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

Dolly Sapra received the Best Paper Award at IEA/AIE 2020 for her paper entitled 'Constrained Evolutionary Piecemeal Training to Design Efficient Neural Networks'

Sep 24, 2020

The chapter entitled 'Methodologies for design space exploration' has been accepted for the Handbook of Computer Architecture (Springer)

Sep 24, 2020

The paper 'Control Performance Optimization for Application Integration on Automotive Architectures' was accepted for IEEE Transactions on Computers.

Aug 28, 2020

The paper 'A Case for Security-aware Design-Space Exploration of Embedded Systems' was accepted for the Journal of Low Power Electronics and Applications (special issue on Design Space Exploration and Resource Management of Multi/Many-Core Systems).

Jul 15, 2020

The paper 'μ-Genie: A Framework for Memory-Aware Spatial Processor Architecture Co-Design Exploration' was accepted for Euromicro DSD 2020.

Jun 28, 2020
See all posts

Meet the Team

Group Chair

Avatar

Andy D. Pimentel

Full Professor

Staff

Avatar

Ana Lucia Varbanescu

Associate Professor

Avatar

Clemens Grelck

Associate Professor

Avatar

Anuj Pathania

Assistant Professor

Avatar

Benny Akesson

Professor by special appointment

Avatar

Ana Oprescu

Lecturer

Avatar

Simon Polstra

Scientific Programmer / Lecturer

Postdoctoral Researchers

Avatar

Benjamin Rouxel

Postdoctoral Researcher

Avatar

Jun Xiao

Postdoctoral Researcher

Avatar

Sobhan Niknam

Postdoctoral Researcher

PhD students

Avatar

Dolly Sapra

Phd Student

Avatar

Giulio Stramondo

Phd Student

Avatar

Julius Roeder

Phd Student

Avatar

Hongyun Liu

Phd Student

Avatar

Lukas Miedema

Phd Student

Avatar

Merijn Verstraaten

Phd Student

Avatar

Stephen Swatman

Phd Student

Avatar

Uraz Odyurt

Phd Student

Avatar

Xiaotian Guo

Phd Student

Avatar

Yixian Shen

Phd Student

Secretary

Avatar

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

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

Jun Xiao, Sebastian Altmeyer, Andy D. Pimentel (2020). Schedulability Analysis of Global Scheduling for Multicore Systems with Shared Caches. IEEE Transactions on Computers.

DOI

Ishfaq Hussain, Konstantinos Bletsas, Muhammad Ali Awan, Benny Akesson, Pedro F. Souto, Eduardo Tovar (2019). Response time analysis of multiframe mixed-criticality systems. Proceedings of the 27th International Conference on Real-Time Networks and Systems, RTNS 2019.

DOI

Muhammad Ali Awan, Konstantinos Bletsas, Pedro F. Souto, Benny Akesson, Eduardo Tovar (2019). Techniques and analysis for mixed-criticality scheduling with mode-dependent server execution budgets. ACM Transactions on Embedded Computing Systems.

DOI

Jun Xiao, Andy D. Pimentel, Xu Liu (2019). CPpf: A prefetch aware LLC partitioning approach. Proceedings of the 48th International Conference on Parallel Processing, ICPP 2019.

DOI

See all publications

Contact