high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Design and Optimization of Hybrid MD5-Blowfish Encryption on GPUs

Zhu Wang, Josh Graham, Noura Ajam, Hai Jiang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Optimization, Security, Tesla C2070

December 3, 2011 by hgpu

Mapping the Arnold web with a graphic processing unit

A. Seibert, S. Denisov, Alexey V. Ponomarev, P. Hanggi

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Tags: Chaotic Dynamics, Computational Physics, CUDA, Nonlinear Sciences, nVidia, Physics, Tesla M2050

December 3, 2011 by hgpu

Comparison of CPML Implementations for the GPU-Accelerated FDTD Solver

J.I. Toivanen, T.P. Stefanski, N. Kuster, N. Chavannes

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Tags: Benchmarking, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Tesla C1060

December 3, 2011 by hgpu

EM+TV for Reconstruction of Cone-beam CT with Curved Detectors using GPU

Jianwen Chen, Ming Yan, Luminita A. Vese, John Villasenor, Alex Bui, Jason Cong

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Tags: Algorithms, Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, Tesla C1060, Tomography

December 3, 2011 by hgpu

On the design of architecture-aware algorithms for emerging applications

Seunghwa Kang

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Tags: Algorithms, Benchmarking, Biology, Cell processor, Computational biology, CUDA, Image processing, MapReduce, nVidia, Package, Tesla C1060, Thesis

December 2, 2011 by hgpu

Effective GPU Strategies for LU Decomposition

Dinesh Bandara, Nalin Ranasinghe

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Tags: Algorithms, Computer science, CUDA, Matrix decomposition, nVidia, Tesla C1060

December 2, 2011 by hgpu

Efficient Cubic B-spline Image Interpolation on a GPU

Frederic Champagnat, Yves Le Sant

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 260 M, Package, Tesla C2050

December 2, 2011 by hgpu

Massively Parallelized Monte Carlo Simulation and its Applications in Finance

Ashkan Ziabakhshdeylami, Lauren Looi

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Tags: Algorithms, Finance, Monte Carlo simulation, nVidia, Risk Management, Tesla C2050

December 2, 2011 by hgpu

An error correction solver for linear systems: Evaluation of mixed precision implementations

Hartwig Anzt, Vincent Heuveline, Bjorn Rocker

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Tags: Benchmarking, Computer science, CUDA, Mixed precision, nVidia, Tesla S1070

December 2, 2011 by hgpu

Auto-optimization of a Feature Selection Algorithm

Didem Unat, Han Suk Kim, Jurgen P. Schulze, Scott B. Baden

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Optimization, Rendering, Tesla C1060, Visualization

December 2, 2011 by hgpu

Evaluation of Fermi Features for Data Mining Algorithms

Sinduja Muralidharan

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Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, Nearest neighbour, nVidia, Tesla C1060, Tesla C2050, Thesis

December 2, 2011 by hgpu

Implementation of the FDTD Method Based on Lorentz-Drude Dispersive Model on GPU for Plasmonics Applications

K.H. Lee, I. Ahmed, R.S.M. Goh, E.H. Khoo, E.P. Li, T.G.G. Hung

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Tags: CUDA, Differential equations, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, Maxwell's equations, nVidia, Tesla C2050

December 2, 2011 by hgpu

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Design and Optimization of Hybrid MD5-Blowfish Encryption on GPUs

Mapping the Arnold web with a graphic processing unit

Comparison of CPML Implementations for the GPU-Accelerated FDTD Solver

EM+TV for Reconstruction of Cone-beam CT with Curved Detectors using GPU

On the design of architecture-aware algorithms for emerging applications

Effective GPU Strategies for LU Decomposition

Efficient Cubic B-spline Image Interpolation on a GPU

Massively Parallelized Monte Carlo Simulation and its Applications in Finance

An error correction solver for linear systems: Evaluation of mixed precision implementations

Auto-optimization of a Feature Selection Algorithm

Evaluation of Fermi Features for Data Mining Algorithms

Implementation of the FDTD Method Based on Lorentz-Drude Dispersive Model on GPU for Plasmonics Applications

Recent source codes

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

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

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