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

David Plotzki

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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

Performance Analysis Cluster and GPU Computing Environment on Molecular Dynamic Simulation of BRV-1 and REM2 with GROMACS

Heru Suhartanto, Arry Yanuar, Ari Wibisono

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Tags: Cluster computing, Computer science, CUDA, GPU cluster, Molecular dynamics, nVidia, nVidia GeForce GTS 250, nVidia GeForce GTX 465, nVidia GeForce GTX 470, nVidia Quadro FX 4000

October 17, 2012 by hgpu

Accelerating Fully Homomorphic Encryption on GPUs

Wei Wang, Yin Hu, Lianmu Chen, Xinming Huang, Berk Sunar

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, Security, Tesla C2050

October 16, 2012 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Performance Analysis Cluster and GPU Computing Environment on Molecular Dynamic Simulation of BRV-1 and REM2 with GROMACS

Accelerating Fully Homomorphic Encryption on GPUs

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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