11 citations · 35 across the 14 of their papers we have counts for
12 papers
A Framework for Automatic Validation and Application of Lossy Data Compression in Ensemble Data Assimilation
Kai Keller, Hisashi Yashiro, Mohamed Wahib +3
Ensemble data assimilation techniques form an indispensable part of numerical weather prediction. As the ensemble size grows and model resolution increases, the amount of required…
Blockprint Accuracy Study
Santiago Somoza, Tarun Mohandas-Daryanani, Leonardo Bautista-Gomez
Blockprint, a tool for assessing client diversity on the Ethereum beacon chain, is essential for analyzing decentralization. This paper details experiments conducted at MigaLabs to…
On the Design of Ethereum Data Availability Sampling: A Comprehensive Simulation Study
Arunima Chaudhuri, Sudipta Basak, Csaba Kiraly +2
This paper presents an in-depth exploration of Data Availability Sampling (DAS) and sharding mechanisms within decentralized systems through simulation-based analysis. DAS, a pivot…
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks
Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista Gomez +3
Deep Neural Network (DNN) frameworks use distributed training to enable faster time to convergence and alleviate memory capacity limitations when training large models and/or using…
Resource Analysis of Ethereum 2.0 Clients
Mikel Cortes-Goicoechea, Luca Franceschini, Leonardo Bautista-Gomez
Scalability is a common issue among the most used permissionless blockchains, and several approaches have been proposed accordingly. As Ethereum is set to be a solid foundation for…
On the Applicability of PEBS based Online Memory Access Tracking for Heterogeneous Memory Management at Scale
Aleix Roca Nonell, Balazs Gerofi, Leonardo Bautista-Gomez +3
Operating systems have historically had to manage only a single type of memory device. The imminent availability of heterogeneous memory devices based on emerging memory technologi…