high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

Satvir Singh, Jaspreet Kaur, Rashmi Sharan Sinha

View

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Particle swarm optimization, Tesla C1060, Tesla C2050

August 23, 2014 by hgpu

Exploiting Parallel Processing Power of GPU for High Speed Frequent Pattern Mining

D.William Albert, Dr.K.Fayaz, D.Veerabhadra Babu

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5850, Computer science, Data mining, Databases, Java, Machine learning, OpenCL

August 23, 2014 by hgpu

GPGPU Programming for Games and Science

David H. Eberly

View

Download (PDF)

Source codes

Tags: Algorithms, Book, Computer science, DirectX, Games, HLSL, Package, Software Engineering

August 21, 2014 by hgpu

GPU accelerated rendering of vector based maps on iOS

Jonas Bromo, Alexander Qvick Faxa

View

Download (PDF)

Tags: Computer science, OpenGL, Optimization, Rendering, Thesis, Visualization

August 21, 2014 by hgpu

Volumetric Rendering Techniques for Scientific Visualization

Erhan Okuyan

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Mesh simplification, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 560, OpenMP, Rendering, Visualization

August 21, 2014 by hgpu

Error Resilience Evaluation on GPGPU Applications

Bo Fang

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Fault tolerance, nVidia, Package, Thesis

August 21, 2014 by hgpu

GPU Accelerated Range Trees with Applications

Manoj Maramreddy, Kishore Kothapalli

View

Download (PDF)

Tags: Computer science, CUDA, Databases, Graph theory, nVidia, nVidia GeForce GTX 580, OpenMP

August 19, 2014 by hgpu

Parallel Graph Mining with GPUs

Robest Kessl, Nilothpal Talukder, Pranay Anchuri, Mohammed J. Zaki

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Databases, Graph theory, nVidia, Tesla C2075

August 19, 2014 by hgpu

Parallel Outlier Detection on Uncertain Data for GPUs

Takazumi Matsumoto, Edward Hung, Man Lung Yiu

View

Download (PDF)

Tags: Algorithms, Clustering, Computer science, Data mining, nVidia, nVidia GeForce GT 440, OpenCL

August 19, 2014 by hgpu

Practical Symbolic Race Checking of GPU Programs

Peng Li, Guodong Li, Ganesh Gopalakrishnan

View

Download (PDF)

Source codes

Tags: Benchmarking, Computer science, CUDA, nVidia, Package, Performance

August 19, 2014 by hgpu

An OpenCL implementation of a forward sampling algorithm for CP-logic

Wiebe Van Ranst, Joost Vennekens

View

Download (PDF)

Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 295, OpenCL

August 18, 2014 by hgpu

Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware

Sebastian Bress, Max Heimel, Michael Saecker, Bastian Kocher, Volker Markl, Gunter Saake

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, OpenCL

August 18, 2014 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

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

Exploiting Parallel Processing Power of GPU for High Speed Frequent Pattern Mining

GPGPU Programming for Games and Science

GPU accelerated rendering of vector based maps on iOS

Volumetric Rendering Techniques for Scientific Visualization

Error Resilience Evaluation on GPGPU Applications

GPU Accelerated Range Trees with Applications

Parallel Graph Mining with GPUs

Parallel Outlier Detection on Uncertain Data for GPUs

Practical Symbolic Race Checking of GPU Programs

An OpenCL implementation of a forward sampling algorithm for CP-logic

Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware

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)