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