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Applying Source Level Auto-Vectorization to Aparapi Java

Frank Curtis Albert

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Tags: Computer science, CUDA, Java, nVidia, nVidia GeForce GTX Titan, OpenCL, Thesis

May 9, 2014 by hgpu

Acceleration of LSB Algorithm in GPU

Darshan R, Prabu R, Divya M

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Tags: Algorithms, Computer science, CUDA, nVidia

May 9, 2014 by hgpu

GPU Implementation of Parallel Support Vector Machine Algorithm with Applications to Detection Intruder

Xueqin Zhang, Yifeng Zhang, Chunhua Gu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTS 250, Security

May 9, 2014 by hgpu

Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models

Robert T. McGibbon, Bharath Ramsundar, Mohammad M. Sultan, Gert Kiss, Vijay S. Pande

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Tags: Algorithms, Biology, Biophysics, CUDA, Distributed computing, Machine learning, Molecular dynamics, nVidia, nVidia GeForce GTX Titan

May 9, 2014 by hgpu

Managing the Topology of Heterogeneous Cluster Nodes with Hardware Locality (hwloc)

Brice Goglin

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Source codes

Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, OpenMPI, Package, Xeon Phi

May 7, 2014 by hgpu

3D data denoising via Non-Local means filter by using parallel GPU strategies

Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli

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Tags: Algorithms, CUDA, Filtering, Image processing, Magnetic resonance imaging, MRI, nVidia, Tesla S2050

May 7, 2014 by hgpu

Learning Sparse Recurrent Neural Networks in Language Modeling

Yuanlong Shao

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX Titan, Thesis

May 7, 2014 by hgpu

Evolution of a double-front Rayleigh-Taylor system using a GPU-based high resolution thermal Lattice-Boltzmann model

P. Ripesi, L. Biferale, S.F. Schifano, R. Tripiccione

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C2050, Tesla K20

May 7, 2014 by hgpu

Improving the Programmability of GPU Architectures

Cedric Nugteren

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenACC, OpenCL, Package, Performance, Thesis

May 7, 2014 by hgpu

Parallel Solving Massive Linear Equations with CUDA

Zheng Xia

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 295

May 7, 2014 by hgpu

Simultaneous Use of CPU and GPU to Real Time Inverted Index Updating in Microblogs

Sajad Bolhasani, Hasan Naderi

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Tags: Computer science, CUDA, Data mining, nVidia

May 7, 2014 by hgpu

Accelerating Cryptosystems on Hardware Platforms

Wei Wang

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Tags: Cloud, Computer science, CUDA, FFT, nVidia, RSA, Security, Tesla C2050, Thesis

May 6, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applying Source Level Auto-Vectorization to Aparapi Java

Acceleration of LSB Algorithm in GPU

GPU Implementation of Parallel Support Vector Machine Algorithm with Applications to Detection Intruder

Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models

Managing the Topology of Heterogeneous Cluster Nodes with Hardware Locality (hwloc)

3D data denoising via Non-Local means filter by using parallel GPU strategies

Learning Sparse Recurrent Neural Networks in Language Modeling

Evolution of a double-front Rayleigh-Taylor system using a GPU-based high resolution thermal Lattice-Boltzmann model

Improving the Programmability of GPU Architectures

Parallel Solving Massive Linear Equations with CUDA

Simultaneous Use of CPU and GPU to Real Time Inverted Index Updating in Microblogs

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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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