Dolly Sapra received the Best Paper Award at IEA/AIE 2020 for her paper entitled ‘Constrained Evolutionary Piecemeal Training to Design Efficient Neural Networks’

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’ by Pimentel 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’ by Sapra and Pimentel was accepted for ICCCN 2020.

The paper ‘CITTA: Cache Interference-aware Task Partitioning for Real-time Multi-core Systems’ by Xiao and Pimentel was accepted for ACM LCTES 2020.

The paper ‘An Evolutionary Optimization Algorithm for Gradually Saturating Objective Functions’ by Sapra and Pimentel was accepted for ACM GECCO 2020.

The paper ‘Constrained Evolutionary Piecemeal Training to Design Efficient Neural Networks’, by Sapra and Pimentel was accepted for IEA/AIE 2020.

The paper ‘Schedulability Analysis of Global Scheduling for Multicore Systems with Shared Caches’ by Xiao, Altmeyer and Pimentel was accepted for IEEE Transactions on Computers, 2020.