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The ADAC team , whose mission is the design of adaptive systems and components capable of self-managing to optimize performance, conducts research on the exploration, simulation, and definition of innovative embedded hardware and software architectures, with a focus on the systems’ on-line adaptation to their environment. These strategies aim to optimize system performance in terms of energy efficiency, compliance with application constraints, safety or reliability. This work is based on integrated parallel (multi-core and multi-processor systems) or distributed (grids, sensor networks) computing and attempts to integrate the use of non-volatile emerging technologies such as magnetic memories (MRAM) with new properties.

Significant resources are committed to the definition of the various facets of adaptive systems such as measurement (sensors), data fusion/integration, online decision-making and actuation (task migration, among others). This work is contextualized in various application domains ranging from IoT to intensive computing and digital security.

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Network-on-Chip Computer vision Microarchitecture IoT Cryptography Machine learning Rowhammer Design space exploration Convolutional Neural Network Weight Sharing Adaptation OpenMP Design Space Exploration Generative Adversarial Network Data centre Security Architecture Embedded systems Silent stores Neural networks Resistive RAM Power demand Reliability Model Compression Power Monitoring IP Protection Data Distribution Service Mitigation MRAM Embedded System Multiprocessing systems Physically unclonable function Resource allocation Sustainability Edge computing FPGA security Delays PQC Lightweight cryptography Hardware security Magnetic RAM M2M Education Blockchain Approximate Computing Adaptive systems Non volatile memory Quantization Efficacité énergétique Power Multicore processing RO frequency Simulation Internet of Things Processor scheduling Fog computing Gateway Hardware Accelerator Hardware Side-channel attacks BigLITTLE Deep Neural Networks Detection FPGA Energy-efficiency Framework Computer architecture Analog Parameter exploration RSA Deep learning Modeling STT-MRAM Caches Error analysis Scheduling Gem5 Network-on-chip Monitoring Multicore systems Design methodology Approximate computing Distributed systems Performance evaluation Energy efficiency Renewable energy Machine Learning Gem5 simulator Decentralized network Memory architecture Performance Architecture mémoire Multi-threaded programs Privacy Internet des Objets DRAM Deep Learning Memory hierarchy Parallel programming languages Energy