Andy D. Pimentel
The chapter entitled 'Methodologies for design space exploration' has been accepted for the Handbook of Computer Architecture (Springer)
The paper 'A Case for Security-aware Design-Space Exploration of Embedded Systems' was accepted for the Journal of Low Power Electronics and Applications (special issue on Design Space Exploration and Resource Management of Multi/Many-Core Systems).
EU H2020 ITN/ETN project on approximate computing for power and energy optimisation granted!
The paper 'Deep Learning Model Reuse and Composition in Knowledge Centric Networking’ was accepted for ICCCN 2020.
The paper 'CITTA, Cache Interference-aware Task Partitioning for Real-time Multi-core Systems' was accepted for ACM LCTES 2020.
The paper 'An Evolutionary Optimization Algorithm for Gradually Saturating Objective Functions’ was accepted for ACM GECCO 2020.
The paper 'Constrained Evolutionary Piecemeal Training to Design Efficient Neural Networks’ was accepted for IEA/AIE 2020.
The paper 'Schedulability Analysis of Global Scheduling for Multicore Systems with Shared Caches' was accepted for IEEE Transactions on Computers.
A Case for Security-Aware Design-Space Exploration of Embedded Systems
An evolutionary optimization algorithm for gradually saturating objective functions
CITTA: Cache Interference-aware Task Partitioning for Real-time Multi-core Systems
Constrained Evolutionary Piecemeal Training to Design Convolutional Neural Networks
Deep Learning Model Reuse and Composition in Knowledge Centric Networking
Schedulability Analysis of Global Scheduling for Multicore Systems with Shared Caches
NWO project granted!
CPpf: A prefetch aware LLC partitioning approach
Optimization and deployment of CNNs at the Edge: The ALOHA experience