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, thermals, reliability but also the degree of productivity to design and program these systems, play a pivotal role in this work.

News

The paper 'Guided Equality Saturation' was accepted for ACM SIGPLAN POPL '24.

Nov 21, 2023

The paper 'RobustDiCE: Robust and Distributed CNN Inference at the Edge' was accepted for ASP-DAC '24.

Sep 5, 2023

The paper 'Lifetime Estimation for Core-Failure Resilient Multi-Core Processors' was accepted for IEEE MCSoC '23.

Aug 10, 2023

The demo/tool 'ARM-CO-UP: ARM Co-Operative Utilization of Processors' was accepted for the Embedded Systems Software Competition at the IEEE/ACM Embedded Systems Week 2023.

Aug 1, 2023

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.

Aug 1, 2023
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Vacancies

  • No vacancies at the moment, but keep an eye on this page!

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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Andrés Goens

Assistant 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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Dolly Sapra

Postdoctoral Researcher

PhD students

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Xiaotian Guo

Phd Student

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Sudam Wasala

Phd Student

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Ehsan Aghapour

Phd Student

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Yixian Shen

Phd Student

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Stephen Swatman

Phd Student

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Lukas Miedema

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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Saeedeh Baneshi

Phd Student

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Shaoshuai Du

Phd Student

Alumni

Clemens Grelck

Associate Professor

Sobhan Niknam

Postdoctoral Researcher

Benjamin Rouxel

Postdoctoral Researcher

Mark Thompson

PhD student

Jun Xiao

Postdoctoral Researcher

Julius Roeder

Phd Student

Uraz Odyurt

Phd Student

Sebastian Altmeyer

Assistant Professor

Hugo Meyer

Postdoctoral Researcher

Giulio Stramondo

PhD student

Catalin Bogdan Ciobanu

Postdoctoral Researcher

Thomas Bernard

PhD student

Merijn Verstraaten

Phd Student

Cagkan Erbas

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

Edge AI

DNN model inference on resource-constrained Edge devices

Thermals

Thermal modeling, simulation and optimization of chips

EnergyLabels

Monitor the Energy Costs of Digital Services

APROPOS

Approximate Computing for Power and Energy Optimisation

ADMORPH

Towards Adaptively Morphing Embedded Systems

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 [Finalized]

TeamPlay

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

ALOHA

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

Recent Publications

J. van Dijk, G. Závodszky, A. L. Varbanescu, A. D. Pimentel, A. G. Hoekstra (2023). Building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations. Lecture Notes in Computer Science.

DOI

X. Guo, A. D. Pimentel, Todor Stefanov (2023). Automated Exploration and Implementation of Distributed CNN Inference at the Edge. IEEE Internet of Things Journal.

A. D. Pimentel (2023). Embedded computersystemen explOratie.

J. P. Röder (2023). Energy- and time-aware scheduling for heterogeneous high-performance embedded systems.

X. Guo, A. D. Pimentel, Todor Stefanov (2023). Hierarchical Design Space Exploration for Distributed CNN Inference at the Edge. Machine Learning and Principles and Practice of Knowledge Discovery in Databases.

See all publications

PCS Software

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All Deep Learning Simulators System Modeling Thermal Management Coordination Languages and Compilers

AutoDICE

Automated Distributed CNN Inference at the Edge

Cecile Coordination Compiler

for heterogeneous real-time systems

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