro Shibata, Kiyoshi Oguri, Makoto Taiji

Tags: Algorithms, Computer science, CUDA, GPU cluster, N-body simulation, nVidia, nVidia GeForce 8800 GTS

November 20, 2010 by hgpu

A training-free nose tip detection method from face range images

Xiaoming Peng, Mohammed Bennamoun, Ajmal S. Mian

Tags: Biometrics, Computer science, Computer vision

November 20, 2010 by hgpu

GPGPU computation and visualization of three-dimensional cellular automata

Stephane Gobron, Arzu Coltekin, Herve Bonafos and Daniel Thalmann

View

Download (PDF)

Source codes

Tags: Cellular automata, Computer science, Medicine, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, Visualization

November 20, 2010 by hgpu

Curling and clumping fur represented by texture layers

Paulo Silva, Yosuke Bando, Bing-Yu Chen, Tomoyuki Nishita

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8800 GTS

November 20, 2010 by hgpu

Efficient evaluation methods of elementary functions suitable for SIMD computation

Naoki Shibata

Tags: Algorithms, Computer science, Elementary functions

November 20, 2010 by hgpu

Real-time computation of photic extremum lines (PELs)

Long Zhang, Ying He, Hock-Soon Seah

View

Download (PDF)

Tags: 3D Graphics and Realism, Cg, Computer science, nVidia, nVidia GeForce GTX 285

November 20, 2010 by hgpu

Perceptual enhancement of two-level volume rendering

Andrew Corcoran, Niall Redmond, John Dingliana

View

Download (PDF)

Tags: Algorithms, Computer science, Medicine, Rendering, Visualization

November 20, 2010 by hgpu

Skeleton and Shape Adjustment and Tracking in Multicamera Environments

Marcel Alcoverro, Josep Ramon Casas and Montse Pardas

View

Download (PDF)

Tags: Computer science, Video tracking

November 20, 2010 by hgpu

An instruction-systolic programmable shader architecture for multi-threaded 3D graphics processing

Jung-Wook Park, Hoon-Mo Yang, Gi-Ho Park, Shin-Dug Kim, Charles C. Weems

Tags: Algorithms, Computer science, Hardware, Optimization

November 20, 2010 by hgpu

A middleware for efficient stream processing in CUDA

Shinta Nakagawa, Fumihiko Ino, Kenichi Hagihara

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization

November 20, 2010 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

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

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Parallel latent semantic analysis using a graphics processing unit

Using graphics processors for high performance IR query processing

A novel multiple-walk parallel algorithm for the Barnes-Hut treecode on GPUs – towards cost effective, high performance N-body simulation

A training-free nose tip detection method from face range images

GPGPU computation and visualization of three-dimensional cellular automata

Curling and clumping fur represented by texture layers

Efficient evaluation methods of elementary functions suitable for SIMD computation

Real-time computation of photic extremum lines (PELs)

Perceptual enhancement of two-level volume rendering

Skeleton and Shape Adjustment and Tracking in Multicamera Environments

An instruction-systolic programmable shader architecture for multi-threaded 3D graphics processing

A middleware for efficient stream processing in CUDA

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

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

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

Most viewed papers (last 30 days)