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Empirical analysis of a parallel data mining algorithm on a graphic processor

Davide Berdin

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Tags: Computer science, CUDA, Data mining, Data parallelism, nVidia, nVidia GeForce GTX 580, Thesis

October 20, 2012 by hgpu

Research on DSP-GPU Heterogeneous Computing System

Xiangzhen Li, Jingying Hu, Weiguo Lv, Guiqiang Wang, Xinrong Cai

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Tags: ATI, ATI Radeon HD 6760, Computer science, DSP, Heterogeneous systems, OpenCL, Particle swarm optimization, Task scheduling

October 20, 2012 by hgpu

A short guide to CUDA C: For physicists with multi-core graphics cards

David Plotzki

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Source codes

Tags: Computational Physics, Computer science, CUDA, nVidia, nVidia Quadro NVS 3100 M, Package, Physics, Tesla C1060, Tutorial

October 19, 2012 by hgpu

A Modular Framework for Deformation and Fracture using GPU Shaders

Derek John Morris, Eike Falk Anderson, Christopher Peters

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 4870 X2, Computer science, DirectX, HLSL, nVidia, nVidia GeForce GT 230 M

October 19, 2012 by hgpu

Accelerated GPU Powered Methods for Auditing Security of Wireless Networks Using Probabilistic Password Generation

Jan Krekan, Lubomir Dobos, Matus Pleva

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Tags: ATI, ATI Radeon HD 6850, Computer science, CUDA, Security

October 19, 2012 by hgpu

A Hybrid CPU/GPU Cluster for Encryption and Decryption of Large Amounts of Data

Ewa Niewiadomska-Szynkiewicz, Michal Marks, Jaroslaw Jantura, Mikolaj Podbielski

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Tags: ATI, ATI FirePro V7800, ATI Radeon HD 6970, Computer science, Distributed computing, GPU cluster, nVidia, OpenCL, Security, Tesla M2050

October 19, 2012 by hgpu

A Novel Learning Algorithm for Bayesian Network and Its Efficient Implementation on GPU

Yu Wang, Weikang Qian, Shuchang Zhang, Bo Yuan

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Tags: Algorithms, Bayesian, Computational Complexity, Computer science, CUDA, nVidia, Tesla M2090

October 19, 2012 by hgpu

Comparative Evaluation of Binary Features

Jared Heinly, Enrique Dunn, Jan-Michael Frahm

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 285

October 18, 2012 by hgpu

Efficient 2D Software Rendering

Peter Mileff, Judit Dudra

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Tags: ATI, ATI Radeon HD 5670, Computer science, OpenGL, Rasterization, Real-time graphics, Rendering, Review

October 18, 2012 by hgpu

GPU-based Batched Spatial Query Processing on R-Trees

Simin You, Jianting Zhang

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Tags: Computer science, CUDA, Databases, Graph theory, nVidia, nVidia Quadro FX 6000

October 18, 2012 by hgpu

Enhancing Productivity and Performance Portability of General-Purpose Parallel Programming

Alexandros Tzannes

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Tags: Compilers, Computer science, Programming techniques, Thesis

October 17, 2012 by hgpu

Generalized Resource Allocation for the Cloud

Anshul Rai, Ranjita Bhagwan, Saikat Guha

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Tags: ATI, ATI Radeon HD 6990, Cloud, Computer science, nVidia, OpenCL, Performance, Tesla C2075, Virtualization

October 17, 2012 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Empirical analysis of a parallel data mining algorithm on a graphic processor

Research on DSP-GPU Heterogeneous Computing System

A short guide to CUDA C: For physicists with multi-core graphics cards

A Modular Framework for Deformation and Fracture using GPU Shaders

Accelerated GPU Powered Methods for Auditing Security of Wireless Networks Using Probabilistic Password Generation

A Hybrid CPU/GPU Cluster for Encryption and Decryption of Large Amounts of Data

A Novel Learning Algorithm for Bayesian Network and Its Efficient Implementation on GPU

Comparative Evaluation of Binary Features

Efficient 2D Software Rendering

GPU-based Batched Spatial Query Processing on R-Trees

Enhancing Productivity and Performance Portability of General-Purpose Parallel Programming

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

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

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