ERD

First version of customised ML solutions for the datasets of D1.2

Project: MAELSTROM

Updated at: 30-06-2024

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Project acronym MAELSTROM

Benchmarking and test infrastructure

Project: MAELSTROM

Updated at: 30-06-2024

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Project acronym MAELSTROM

Dissemination workshop I

Project: MAELSTROM

Updated at: 30-06-2024

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Project acronym MAELSTROM

First version of datasets and cost functions to develop ML solutions for A1-A6

Project: MAELSTROM

Updated at: 30-06-2024

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Project acronym MAELSTROM

Hackathon I

Project: MAELSTROM

Updated at: 30-06-2024

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Project acronym MAELSTROM

First version of workflow tools published that allows to perform quarterly benchmarks of ML solutions

Project: MAELSTROM

Updated at: 30-06-2024

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Project acronym MAELSTROM

Report on a survey of MAELSTROM applications and ML tools and architectures

Project: MAELSTROM

Updated at: 30-05-2024

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Project acronym MAELSTROM

A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

Further analysis of cGAN: A system for Generative Deep Learning Post-processing of Precipitation

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Co...

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

Productive Performance Engineering for Weather and Climate Modeling with Python

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

Neural Graph Databases

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

Statistical Modeling of 2-m Temperature and 10-m Wind Speed Forecast Errors

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

PipeFisher: Efficient Training of Large Language Models Using Pipelining and Fisher Information Matrices

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

Compressing multidimensional weather and climate data into neural networks

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

Temperature forecasting by deep learning methods

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

Cached Operator Reordering: A Unified View for Fast GNN Training

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

STen: Productive and Efficient Sparsity in PyTorch

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

Spatial Mixture-of-Experts

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

PROGRAML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

Deep learning for quality control of surface physiographic fields using satellite Earth observations

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

Improving Medium-Range Ensemble Weather Forecasts with Hierarchical Ensemble Transformers

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

CLGAN: a generative adversarial network (GAN)-based video prediction model for precipitation nowcasting

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

Stochastic downscaling of meteorological fields with deep neural networks

Project: MAELSTROM

Updated at: 15-04-2024

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Project acronym MAELSTROM

Bridging observations, theory and numerical simulation of the ocean using machine learning

Project: MAELSTROM

Updated at: 31-07-2023

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Project acronym MAELSTROM

Resources

Selected filters:

First version of customised ML solutions for the datasets of D1.2

Benchmarking and test infrastructure

Dissemination workshop I

First version of datasets and cost functions to develop ML solutions for A1-A6

Hackathon I

First version of workflow tools published that allows to perform quarterly benchmarks of ML solutions

Report on a survey of MAELSTROM applications and ML tools and architectures

A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network

Further analysis of cGAN: A system for Generative Deep Learning Post-processing of Precipitation

A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts

The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Co...

Productive Performance Engineering for Weather and Climate Modeling with Python

Neural Graph Databases

Statistical Modeling of 2-m Temperature and 10-m Wind Speed Forecast Errors

PipeFisher: Efficient Training of Large Language Models Using Pipelining and Fisher Information Matrices

Compressing multidimensional weather and climate data into neural networks

High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations

Temperature forecasting by deep learning methods

Cached Operator Reordering: A Unified View for Fast GNN Training

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

STen: Productive and Efficient Sparsity in PyTorch

Spatial Mixture-of-Experts

HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers

PROGRAML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

Deep learning for quality control of surface physiographic fields using satellite Earth observations

Improving Medium-Range Ensemble Weather Forecasts with Hierarchical Ensemble Transformers

CLGAN: a generative adversarial network (GAN)-based video prediction model for precipitation nowcasting

AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Stochastic downscaling of meteorological fields with deep neural networks

Bridging observations, theory and numerical simulation of the ocean using machine learning