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 'HiMap: Fast and Scalable High-Quality Mapping on CGRA via Hierarchical Abstraction' was accepted for IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Nov 8, 2021

The paper 'YASMIN: a Real-time Middleware for COTS Heterogeneous Platforms' was accepted for ACM/IFIP MIDDLEWARE 2021.

Oct 29, 2021

The paper 'A Comprehensive Survey of Industry Practice in Real-Time Systems' was accepted for the Real-Time Systems journal.

Sep 30, 2021

The paper 'Scenario Based Run-time Switching for Adaptive CNN-based Applications at the Edge' was accepted for ACM Transactions on Embedded Computing Systems.

Sep 28, 2021

The paper 'Cache Interference-aware Task Partitioning for Non-preemptive Real-time Multi-core Systems' was accepted for ACM Transactions on Embedded Computing Systems.

Sep 20, 2021
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Vacancies

  • The PCS group currently has a vacancy for a PhD student in Energy Efficiency Analysis of Computer Systems and Applications in Digital Services! Please see here for the description of the position.

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

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Martin Bor

Scientific Programmer / Lecturer

Postdoctoral Researchers

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Sobhan Niknam

Postdoctoral Researcher

PhD students

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Dolly Sapra

Phd Student

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Yixian Shen

Phd Student

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Ehsan Aghapour

Phd Student

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Julius Roeder

Phd Student

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Lukas Miedema

Phd Student

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Uraz Odyurt

Phd Student

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Merijn Verstraaten

Phd Student

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Jelle van Dijk

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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Sudam Wasala

Phd Student

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Vacancy

Phd Student

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Xiaotian Guo

Phd Student

Secretary

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Grace Millerson

Secretary

Alumni

Benjamin Rouxel

Postdoctoral Researcher

Sebastian Altmeyer

Assistant Professor

Jun Xiao

Postdoctoral Researcher

Giulio Stramondo

PhD student

Catalin Bogdan Ciobanu

Postdoctoral Researcher

Hugo Meyer

Postdoctoral Researcher

Thomas Bernard

PhD student

Cagkan Erbas

PhD student

Mark Thompson

PhD student

Michiel van Tol

PhD student

Mike Lankamp

PhD student

Peter van Stralen

PhD student

Raphael Poss

Postdoctoral Researcher

Roberta Piscitelli

PhD student

Roeland Douma

PhD student

Roy Bakker

PhD student

Toktam Taghavi

PhD student

Wei Quan

PhD student

Projects

EnergyLabels

Monitor the Energy Costs of Digital Services

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).

PDF DOI

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).

PDF DOI

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.

DOI

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PCS Software

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All Deep Learning Simulators System Modeling Thermal Management

T-TSP

Transient-Temperature Based Safe Power Budgeting in Multi-/Many-Core Processors

CoMeT

Core-memory thermal simulations for 2D, 2.5D, and 3D processors

HotSniper

Interval thermal simulation of 2D multi-/many-cores

Pipe-All

High-throughput CPU-GPU CNN inference pipeline

Sesame

High-level modeling and simulation of MPSoCs for early DSE

Synthetic Portnet Generator

for modeling software interfaces

Contact