Andy Pimentel chairs the Parallel Computing Systems (PCS) group within the Systems and Networking Lab at the Informatics Institute of the University of Amsterdam. The PCS group performs research on the design, programming and run-time management of multi-core and multi-processor computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption and system dependability but also the degree of productivity to design and program these systems, play a pivotal role in our work.
PhD in Computer Science, 1998
University of Amsterdam
MSc in Computer Science, 1993
University of Amsterdam
The paper ‘RobustDiCE: Robust and Distributed CNN Inference at the Edge’ was accepted for publication at ASP-DAC ‘24.
The paper ‘Lifetime Estimation for Core-Failure Resilient Multi-Core Processors’ was accepted for publication at IEEE MCSoC ‘23.
The paper ‘PELSI: Power-Efficient Layer-Switched Inference’ has been nominated for the Best Paper Award at IEEE RTCSA ‘23!
The paper ‘Thermal Management for 3D-Stacked Systems via Unified Core-Memory Power Regulation’ was accepted for publication at IEEE/ACM CODES+ISSS ‘23.
The paper ‘FLORIA: A Fast and Featherlight Approach for Predicting Cache Performance’ received the Best Paper Award at ACM ICS ‘23!
The paper ‘Exploring Multi-core Systems with Lifetime Reliability and Power Consumption Trade-offs’ was accepted for publication at SAMOS ‘23.
The paper ‘3D-TTP: Efficient Transient Temperature-Aware Power Budgeting for 3D-Stacked Processor-Memory Systems’ was accepted for publication at IEEE ISVLSI ‘23.
The paper ‘Systematically Exploring High-Performance Representations of Vector Fields Through Compile-Time Composition’ was nominated for the Best Paper Award at ACM/SPEC ICPE 2023!
The paper ‘FLORIA: A Fast and Featherlight Approach for Predicting Cache Performance’ by Xiao, Xiang, Wang, Luo, Pimentel and Wang was accepted for publication at ACM ICS ‘23.
The patent ‘Power management for multicore processors’ by Niknam, Pathania and Pimentel has been successfully published under number EP 4 152 124.
The paper ‘GCN-based reinforcement learning approach for scheduling DAG applications’ by Roeder, Pimentel and Grelck was accepted for publication at IFIP AIAI ‘23.
The paper ‘Automated Exploration and Implementation of Distributed CNN Inference at the Edge’ by Guo, Pimentel and Stefanov was accepted for publication in the IEEE Internet of Things Journal.
The paper ‘Systematically Exploring High-Performance Representations of Vector Fields Through Compile-Time Composition’ bu Swatman, Varbanescu, Pimentel, Salzburger and Krasznahorkay was accepted at ACM/SPEC ICPE 2023.
The paper ‘Thermal Management for S-NUCA Many-Cores via Synchronous Thread Rotations’ by Shen, Niknam, Pathania and Pimentel was accepted at DATE 2023.
I received the prestigious Test-of-Time award at the 2022 IEEE/ACM International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) for the paper entitled “A Framework for Rapid System-level Exploration, Synthesis, and Programming of Multimedia MP-SoCs” that was published in 2007 at the same conference.