Parallel Computing Systems

Research group

The Parallel Computing Systems (PCS) group at the University of Amsterdam 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, reliability but also the degree of productivity to design and program these systems, play a pivotal role in this work.

News

The paper 'The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies' was accepted for IEA/AIE 2021.

Mar 15, 2021

The paper 'Power Passports for Fault Tolerance: Anomaly Detection in Industrial CPS Using Electrical EFB’ was accepted for IEEE ICPS 2021.

Mar 6, 2021

The University of Amsterdam (PCS group) has joined the partner board of TNO-ESI.

Jan 25, 2021

The paper 'ChordMap: Automated Mapping of Streaming Applications onto CGRA.' was accepted for IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Jan 17, 2021

The poster 'Q-learning for Statically Scheduling DAGs' will be presented at the IEEE International Conference on Big Data, December 2020.

Dec 9, 2020
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Meet the Team

Group Chair

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Andy D. Pimentel

Full Professor

Staff

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Ana Lucia Varbanescu

Associate Professor

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Clemens Grelck

Associate Professor

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Anuj Pathania

Assistant Professor

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Benny Akesson

Professor by special appointment

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Simon Polstra

Scientific Programmer / Lecturer

Postdoctoral Researchers

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Benjamin Rouxel

Postdoctoral Researcher

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Jun Xiao

Postdoctoral Researcher

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Sobhan Niknam

Postdoctoral Researcher

PhD students

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Dolly Sapra

Phd Student

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Uraz Odyurt

Phd Student

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Julius Roeder

Phd Student

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Giulio Stramondo

Phd Student

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Merijn Verstraaten

Phd Student

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Ehsan Aghapour

Phd Student

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Jelle van Dijk

Phd Student

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Lukas Miedema

Phd Student

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Marius Herget

Phd Student

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Pooya Khandel

Phd Student

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Stephen Swatman

Phd Student

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Xiaotian Guo

Phd Student

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Yixian Shen

Phd Student

Secretary

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Grace Millerson

Secretary

Projects

APROPOS

Approximate Computing for Power and Energy Optimisation

TeamPlay

Time, Energy and security Analysis for Multi/Many-core heterogenous PLAtforms

ADMORPH

Towards Adaptively Morphing Embedded Systems

ALOHA

Software framework for runtime-Adaptive and secure deep Learning On Heterogeneous Architectures

DSE 2.0

Towards Optimal Design of Complex, Distributed Cyber Physical Systems

iDAPT

Interactive DSL for Composable EFB Adaptation using Bi-simulation and Extrinsic Coordination

Recent Publications

Julius Roeder, Benjamin Rouxel, Sebastian Altmeyer, Clemens Grelck (2021). Energy-aware Scheduling of Multi-version Tasks on Heterogeneous Real-time Systems. Proceedings of the 36rd Annual ACM Symposium on Applied Computing (SAC).

Dolly Sapra, Andy D. Pimentel (2020). Deep Learning Model Reuse and Composition in Knowledge Centric Networking. Proc. of the 29th International Conference on Computer Communications and Networks (ICCCN).

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Andy D. Pimentel (2020). A Case for Security-Aware Design-Space Exploration of Embedded Systems. Journal of Low Power Electronics and Applications.

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Ahmed Musaafir, Alexandru Uta, Henk Dreuning, Ana Lucia Varbanescu (2020). A Sampling-Based Tool for Scaling Graph Datasets. Proc. of the ACM/SPEC International Conference on Performance Engineering (ICPE).

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H. D. Meyer, U. Odyurt, A. D. Pimentel, Evangelos Paradas, Ignacio Gonzalez Alonso (2020). An Analytics-Based Method for Performance Anomaly Classification in Cyber-Physical Systems. The 35th ACM/SIGAPP Symposium On Applied Computing. SAC 2020.

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