Research group
The Parallel Computing Systems (PCS) group at the University of Amsterdam performs research on the design, programming and run-time management of parallel and distributed computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but also the degree of productivity to design and program these systems, play a pivotal role in this work.
Improved Secure Semiconductor Evaluations
Secure, trusted, and optimized communication across the compute continuum
Pushing the frontiers of 2.5/3D chiplet architectures
Secure and trusted environment for decentralized, cooperative processing
DNN model inference on resource-constrained Edge devices
Thermal modeling, simulation and optimization of chips
Monitor the Energy Costs of Digital Services
Approximate Computing for Power and Energy Optimisation [Finalized]
Towards Adaptively Morphing Embedded Systems [Finalized]
Towards Optimal Design of Complex, Distributed Cyber Physical Systems
Interactive DSL for Composable EFB Adaptation using Bi-simulation and Extrinsic Coordination [Finalized]
Time, Energy and security Analysis for Multi/Many-core heterogenous PLAtforms [Finalized]
Software framework for runtime-Adaptive and secure deep Learning On Heterogeneous Architectures [Finalized]
Automated Distributed CNN Inference at the Edge
for heterogeneous real-time systems
Transient-Temperature Based Safe Power Budgeting in Multi-/Many-Core Processors
Core-memory thermal simulations for 2D, 2.5D, and 3D processors
Interval thermal simulation of 2D multi-/many-cores
High-throughput CPU-GPU CNN inference pipeline
High-level modeling and simulation of MPSoCs for early DSE
for modeling software interfaces
