Andy D. Pimentel

Latest

• The paper 'Using Evolutionary Algorithms to Find Cache-Friendly Generalized Morton Layouts for Arrays' was accepted for ACM/SPEC ICPE '24.
• The paper 'RobustDiCE: Robust and Distributed CNN Inference at the Edge' was accepted for ASP-DAC '24.
• The demo/tool 'AutoDiCE Toolkit: Fully Automated Distributed CNN Inference at the Edge' was accepted for the Embedded Systems Software Competition at the IEEE/ACM Embedded Systems Week 2023.
• The paper 'FLORIA: A Fast and Featherlight Approach for Predicting Cache Performance' received the Best Paper Award at ACM ICS '23!
• The paper 'FLORIA: A Fast and Featherlight Approach for Predicting Cache Performance' has been nominated for the Best Paper Award at ACM ICS '23!
• The paper 'FLORIA: A Fast and Featherlight Approach for Predicting Cache Performance' was accepted for publication at ACM ICS '23.
• The paper 'GCN-based reinforcement learning approach for scheduling DAG applications' was accepted for publication at IFIP AIAI '23.
• The paper 'Automated Exploration and Implementation of Distributed CNN Inference at the Edge' was accepted for publication in the IEEE Internet of Things Journal.
• Edge AI
• Thermals
• Andy Pimentel gave a keynote presentation at IntelliSys '22. Please click to see a recording of the talk.
• The paper 'Improving the Robustness of Industrial Cyber-Physical Systems through Machine Learning-Based Performance Anomaly Identification' was accepted for the Journal of Systems Architecture (Elsevier).
• The paper 'Hierarchical Design Space Exploration for Distributed CNN Inference at the Edge' was accepted at ITEM '22.
• The paper 'Design Space Exploration for Distributed Cyber-Physical Systems: State-of-the-art, Challenges, and Directions' was accepted for Euromicro DSD 2022.
• The paper 'TCPS: A Task and Cache-aware Partitioned Scheduler for Hard Real-time Multi-core Systems' was accepted for ACM SIGPLAN/SIGBED LCTES '22.
• Designing convolutional neural networks with constrained evolutionary piecemeal training
• Designing convolutional neural networks with constrained evolutionary piecemeal training
• Uraz Odyurt received the Best Presentation in Session Award at IEEE ICPS'21 for his presentation entitled 'Power Passports for Fault Tolerance: Anomaly Detection in Industrial CPS Using Electrical EFB'
• Uraz Odyurt received the Best Student Paper Award at IEEE ICPS'21 for his paper entitled 'Power Passports for Fault Tolerance: Anomaly Detection in Industrial CPS Using Electrical EFB'
• The paper 'Power Passports for Fault Tolerance: Anomaly Detection in Industrial CPS Using Electrical EFB’ was accepted for IEEE ICPS 2021.
• The University of Amsterdam (PCS group) has joined the partner board of TNO-ESI.
• 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!
• APROPOS
• 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!
• ADMORPH
• DSE 2.0
• iDAPT
• CPpf: A prefetch aware LLC partitioning approach
• Optimization and deployment of CNNs at the Edge: The ALOHA experience
• ALOHA