high performance computing on graphics processing units: hgpu.org

Programming

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Implicit Adaptive Volume Ray Casting

Rohit Nigam, Surinder Sood

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 580

May 19, 2013 by hgpu

Local Volatility FX Basket Option on CPU and GPU

Jacques du Toit, Isabel Ehrlich

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Tags: CUDA, Finance, Mixed precision, nVidia, Tesla K20

May 19, 2013 by hgpu

An implementation of level set based topology optimization using GPU

D. Herrero, J. Martinez, P. Marti

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Tags: Computational Complexity, CUDA, Data parallelism, FEM, Finite element method, Image processing, nVidia, Tesla C2070

May 19, 2013 by hgpu

Parallel Selectivity Estimation for Optimizing Multidimensional Spatial Join Processing on GPUs

Jianting Zhang, Simin You, Le Gruenwald

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Tags: Computer science, CUDA, Databases, nVidia, nVidia Quadro FX 6000

May 19, 2013 by hgpu

Parallel Zonal Summations of Large-Scale Species Occurrence Data on Hybrid CPU-GPU Systems

Jianting Zhang, Simin You

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Tags: CUDA, Data parallelism, Earth and Space Sciences, Filtering, Geoscience, nVidia, nVidia Quadro FX 6000, Performance

May 19, 2013 by hgpu

GPU Programming for Physics Applications

Matthew Grossman

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Tags: CUDA, Differential equations, nVidia, nVidia GeForce GT 640 M, ODEs, Ordinary differential equations, Physics, Thesis

May 19, 2013 by hgpu

Solving the Coalition Structure Generation Problem on a GPU

Kim Svensson, Sarvapali D. Ramchurn, Francisco Cruz, Juan-Antonio Rodriguez-Aguilar, Jesus Cerquides

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 660 Ti, Optimization

May 19, 2013 by hgpu

In-Place Recursive Approach for All-Pairs Shortest Paths Problem Using OpenCL

Manish Pandey, Himanshu Pandey, Sanjay Sharma

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 630 M, OpenCL

May 19, 2013 by hgpu

Secrets from the GPU

Jean-Marie Chauvet, Eric Mahe

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Tags: Computer science, Modular arithmetic, nVidia, nVidia GeForce GTX 275, OpenCL, RSA, Security

May 17, 2013 by hgpu

Fluid Motion Modelling Using Vortex Particle Method on GPU

Lukasz Roguski, Sebastian Deorowicz

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 460, Visualization

May 17, 2013 by hgpu

GPU-based Numerical Integration in the Partition of Unity Method

Sebastian Kanis

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Tags: Computer science, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GTX 560 Ti, Partial differential equations, PDEs, Tesla K20, Thesis

May 17, 2013 by hgpu

Performance Evaluation of CPU-GPU communication Depending on the Characteristic of Co-Located Workloads

Dongyou Seo, Shin-gyu Kim, Hyeonsang Eom, Heon Y. Yeom

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Tags: CUDA, nVidia, nVidia GeForce GTX 580, Performance

May 17, 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

Programming

Implicit Adaptive Volume Ray Casting

Local Volatility FX Basket Option on CPU and GPU

An implementation of level set based topology optimization using GPU

Parallel Selectivity Estimation for Optimizing Multidimensional Spatial Join Processing on GPUs

Parallel Zonal Summations of Large-Scale Species Occurrence Data on Hybrid CPU-GPU Systems

GPU Programming for Physics Applications

Solving the Coalition Structure Generation Problem on a GPU

In-Place Recursive Approach for All-Pairs Shortest Paths Problem Using OpenCL

Secrets from the GPU

Fluid Motion Modelling Using Vortex Particle Method on GPU

GPU-based Numerical Integration in the Partition of Unity Method

Performance Evaluation of CPU-GPU communication Depending on the Characteristic of Co-Located Workloads

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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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