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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

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

Computing Reachable Sets via Barrier Methods on SIMD Architectures

Lars Grune, Thomas U. Jahn

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Tags: Algorithms, CUDA, Linear Algebra, Mathematics, nVidia, ODEs, Ordinary differential equations

October 18, 2012 by hgpu

Strain Visualization of Ultra Sound Signals Processed by General Purpose Graphic Process Unit

Luis Alvarez

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Tags: CUDA, Image processing, nVidia, nVidia Quadro FX 600, Signal processing, Thesis, Ultrasound, Visualization

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

Platform-independent parallelization of the Lattice Boltzmann method with OpenCL

Carolin Wolf

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Tags: Algorithms, ATI, ATI Mobility Radeon HD 5470, ATI Radeon HD 4870, Fluid dynamics, Lattice Boltzmann model, nVidia, OpenCL, Tesla M1060, Thesis

October 17, 2012 by hgpu

Design and Performance Evaluation of a Software Framework for Multi-Physics Simulations on Heterogeneous Supercomputers

Christian Feichtinger

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Tags: CUDA, Fluid dynamics, GPU cluster, Heterogeneous systems, Lattice Boltzmann model, MPI, Numerical simulation, nVidia, Tesla M2050, Tesla M2070, 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

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

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high performance computing on graphics processing units: hgpu.org

Programming

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

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

Computing Reachable Sets via Barrier Methods on SIMD Architectures

Strain Visualization of Ultra Sound Signals Processed by General Purpose Graphic Process Unit

GPU-based Batched Spatial Query Processing on R-Trees

Platform-independent parallelization of the Lattice Boltzmann method with OpenCL

Design and Performance Evaluation of a Software Framework for Multi-Physics Simulations on Heterogeneous Supercomputers

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

Accelerating Fully Homomorphic Encryption on GPUs

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PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

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