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Evolving a CUDA kernel from an nVidia template

William B. Langdon, Mark Harman

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Tags: Artificial intelligence, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295

January 21, 2011 by hgpu

A CUDA SIMT interpreter for genetic programming. Revised

William B. Langdon

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Tags: Computer science, CUDA, Genetic programming, nVidia, Package, Tesla T10P

January 21, 2011 by hgpu

A Many Threaded CUDA Interpreter for Genetic Programming

William B. Langdon

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package

January 21, 2011 by hgpu

Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing

Oscar Mateo Lozano, Kazuhiro Otsuka

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Particle filtering, Video tracking

January 20, 2011 by hgpu

SPRAT: Runtime processor selection for energy-aware computing

Hiroyuki Takizawa, Katsuto Sato, Hiroaki Kobayashi

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Tags: Computer science, CUDA, Energy-efficient computing, High-level Languages, nVidia, nVidia GeForce 8800 GTX

January 20, 2011 by hgpu

Real-Time GPU-Based Voxel Carving with Systematic Occlusion Handling

Alexander Schick, Rainer Stiefelhagen

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro NVS 290, Pattern recognition

January 20, 2011 by hgpu

Fast development of dense linear algebra codes on graphics processors

M. Jesus Zafont, Alberto F. Martin, Francisco Igual, Enrique S. Quintana-Orti

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce 8800 Ultra

January 20, 2011 by hgpu

Direct N-body Kernels for Multicore Platforms

Nitin Arora, Aashay Shringarpure, Richard W. Vuduc

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Tags: Computer science, CUDA, N-body simulation, nVidia, Tesla C1060, Tesla C870

January 20, 2011 by hgpu

Motion Estimation with Non-Local Total Variation Regularization

Manuel Werlberger, Thomas Pock, Horst Bischof

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 280, Optical flow

January 20, 2011 by hgpu

Accelerating Quadrature Methods for Option Valuation

Anson H. T. Tse, David B. Thomas, Wayne Luk

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Tags: CUDA, Finance, nVidia, nVidia GeForce 8600 GT, Tesla C1060

January 19, 2011 by hgpu

Towards microsecond biological molecular dynamics simulations on hybrid processors

Scott Hampton, Pratul K. Agarwal, Sadaf R. Alam, Paul S. Crozier

Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060, Tesla C2050

January 19, 2011 by hgpu

Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations

Scott S. Hampton, Sadaf R. Alam, Paul S. Crozier, Pratul K. Agarwal

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Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060, Tesla C2050

January 19, 2011 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Evolving a CUDA kernel from an nVidia template

A CUDA SIMT interpreter for genetic programming. Revised

A Many Threaded CUDA Interpreter for Genetic Programming

Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing

SPRAT: Runtime processor selection for energy-aware computing

Real-Time GPU-Based Voxel Carving with Systematic Occlusion Handling

Fast development of dense linear algebra codes on graphics processors

Direct N-body Kernels for Multicore Platforms

Motion Estimation with Non-Local Total Variation Regularization

Accelerating Quadrature Methods for Option Valuation

Towards microsecond biological molecular dynamics simulations on hybrid processors

Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations

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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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