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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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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

Simulation of earthquake sloshing loads in a nuclear reactor

J.L. Cercos-Pita, L.M. Gonzalez, A. Moreno, A. Guerrero, S. Salgado

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Tags: ATI, ATI Radeon HD 7970, Earth and Space Sciences, nVidia, nVidia GeForce GTX Titan, OpenCL

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

Mimetic Methods for Lagrangian Relaxation of Magnetic Fields

Simon Candelaresi, David Pontin, Gunnar Hornig

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Tags: Astrophysics, CUDA, nVidia, nVidia GeForce GTX 765, Physics, Plasma physics

May 6, 2014 by hgpu

Multireduce and Multiscan on Modern GPUs

Marco Eilers

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 690, Sorting, Thesis

May 6, 2014 by hgpu

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Simulation of earthquake sloshing loads in a nuclear reactor

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

Mimetic Methods for Lagrangian Relaxation of Magnetic Fields

Multireduce and Multiscan on Modern GPUs

Recent source codes

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

ThunderKittens: Tile primitives for speedy kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

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