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A framework for exploring numerical solutions of advection-reaction-diffusion equations using a GPU-based approach

Allen Sanderson, Miriah Meyer, Robert Kirby, Chris Johnson

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Tags: Cg, Diffusion equation, Mathematics, nVidia, nVidia GeForce 6800 Ultra, Partial differential equations, PDEs

November 8, 2010 by hgpu

Parallel hyperbolic PDE simulation on clusters: Cell versus GPU

Scott Rostrup, Hans De Sterck

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Tags: Cell processor, CUDA, Hyperbolic PDEs, Hyperbolic system, Mathematics, nVidia, Package, Tesla C2050, Tesla T10

November 7, 2010 by hgpu

Graphics Processing Units and High-Dimensional Optimization

Hua Zhou, Kenneth Lange, Marc A. Suchard

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Tags: Block relaxation, CUBLAS, CUDA, EM and MM algorithms, Mathematics, Multidimensional scaling, Nonnegative matrix factorization, nVidia, nVidia GeForce GTX 280, PET scanning, Statistics

October 30, 2010 by hgpu

All-pairs shortest-paths for large graphs on the GPU

Gary J. Katz, Joseph T. Kider

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Tags: CUDA, Graph theory, Mathematics, nVidia, nVidia Quadro FX 5600

October 28, 2010 by hgpu

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice

HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments

BAT: A standardized benchmark suite for auto-tuners

BAT: A Benchmark suite for AutoTuners

The Darmstadt Automotive Parallel HeterogeNEous (DAPHNE) Benchmark-Suite

Programming Heterogeneous Systems with General and Domain-Specific Frameworks

General purpose lattice QCD code set Bridge++ 2.0 for high performance computing

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py

iGUARD: In-GPU Advanced Race Detection

TaPaSCo: The Task Parallel System Composer

Optimizing a Hardware Network Stack to Realize an In-Network ML Inference Application

Tapenade Automatic Differentiation Engine

Source-to-Source Automatic Differentiation of OpenMP Parallel Loops

Colossal-AI: an integrated large-scale model training system with efficient parallelization techniques

Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training

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high performance computing on graphics processing units: hgpu.org

Applications

A framework for exploring numerical solutions of advection-reaction-diffusion equations using a GPU-based approach

Parallel hyperbolic PDE simulation on clusters: Cell versus GPU

Graphics Processing Units and High-Dimensional Optimization

All-pairs shortest-paths for large graphs on the GPU

Recent source codes

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice

BAT: A standardized benchmark suite for auto-tuners

The Darmstadt Automotive Parallel HeterogeNEous (DAPHNE) Benchmark-Suite

General purpose lattice QCD code set Bridge++ 2.0 for high performance computing

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py

iGUARD: In-GPU Advanced Race Detection

TaPaSCo: The Task Parallel System Composer

Tapenade Automatic Differentiation Engine

Colossal-AI: an integrated large-scale model training system with efficient parallelization techniques

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