Reference Card: Despite many efforts, it can be difficult to find good abstractions that are efficient on both CPU and GPU code. The accelerating outflow of ice in Antarctica or Greenland due to a warming climate or the geodynamic processes shaping the ...

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This workshop covers trendy areas in modern high-performance computing with examples from geoscientific applications. The accelerating outflow of ice in Antarctica or Greenland due to a warming climate or the geodynamic processes shaping the ... Despite many efforts, it can be difficult to find good abstractions that are efficient on both CPU and GPU code.

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Despite many efforts, it can be difficult to find good abstractions that are efficient on both CPU and GPU code. Agent-based modeling of the whole cell has emerged as a frontier of modern research.

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  • This workshop covers trendy areas in modern high-performance computing with examples from geoscientific applications.
  • Despite many efforts, it can be difficult to find good abstractions that are efficient on both CPU and GPU code.
  • The accelerating outflow of ice in Antarctica or Greenland due to a warming climate or the geodynamic processes shaping the ...
  • Agent-based modeling of the whole cell has emerged as a frontier of modern research.

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MultilayerGraphs.jl: Multilayer Network Science in Julia | Monticone, Moroni | JuliaCon 2023
Multilayer Network Science in Julia with MultilayerGraphs.jl
Training deep learners and other iterative models with MLJ | Anthony Bloam | JuliaCon2021
Differentiable Modeling on GPUs Workshop | JuliaCon 2023
Patterns for Portable Parallelism: Porting CliMA to GPUs | Simon Byrne | JuliaCon 2023
MEDYAN.jl: Agent-based modeling of active matter and whole cells | Nathan Zimmerberg | JuliaCon 2023
Multi-objective Optimization with JuMP | Xavier Gandibleux | JuliaCon 2023
Effects of graph convolutions in multi-layer networks
GPU4GEO: Frontier GPU Multi-physics... | L Räss, S Omlin, A de Montserrat, B Kaus | JuliaCon '2022
A Julia Framework for World Dynamics Modeling and Simulation | Pierluigi Crescenzi | JuliaCon 2023
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MultilayerGraphs.jl: Multilayer Network Science in Julia | Monticone, Moroni | JuliaCon 2023

MultilayerGraphs.jl: Multilayer Network Science in Julia | Monticone, Moroni | JuliaCon 2023

Read more details and related context about MultilayerGraphs.jl: Multilayer Network Science in Julia | Monticone, Moroni | JuliaCon 2023.

Multilayer Network Science in Julia with MultilayerGraphs.jl

Multilayer Network Science in Julia with MultilayerGraphs.jl

Read more details and related context about Multilayer Network Science in Julia with MultilayerGraphs.jl.

Training deep learners and other iterative models with MLJ | Anthony Bloam | JuliaCon2021

Training deep learners and other iterative models with MLJ | Anthony Bloam | JuliaCon2021

Read more details and related context about Training deep learners and other iterative models with MLJ | Anthony Bloam | JuliaCon2021.

Differentiable Modeling on GPUs Workshop | JuliaCon 2023

Differentiable Modeling on GPUs Workshop | JuliaCon 2023

This workshop covers trendy areas in modern high-performance computing with examples from geoscientific applications.

Patterns for Portable Parallelism: Porting CliMA to GPUs | Simon Byrne | JuliaCon 2023

Patterns for Portable Parallelism: Porting CliMA to GPUs | Simon Byrne | JuliaCon 2023

Despite many efforts, it can be difficult to find good abstractions that are efficient on both CPU and GPU code. In our effort to add ...

MEDYAN.jl: Agent-based modeling of active matter and whole cells | Nathan Zimmerberg | JuliaCon 2023

MEDYAN.jl: Agent-based modeling of active matter and whole cells | Nathan Zimmerberg | JuliaCon 2023

Agent-based modeling of the whole cell has emerged as a frontier of modern research. To address this challenge, we developed ...

Multi-objective Optimization with JuMP | Xavier Gandibleux | JuliaCon 2023

Multi-objective Optimization with JuMP | Xavier Gandibleux | JuliaCon 2023

Read more details and related context about Multi-objective Optimization with JuMP | Xavier Gandibleux | JuliaCon 2023.

Effects of graph convolutions in multi-layer networks

Effects of graph convolutions in multi-layer networks

Read more details and related context about Effects of graph convolutions in multi-layer networks.

GPU4GEO: Frontier GPU Multi-physics... | L Räss, S Omlin, A de Montserrat, B Kaus | JuliaCon '2022

GPU4GEO: Frontier GPU Multi-physics... | L Räss, S Omlin, A de Montserrat, B Kaus | JuliaCon '2022

The accelerating outflow of ice in Antarctica or Greenland due to a warming climate or the geodynamic processes shaping the ...

A Julia Framework for World Dynamics Modeling and Simulation | Pierluigi Crescenzi | JuliaCon 2023

A Julia Framework for World Dynamics Modeling and Simulation | Pierluigi Crescenzi | JuliaCon 2023

Read more details and related context about A Julia Framework for World Dynamics Modeling and Simulation | Pierluigi Crescenzi | JuliaCon 2023.