activity
20192021
most citedSecurity, Performance and Energy Trade-offs of Hardware-assisted Memory Protection Mechanisms

33 citations · 37 across the 5 of their papers we have counts for

collaborators

7 papers

cs.DC20212 cited

Security, Performance and Energy Implications of Hardware-assisted Memory Protection Mechanisms on Event-based Streaming Systems

Christian Göttel, Rafael Pires, Isabelly Rocha +4

Major cloud providers such as Amazon, Google and Microsoft provide nowadays some form of infrastructure as a service (IaaS) which allows deploying services in the form of virtual m…

cs.DC2020

PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters

Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen +3

DNN learning jobs are common in today's clusters due to the advances in AI driven services such as machine translation and image recognition. The most critical phase of these jobs…

cs.DC20192 cited

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…

cs.DC2019

ABEONA: an Architecture for Energy-Aware Task Migrations from the Edge to the Cloud

Isabelly Rocha, Gabriel Vinha, Andrey Brito +3

This paper presents our preliminary results with ABEONA, an edge-to-cloud architecture that allows migrating tasks from low-energy, resource-constrained devices on the edge up to t…

cs.DC2019

Differential Approximation and Sprinting for Multi-Priority Big Data Engines

Robert Birke, Isabelly Rocha, Juan Perez +3

Today's big data clusters based on the MapReduce paradigm are capable of executing analysis jobs with multiple priorities, providing differential latency guarantees. Traces from pr…

cs.DC2019

HEATS: Heterogeneity- and Energy-Aware Task-based Scheduling

Isabelly Rocha, Christian Göttel, Pascal Felber +3

Cloud providers usually offer diverse types of hardware for their users. Customers exploit this option to deploy cloud instances featuring GPUs, FPGAs, architectures other than x86…