high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Distributed OpenCL: a platform for distributed, heterogeneous computing for domain scientists

William H. Dillon (William Hall)

View

Tags: ATI, ATI Radeon HD 4870, Computer science, Distributed computing, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL

July 16, 2012 by hgpu

Coupling between Meshless FEM Modeling and Rendering on GPU for Real-time Physically-based Volumetric Deformation

Muhammad Mobeen Movania, Feng Lin, Kemao Qian, Wei Ming Chiew, Hock Soon Seah

View

Download (PDF)

Tags: Algorithms, Computer science, FEM, Finite element method, GLSL, nVidia, nVidia Quadro FX 5800, OpenGL, Real-time graphics, Rendering

July 15, 2012 by hgpu

ab-Stream: A Framework for programming Many-core

Xinbiao Gan, Zhiying Wang, Li Shen, Qi Zhu

View

Download (PDF)

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

July 15, 2012 by hgpu

Implementing a Code Generator for Fast Matrix Multiplication in OpenCL on the GPU

Kazuya Matsumoto, Naohito Nakasato, Stanislav G. Sedukhin

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Code generation, Computer science, Matrix multiplication, OpenCL

July 15, 2012 by hgpu

Distributed OpenCL Distributing OpenCL Platform on Network Scale

Baris Eskikaya, D Turgay Altilar

View

Download (PDF)

Tags: ATI, ATI Radeon HD 6370 M, Computer science, Distributed computing, GPU cluster, nVidia, nVidia GeForce GT 240 M, nVidia GeForce GT 520 M, nVidia GeForce GT 525 M, nVidia GeForce GTX 540 M, nVidia GeForce GTX 555 M, OpenCL

July 15, 2012 by hgpu

Optimizing All-to-All and Allgather Communications on GPGPU Clusters

Ashish Kumar Singh

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Tesla C2050, Thesis

July 14, 2012 by hgpu

A Survey of Cloud Lighting and Rendering Techniques

Roland Hufnagel, Martin Held

View

Download (PDF)

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

July 14, 2012 by hgpu

GPU Based Computation of the Structural Tensor for Real-Time Figure Detection

Marcin Bugaj, Boguslaw Cyganek

View

Download (PDF)

Source codes

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8400 M GS, nVidia Quadro FX 3800 M, Package

July 14, 2012 by hgpu

Development of Parallel Computation Tools

Pang Tao

View

Download (PDF)

Tags: Computer science, CUDA, FEM, Finite element method, Laplace and Poisson equation, nVidia, Tesla C2075

July 13, 2012 by hgpu

Fusion of Morphological Images for Airborne Target Detection

Alexander Wainwright, Jason J. Ford

View

Download (PDF)

Tags: Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Signal processing

July 13, 2012 by hgpu

Towards Parallel Programming Models for Predictability

Bjorn Lisper

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, OpenCL, Performance

July 12, 2012 by hgpu

CUDA implementation of the algorithm for simulating the epidemic spreading over large networks

Matija Sosic, Mile Sikic

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570

July 12, 2012 by hgpu

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Distributed OpenCL: a platform for distributed, heterogeneous computing for domain scientists

Coupling between Meshless FEM Modeling and Rendering on GPU for Real-time Physically-based Volumetric Deformation

ab-Stream: A Framework for programming Many-core

Implementing a Code Generator for Fast Matrix Multiplication in OpenCL on the GPU

Distributed OpenCL Distributing OpenCL Platform on Network Scale

Optimizing All-to-All and Allgather Communications on GPGPU Clusters

A Survey of Cloud Lighting and Rendering Techniques

GPU Based Computation of the Structural Tensor for Real-Time Figure Detection

Development of Parallel Computation Tools

Fusion of Morphological Images for Airborne Target Detection

Towards Parallel Programming Models for Predictability

CUDA implementation of the algorithm for simulating the epidemic spreading over large networks

Recent source codes

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

Most viewed papers (last 30 days)