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About

Ricardo Macedo is a Researcher at HASLab INESC TEC and a 4th year PhD student of the MAP-i Doctoral Programme in Computer Science. He obtained is MSc degree in the Integrated Master in Computer Science (MiEI) from the University of Minho in 2017. His research is focused on distributed storage systems, with particular focus on Software-Defined Storage, programmable and distributed storage, and key-value stores, coutning already with several publications in premium conferences and journals of systems research.

Ricardo has been actively involved in the design and development tasks of EU and national projects, namely BigHPC and PAStor, as well as in previous ones, such as H2020 SafeCloud and SMILES. He has been an active participant in other international projects that count with collaboration of top research centers from both academia and industry, namely UTAustin, AIST, TACC, McGill University, IBM Research Haifa, and CENTRA.

Interest
Topics
Details

Details

  • Name

    Ricardo Gonçalves Macedo
  • Cluster

    Computer Science
  • Role

    Research Assistant
  • Since

    01st December 2016
004
Publications

2022

Accelerating Deep Learning Training Through Transparent Storage Tiering

Authors
Dantas, M; Leitão, D; Cui, P; Macedo, R; Liu, X; Xu, W; Paulo, J;

Publication
22nd IEEE International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2022, Taormina, Italy, May 16-19, 2022

Abstract

2021

BDUS: implementing block devices in user space

Authors
Faria, A; Macedo, R; Pereira, J; Paulo, J;

Publication
SYSTOR '21: The 14th ACM International Systems and Storage Conference, Haifa, Israel, June 14-16, 2021.

Abstract

2021

MONARCH: Hierarchical Storage Management for Deep Learning Frameworks

Authors
Dantas, M; Leitao, D; Correia, C; Macedo, R; Xu, WJ; Paulo, J;

Publication
2021 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER 2021)

Abstract

2021

The Case for Storage Optimization Decoupling in Deep Learning Frameworks

Authors
Macedo, R; Correia, C; Dantas, M; Brito, C; Xu, WJ; Tanimura, Y; Haga, J; Paulo, J;

Publication
2021 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER 2021)

Abstract

2021

Pods-as-Volumes: Effortlessly Integrating Storage Systems and Middleware into Kubernetes

Authors
Faria, A; Macedo, R; Paulo, J;

Publication
WOC '21: Proceedings of the Seventh International Workshop on Container Technologies and Container Clouds, Virtual Event, Canada, 6 December 2021

Abstract

Supervised
thesis

2018

Live Interface for Generative Rhythm Sequencing

Author
Nuno Diogo Vaz Loureiro de Oliveira

Institution
UP-FEUP

2018

Construção de modelos neurais para criação de arte generativa visual

Author
Daniel Leal Moreira Machado

Institution
UP-FEUP