8 citations · 16 across the 6 of their papers we have counts for
6 papers
TensorBank: Tensor Lakehouse for Foundation Model Training
Romeo Kienzler, Leonardo Pondian Tizzei, Benedikt Blumenstiel +9
Storing and streaming high dimensional data for foundation model training became a critical requirement with the rise of foundation models beyond natural language. In this paper we…
DevOps and Microservices in Scientific System development
Maximillien de Bayser, Vinicius Segura, Leonardo Guerreiro Azevedo +4
There is a gap in scientific information systems development concerning modern software engineering and scientific computing. Historically, software engineering methodologies have…
Applying Software Craftsmanship Practices to a Scrum Project: an Experience Report
Percival Lucena, Leonardo P. Tizzei
The Software Craftsmanship manifesto has defined values and principles that software development teams should follow to deliver quality software that fulfills functional and non-fu…
Job Placement Advisor Based on Turnaround Predictions for HPC Hybrid Clouds
Renato L. F. Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei +1
Several companies and research institutes are moving their CPU-intensive applications to hybrid High Performance Computing (HPC) cloud environments. Such a shift depends on the cre…
An SLA-based Advisor for Placement of HPC Jobs on Hybrid Clouds
Kiran Mantripragada, Leonardo P. Tizzei, Alecio P. D. Binotto +1
Several scientific and industry applications require High Performance Computing (HPC) resources to process and/or simulate complex models. Not long ago, companies, research institu…
A Self-adaptive Auto-scaling Method for Scientific Applications on HPC Environments and Clouds
Kiran Mantripragada, Alecio Binotto, Leonardo P. Tizzei
High intensive computation applications can usually take days to months to finish an execution. During this time, it is common to have variations of the available resources when co…