- 'MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection' accepted at ACL 2025
- 'Early-Exit DNN Inference on HMPSoCs' accepted at IEEE EDGE '25
- 'CompDSE: A Methodology for Design Space Exploration of Computing Subsystems within Complex Cyber-Physical Systems' accepted for publication in IET Cyber-Physical Systems: Theory & Applications
- 'Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum' accepted for publication in IEEE Internet Computing
- 'Empowering Sustainability: Energy Labeling of Digital Services Using Simulation' accepted as a short paper at CCGrid 2025
- 'Energy-Efficient QoS-Aware Scheduling for S-NUCA Many-Cores' accepted at ISQED 2025
- 'SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation' accepted at NAACL 2025
- 'PEIR: Modeling Performance in Neural Information Retrieval' accepted at ECIR 2025
- 'EASTER: Learning to Split Transformers at the Edge Robustly' published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
- 'ARM-CO-UP: ARM COoperative Utilization of Processors' published in ACM Transactions on Design Automation of Electronic Systems
- 'Revisiting Edge AI: Opportunities and Challenges' published in IEEE Internet Computing
- 'Thermal Management for 3D-Stacked Systems via Unified Core-Memory Power Regulation' published in ACM Transactions on Embedded Computing Systems
- 'Automated Exploration and Implementation of Distributed CNN Inference at the Edge' published in IEEE Internet of Things Journal
- Awards:
- IEEE CEDA Outstanding Service Recognition Award
- DATE Fellow Award at DATE 2025
- Projects:
- NWO Knowledge and Innovation Covenant (KIC) project on 'Improved Secure Semiconductor Evaluation (ISSE): From Lab Techniques to Legal Frameworks' granted
Research Experience
- Chair of the Parallel Computing Systems (PCS) group, Systems and Networking Lab, Informatics Institute, University of Amsterdam
Education
- PhD in Computer Science, 1998, University of Amsterdam
- MSc in Computer Science, 1993, University of Amsterdam
Background
- Research Interests: Multi-core embedded systems, System-level design and modeling, Design space exploration, Performance and power analysis, System dependability, Hardware/software co-design, Run-time resource management, Edge AI
- Professional Field: Parallel Computing Systems
- Biography: 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.