14 citations · 63 across the 18 of their papers we have counts for
19 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…
Exploring Correlation Patterns in the Ethereum Validator Network
Simon Brown, Leonardo Bautista-Gomez
There have been several studies into measuring the level of decentralization in Ethereum through applying various indices to indicate the relative dominance of entities in differen…
Scalability limitations of Kademlia DHTs when enabling Data Availability Sampling in Ethereum
Mikel Cortes-Goicoechea, Csaba Kiraly, Dmitriy Ryajov +2
Scalability in blockchain remains a significant challenge, especially when prioritizing decentralization and security. The Ethereum community has proposed comprehensive data-shardi…
Can we run our Ethereum nodes at home?
Mikel Cortes-Goicoechea, Tarun Mohandas-Daryanani, Jose L. Muñoz-Tapia +1
Scalability is a common issue among the most used permissionless blockchains, and several approaches have been proposed to solve this issue. Tackling scalability while preserving t…
Unveiling Ethereum's Hidden Centralization Incentives: Does Connectivity Impact Performance?
Mikel Cortes-Goicoechea, Tarun Mohandas-Daryanani, Jose Luis Munoz-Tapia +1
Modern public blockchains like Ethereum rely on p2p networks to run distributed and censorship-resistant applications. With its wide adoption, it operates as a highly critical publ…
Autopsy of Ethereum's Post-Merge Reward System
Mikel Cortes-Goicoechea, Tarun Mohandas-Daryanani, Jose Luis Muñoz-Tapia +1
Like most modern blockchain networks, Ethereum has relied on economic incentives to promote honest participation in the chain's consensus. The distributed character of the platform…
A Framework for Large Scale Particle Filters Validated with Data Assimilation for Weather Simulation
Sebastian Friedemann, Kai Keller, Yen-Sen Lu +2
Particle filters are a group of algorithms to solve inverse problems through statistical Bayesian methods when the model does not comply with the linear and Gaussian hypothesis. Pa…
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…
Discovering the Ethereum2 P2P Network
Mikel Cortes-Goicoechea, Leonardo Bautista-Gomez
Achieving the equilibrium between scalability, sustainability, and security while keeping decentralization has prevailed as the target solution for decentralized blockchain applica…
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…
Resiliency in Numerical Algorithm Design for Extreme Scale Simulations
Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt +33
This work is based on the seminar titled ``Resiliency in Numerical Algorithm Design for Extreme Scale Simulations'' held March 1-6, 2020 at Schloss Dagstuhl, that was attended by a…
Extending the OpenCHK Model with Advanced Checkpoint Features
Marcos Maroñas, Sergi Mateo, Kai Keller +3
One of the major challenges in using extreme scale systems efficiently is to mitigate the impact of faults. Application-level checkpoint/restart (CR) methods provide the best trade…
LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing
B. Salami, K. Parasyris, A. Cristal +42
The LEGaTO project leverages task-based programming models to provide a software ecosystem for Made in-Europe heterogeneous hardware composed of CPUs, GPUs, FPGAs and dataflow engi…
Hardware Versus Software Fault Injection of Modern Undervolted SRAMs
Muhammet Abdullah Soyturk, Konstantinos Parasyris, Behzad Salami +3
To improve power efficiency, researchers are experimenting with dynamically adjusting the supply voltage of systems below the nominal operating points. However, production systems…
Application-Level Differential Checkpointing for HPC Applications with Dynamic Datasets
Kai Keller, Leonardo Bautista Gomez
High-performance computing (HPC) requires resilience techniques such as checkpointing in order to tolerate failures in supercomputers. As the number of nodes and memory in supercom…
Checkpoint/restart approaches for a thread-based MPI runtime
Julien Adam, Maxime Kermarquer, Jean-Baptiste Besnard +6
Fault-tolerance has always been an important topic when it comes to running massively parallel programs at scale. Statistically, hardware and software failures are expected to occu…