research
∙
08/25/2021
Towards Informed Partitioning for Load Balancing: a Proof-of-Concept
Most parallel applications suffer from load imbalance, a crucial perform...
share
research
∙
04/04/2021
Optimal Load Balancing and Assessment of Existing Load Balancing Criteria
Parallel iterative applications often suffer from load imbalance, one of...
research
∙
10/13/2020
Interpretable pathological test for Cardio-vascular disease: Approximate Bayesian computation with distance learning
Cardio/cerebrovascular diseases (CVD) have become one of the major healt...
research
∙
11/08/2019
Digital Blood in Massively Parallel CPU/GPU Systems for the Study of Platelet Transport
We propose a highly versatile computational framework for the simulation...
research
∙
09/28/2019
Distance-learning For Approximate Bayesian Computation To Model a Volcanic Eruption
Approximate Bayesian computation (ABC) provides us with a way to infer p...
research
∙
09/16/2019
On the Benefits of Anticipating Load Imbalance for Performance Optimization of Parallel Applications
In parallel iterative applications, computational efficiency is essentia...
research
∙
10/03/2017