high performance computing on graphics processing units: hgpu.org

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Multicore Computing: Algorithms, Architectures, and Applications

Sanguthevar Rajasekaran, Lance Fiondella, Mohamed Ahmed, Reda A. Ammar

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Tags: Algorithms, Biology, Book, Computer science, CUDA, Linear Algebra, nVidia, String matching, Tesla

January 6, 2014 by hgpu

Conditional component composition for GPU-based systems

Usman Dastgeer, Christoph W. Kessler

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

January 6, 2014 by hgpu

The Parallel Bayesian Toolbox for High-performance Bayesian Filtering in Metrology

E. Garcia, T. Hausotte

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Tags: Algorithms, Bayesian, CUDA, Filtering, nVidia, Package, Particle filtering, Physics, Probability, Tesla C2075

January 6, 2014 by hgpu

Parallel numerical simulation of two-phase flow model in porous media using distributed and shared memory architectures

Luis Miguel de la Cruz, Daniel Monsivais

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Tags: Compression, CUDA, Finite volume method, Fluid dynamics, Numerical simulation, nVidia, Physics, Tesla M4050

January 6, 2014 by hgpu

Large scale 3D shape retrieval by exploiting multi-core and GPU

M. Benjelloun, E.W. Dadi, E.M. Daoudi

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 610, SIFT

January 5, 2014 by hgpu

Applying the Parallel GPU Model to Radiation Therapy Treatment

J. Steven Kirtzic, David Allen, Ovidiu Daescu

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Tags: Algorithms, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 9800 GTX, Radiotherapy

January 5, 2014 by hgpu

A Push-Relabel-Based Maximum Cardinality Bipartite Matching Algorithm on GPUs

Mehmet Deveci, Kamer Kaya, Bora Ucar, Umit V. Catalyurek

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Tags: Algorithms, Bioinformatics, Computer science, CUDA, Graph theory, nVidia, Search, Tesla C2050

January 5, 2014 by hgpu

Parallel Irradiance Caching on the GPU

Nathaniel L. Jones

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Tags: Computer science, CUDA, nVidia, nVidia Quadro K4000, OptiX, Package, Raytracing

January 5, 2014 by hgpu

Multiple Bounding Boxes Algorithm in Collision Detection and Its Performances in Sequential vs CUDA Parallel Processing

Min Qi

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, Tesla C2070, Thesis

January 5, 2014 by hgpu

A GPU-based real time trigger for rare kaon decays at NA62

Elena Graverini

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Tags: Algorithms, CUDA, High Energy Physics - Experiment, nVidia, Pattern recognition, Physics, Tesla K20, Thesis

January 3, 2014 by hgpu

Wavelet Encoding and Multi-GPU Programming

Andre Kessler

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Tags: Compression, CUDA, Image processing, nVidia, Tesla K20, Wavelet

January 3, 2014 by hgpu

Adhoc On-Demand Distance Vector Protocol For Energy Efficiency

Abhilash C S, Abhishek Varshney, Dilip S, Navik Yogesh Laljibhai, Pradyot H Adavi

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 480, Security

January 3, 2014 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Multicore Computing: Algorithms, Architectures, and Applications

Conditional component composition for GPU-based systems

The Parallel Bayesian Toolbox for High-performance Bayesian Filtering in Metrology

Parallel numerical simulation of two-phase flow model in porous media using distributed and shared memory architectures

Large scale 3D shape retrieval by exploiting multi-core and GPU

Applying the Parallel GPU Model to Radiation Therapy Treatment

A Push-Relabel-Based Maximum Cardinality Bipartite Matching Algorithm on GPUs

Parallel Irradiance Caching on the GPU

Multiple Bounding Boxes Algorithm in Collision Detection and Its Performances in Sequential vs CUDA Parallel Processing

A GPU-based real time trigger for rare kaon decays at NA62

Wavelet Encoding and Multi-GPU Programming

Adhoc On-Demand Distance Vector Protocol For Energy Efficiency

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Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

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