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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

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

Computer vision for continuous plankton monitoring

Damian Janusz Matuszewski

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Tags: Computer science, Computer vision, CUDA, Data acquisition, nVidia, nVidia GeForce GTX 480, OpenCV, Thesis

May 5, 2014 by hgpu

Non-separable 2D, 3D and 4D filtering with CUDA

Anders Eklund, Paul Dufort

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Tags: CUDA, FFT, Filtering, Image processing, nVidia, nVidia GeForce GTX 680, Package, Signal denoising

May 5, 2014 by hgpu

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

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

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

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

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

Mimetic Methods for Lagrangian Relaxation of Magnetic Fields

Multireduce and Multiscan on Modern GPUs

Computer vision for continuous plankton monitoring

Non-separable 2D, 3D and 4D filtering with CUDA

Recent source codes

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

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

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

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