high performance computing on graphics processing units: hgpu.org

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Processing XPath Structural Constraints on GPU

Dilson A. Guimaraes, Filipe de L. Arcanjo, Laura R. Antuna, Mirella M. Moro, Renato C. Ferreira

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, OpenCL

June 10, 2013 by hgpu

A flexible algorithm for calculating pair interactions on SIMD architectures

Szilard Pall, Berk Hess

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Tags: Algorithms, Computational Physics, CUDA, Molecular dynamics, nVidia, Physics

June 10, 2013 by hgpu

GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting

David Camp, Hari Krishnan, David Pugmire, Christoph Garth, Ian Johnson, E. Wes Bethel, Kenneth I. Joy, Hank Childs

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Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Tesla C2050, Visualization

June 8, 2013 by hgpu

High Resolution Sparse Voxel DAGs

Viktor Kampe, Erik Sintorn, Ulf Assarsson

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Raytracing

June 8, 2013 by hgpu

Efficient Parallel Proximity Queries and an Application to Highly Complex Motion Planning Problems with Many Narrow Passages

Rainer Erbes

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia Quadro FX 5000, Thesis

June 8, 2013 by hgpu

Accelerated Dynamic Programming on GPU: A Study of Speed Up and Programming Approach

Mohsin Altaf Wani, S.M.K Quadri

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Optimization, Programming techniques

June 8, 2013 by hgpu

Modernizing the core quantum chemistry algorithms

Andrey Asadchev

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Tags: Algorithms, Chemistry, Computational chemistry, CUDA, nVidia, Programming techniques, Tesla C2050, Thesis

June 8, 2013 by hgpu

How a Single Chip Causes Massive Power Bills. GPUSimPow: A GPGPU Power Simulator

Jan Lucas, Sohan Lal, Michael Andersch, Mauricio Alvarez-Mesa, Ben Juurlink

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Source codes

Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GT 240, nVidia GeForce GTX 580, Package

June 7, 2013 by hgpu

Genetic Programming using the Karva Gene Expression Language on Graphical Processing Units

Alwyn V. Husselmann, K. A. Hawick

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Optimization

June 7, 2013 by hgpu

Parallel Dynamic Solidification Model of Continuous Steel Casting on GPU

Lubomir Klimes, Josef Stetina

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Tags: Computer science, CUDA, Materials Science, nVidia, Solidification, Tesla C2075

June 7, 2013 by hgpu

Scientific Computing on Hybrid Architectures

Marcus Holm

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Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 260, Tesla M2050, Thesis

June 7, 2013 by hgpu

CUDA Based Performance Evaluation of the Computational Efficiency of the DCT Image Compression Technique on Both the CPU and GPU

Kgotlaetsile Mathews Modieginyane, Zenzo Polite Ncube, Naison Gasela

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Tags: Algorithms, Compression, Computer science, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 480

June 7, 2013 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

Processing XPath Structural Constraints on GPU

A flexible algorithm for calculating pair interactions on SIMD architectures

GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting

High Resolution Sparse Voxel DAGs

Efficient Parallel Proximity Queries and an Application to Highly Complex Motion Planning Problems with Many Narrow Passages

Accelerated Dynamic Programming on GPU: A Study of Speed Up and Programming Approach

Modernizing the core quantum chemistry algorithms

How a Single Chip Causes Massive Power Bills. GPUSimPow: A GPGPU Power Simulator

Genetic Programming using the Karva Gene Expression Language on Graphical Processing Units

Parallel Dynamic Solidification Model of Continuous Steel Casting on GPU

Scientific Computing on Hybrid Architectures

CUDA Based Performance Evaluation of the Computational Efficiency of the DCT Image Compression Technique on Both the CPU and GPU

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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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