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Resourceful Learning: Training More Models with Fewer Resources
Titus Theodorus (Ties) Robroek
Data, Systems, and Robotics
Center for Climate IT
Data-intensive Systems and Applications
Publikation
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Afhandlinger
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Ph.d.-afhandling
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Keyphrases
Collocation
100%
Few Resources
100%
Training Model
80%
Data Loading
80%
Hardware Configuration
40%
By Design
20%
Machine Learning
20%
Complex Data
20%
Rapid Development
20%
Efficiency Increase
20%
Deep Learning
20%
Data Preprocessing
20%
Data Science
20%
Deep Neural Network
20%
Specialized Hardware
20%
Letting
20%
Plethora
20%
Server Infrastructure
20%
Matrix multiplication
20%
Resource Utilization
20%
Resource Efficiency
20%
Training Intensity
20%
Resource Cost
20%
Deep Learning Model
20%
Multiple Models
20%
Informed Choice
20%
Training Step
20%
Hardware Requirements
20%
Embarrassingly Parallel
20%
Deep Learning Training
20%
Training Time
20%
On-state Current
20%
Resource Base
20%
Space-time Data
20%
Processing pipeline
20%
Visualization Framework
20%
Parallel Tasks
20%
Flops
20%
Loading Method
20%
Data Collection Framework
20%
Training Performance
20%
Data Center Cooling
20%
GPU Hardware
20%
Easy Data
20%
Data Redundancy
20%
Unused Resources
20%
Massive Resources
20%
Private Budgets
20%
Singular Configuration
20%
Enhanced Training
20%
Load Data
20%
Data Loader
20%
Computer Science
Computer Hardware
100%
Graphics Processing Unit
75%
Training Model
50%
Data Loading
50%
Deep Learning Method
25%
Rapid Development
12%
Data Preprocessing
12%
Deep Neural Network
12%
Data Center
12%
Benchmarking
12%
Matrix Multiplication
12%
Server Infrastructure
12%
Hardware Requirement
12%
Resource Utilisation
12%
Deep Learning Model
12%
Informed Choice
12%
Accessible Information
12%
Scientific Visualization
12%
Machine Learning
12%
Learning System
12%
Data Processing
12%
Data Redundancy
12%
Loading Process
12%
Unused Resource
12%
Loaders
12%