Nuno Paulino
Nuno Paulino
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FPGA
Compiling for Spatial Computation Architectures
This work is about compiling C code to systolic arrays via source-to-source.
Nuno M.C. Paulino
Oct 20, 2021
Thesis
Designing an Instruction Set Based Coarse Grain Accelerator
This work is about abstracting CGRA architectures via a proposal for a common ISA.
Nuno M.C. Paulino
Oct 20, 2021
Thesis
Specializing RISC-V Cores for Performance and Power
This work is about customizing RISC-V processors with custom units.
Nuno M.C. Paulino
Oct 20, 2021
Thesis
Generating Hardware Modules via Binary Translation of RISC-V Binaries
This work is about using binary translation to create custom units for RISC-V processor pipelines.
Nuno M.C. Paulino
Oct 18, 2021
Thesis
An Exploration of FPGAs as Accelerators for Graph Analysis via High-Level Synthesis
The goal of this thesis is to implement a pathfinding algorithm used in traffic navigation on FPGA using High-Level Synthesis.
Nuno M.C. Paulino
Sep 1, 2021
Thesis
Runtime Management of Heterogeneous Compute Resources in Embedded Systems
This major objective of this thesis is to design and implement a runtime software and/or hardware mechanism capable of determining which accelerators should be loaded onto the FPGA, and when they should be loaded.
Nuno M.C. Paulino
Sep 1, 2021
Thesis
Dynamically Reconfigurable Multi-Classifier Architecture on FPGA
The goal of this project is to devise and evaluate a complete FPGA-based, run-time reconfigurable infrastructure that supports the dynamic deployment of multiple K-NN accelerator cores.
Nuno M.C. Paulino
Oct 10, 2020
Thesis
Run-Time Selection of Customized Accelerators
Heuristics for runtime scheduling of workload onto accelerators in embedded systems.
Nuno M.C. Paulino
Jul 31, 2020
Thesis
SMILES - Smart, Mobile, Intelligent and Large scale Sensing and Analytics
SMILES is one of the main Research Lines of the Norte 2020 project Tec4Growth, involving all the 4 centres from the Computer Science cluster and 5 other centres from INESC TEC.
Project
REFLECT: Rendering FPGAs to Multi-Core Embedded Computing
This project will develop, implement and evaluate a novel compilation and synthesis system approach for FPGA-based platforms.
Project
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