index - ADAptive Computing

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