high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

In Search of Self-Organization

Dustin Lockhart Arendt

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Tags: Cellular automata, Computer science, nVidia, nVidia GeForce 9600 GT, OpenCL, Thesis

July 18, 2012 by hgpu

Offloading Critical Security Operations to the GPU

Frank Yi-Fei Wang

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Tags: Computer science, CUDA, nVidia, Security, Thesis

July 18, 2012 by hgpu

Robust GPGPU plugin development for RapidMiner

Andor Kovacs, Zoltan Prekopcsak

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Tags: Algorithms, Computer science, CUDA, Data mining, Nearest neighbour, nVidia, nVidia GeForce GTX 480

July 18, 2012 by hgpu

Temporal Blending for Adaptive SPH

Jens Orthmann, Andreas Kolb

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Tags: 3D Graphics and Realism, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce GTX 580, Particle simulation

July 18, 2012 by hgpu

CuNesl: Compiling Nested Data-Parallel Languages for SIMT Architectures

Yongpeng Zhang, Frank Mueller

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 480

July 17, 2012 by hgpu

Interactively Simulating Fluid based on SPH and CUDA

Yige Tang, Zhongke Wu, Mingquan Zhou

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Tags: Computer science, CUDA, Fluid simulation, GLSL, nVidia, nVidia GeForce GTX 570, OpenGL

July 17, 2012 by hgpu

CUSIMANN: An optimized simulated annealing software for GPUs

Ana Maria Ferreiro Ferreiro, Jose Antonio Garcia Rodriguez, Jose German Lopez Salas, Carlos Vazquez Cendon

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Package

July 17, 2012 by hgpu

Multicore and Manycore Algorithms for Octrees

Dhanavath Saida

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, Thesis

July 17, 2012 by hgpu

Optimizing MapReduce for GPUs with effective shared memory usage

Linchuan Chen, Gagan Agrawal

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Tags: Computer science, Heterogeneous systems, MapReduce, Memory, nVidia, nVidia Quadro FX 5800, Performance

July 16, 2012 by hgpu

Sparse Matrix-Vector Multiplication on NVIDIA GPU

Hui Liu, Song Yu, Zhangxin Chen, Ben Hsieh, Lei Shao

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Tags: Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050, Tesla C2070

July 16, 2012 by hgpu

Sparse Matrix Matrix Multiplication on Hybrid CPU+GPU Platforms

Kiran Kumar Matam, Siva Rama Krishna Bharadwaj, Kishore Kothapalli

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Optimization, Sparse matrix, Tesla C2050

July 16, 2012 by hgpu

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

Abdullah Gharaibeh, Lauro Beltrao Costa, Elizeu Santos-Neto, Matei Ripeanu

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Tags: Computer science, CUDA, Graph theory, Heterogeneous systems, nVidia, Optimization, Performance, Programming Languages, Programming techniques, Tesla C2050

July 16, 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

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high performance computing on graphics processing units: hgpu.org

Applications

In Search of Self-Organization

Offloading Critical Security Operations to the GPU

Robust GPGPU plugin development for RapidMiner

Temporal Blending for Adaptive SPH

CuNesl: Compiling Nested Data-Parallel Languages for SIMT Architectures

Interactively Simulating Fluid based on SPH and CUDA

CUSIMANN: An optimized simulated annealing software for GPUs

Multicore and Manycore Algorithms for Octrees

Optimizing MapReduce for GPUs with effective shared memory usage

Sparse Matrix-Vector Multiplication on NVIDIA GPU

Sparse Matrix Matrix Multiplication on Hybrid CPU+GPU Platforms

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

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

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