INESC TEC
INESC TEC
INESC TEC
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Ricardo Gonçalves Macedo

Ricardo Gonçalves Macedo

Assistant Researcher

Ricardo Macedo is currently a Researcher at INESC TEC. He obtained is PhD degree in 2023 under the MAP-i Doctoral Programme in Computer Science from the Universities of Minho, Aveiro and Porto with the thesis “User-level Software-Defined Storage Data Planes”. 

His research is mainly focused on storage and operating systems, with an emphasis on designing new building blocks fitted for the performance, reliability, and energy consumption requirements of modern, large-scale I/O infrastructures, including key-value stores, kernel-bypass storage stacks, and disaggregated I/O resources. For more information, please check my personal web page at https://rgmacedo.github.io/.

Publications

Toward a Practical and Timely Diagnosis of Application's I/O Behavior

Esteves, T;Macedo, R;Oliveira, R;Paulo, J;

2023

IEEE ACCESS

Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control

Macedo, R;Miranda, M;Tanimura, Y;Haga, J;Ruhela, A;Harrell, SL;Evans, RT;Pereira, J;Paulo, J;

2023

2023 IEEE/ACM 23RD INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING, CCGRID

PAIO: General, Portable I/O Optimizations With Minor Application Modifications

Macedo, R;Tanimura, Y;Haga, J;Chidarnbaram, V;Pereira, J;Paulo, J;

2022

PROCEEDINGS OF THE 20TH USENIX CONFERENCE ON FILE AND STORAGE TECHNOLOGIES, FAST 2022

PAIO: A Software-Defined Storage Data Plane Framework

Macedo, R;Tanimura, Y;Haga, J;Chidambaram, V;Pereira, J;Paulo, J;

2021

CoRR

View all publications

Supervised Theses

Otimizações de Armazenamento Distribuído para Aprendizagem Profunda

Maria Beatriz Moreira

M - 2023

UM-EEUM

Injeção de Faltas Reprodutível em Sistemas de Armazenamento Local

Maria Ramos

M - 2023

UM-EEUM

Co-designing Log-Structured Merge Key-Value Stores with a Non-Volatile Storage Hierarchy

Rúben Adão

M - 2023

UM-EEUM

Towards Programmable and Adaptable Caches

José Pedro Peixoto

M - 2023

UM-EEUM

See more supervised theses

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