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A GPU implementation of the Simulated Annealing Heuristic for the Quadratic Assignment Problem

Gerald Paul

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Tags: Computer science, CUDA, Metaheuristics, nVidia, Tesla C2070

August 14, 2012 by hgpu

Real-Time Exact Graph Matching with Application in Human Action Recognition

Oya Celiktutan, Christian Wolf, Bulent Sankur, Eric Lombardi

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 560, Pattern recognition

August 13, 2012 by hgpu

Spiking Neural Networks for Real-Time Infrared Images Processing in Thermo Vision Systems

Snejana Pleshkova

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280

August 13, 2012 by hgpu

Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

Kyungjoo Kim, Victor Eijkhout, Robert A. van de Geijn

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Tags: Computer science, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5800, Package, Tesla M2070, Tesla S1070

August 13, 2012 by hgpu

Designing OP2 for GPU architectures

M.B. Giles, G.R. Mudalige, B. Spencer, C. Bertolli, I. Reguly

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Tags: Computer science, nVidia, nVidia GeForce GTX 560 Ti, Optimization, Package, Performance, Tesla C2070

August 11, 2012 by hgpu

OP2: An Active Library Framework for Solving Unstructured Mesh-based Applications on Multi-Core and Many-Core Architectures

G.R. Mudalige, M.B. Giles, I. Reguly, C. Bertolli, P.H.J Kelly

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, nVidia, Performance, Tesla C2050, Tesla C2070

August 11, 2012 by hgpu

Large Scale Monte Carlo Tree Search on GPU

Kamil Marek Rocki

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Games, nVidia, Optimization, Search, Tesla C2050, Thesis

August 11, 2012 by hgpu

Weighted Block-Asynchronous Iteration on GPU-Accelerated Systems

Hartwig Anzt, Stanimire Tomov, Jack Dongarra, Vincent Heuveline

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2050

August 10, 2012 by hgpu

Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators

Ahmad Abdelfattah, Jack Dongarra, David Keyes, Hatem Ltaief

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Tags: Computer science, CUBLAS, CUDA, nVidia, Optimization, Package, Tesla C2070

August 10, 2012 by hgpu

Block-Relaxation Methods for 3D Constant-Coefficient Stencils on GPUs and Multicore CPUs

Manuel Rodriguez Rodriguez, Bobby Philip, Zhen Wang, Mark Berrill

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Tesla C2050, Tesla X2090

August 10, 2012 by hgpu

CPU-GPU Algorithms for Triangular Surface Mesh Simplification

Suzanne M. Shontz, Dragos M. Nistor

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Tags: 3D Graphics and Realism, Algorithms, Compression, Computer science, CUDA, Mesh simplification, nVidia, nVidia GeForce GT 550 M

August 9, 2012 by hgpu

Kargus: a Highly-scalable Software-based Intrusion Detection System

Muhammad Jamshed, Jihyung Lee, Sangwoo Moon, Insu Yun, Deokjin Kim, Sungryoul Lee, Yung Yi, KyoungSoo Park

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Security

August 9, 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

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high performance computing on graphics processing units: hgpu.org

Applications

A GPU implementation of the Simulated Annealing Heuristic for the Quadratic Assignment Problem

Real-Time Exact Graph Matching with Application in Human Action Recognition

Spiking Neural Networks for Real-Time Infrared Images Processing in Thermo Vision Systems

Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

Designing OP2 for GPU architectures

OP2: An Active Library Framework for Solving Unstructured Mesh-based Applications on Multi-Core and Many-Core Architectures

Large Scale Monte Carlo Tree Search on GPU

Weighted Block-Asynchronous Iteration on GPU-Accelerated Systems

Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators

Block-Relaxation Methods for 3D Constant-Coefficient Stencils on GPUs and Multicore CPUs

CPU-GPU Algorithms for Triangular Surface Mesh Simplification

Kargus: a Highly-scalable Software-based Intrusion Detection System

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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