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GPU-Accelerated Real-Time Path Planning and the Predictable Execution Model
(2017)Procedia Computer SciencePath planning is one of the key functional blocks for autonomous vehicles constantly updating their route in real-time. Heterogeneous many-cores are appealing candidates for its execution, but the high degree of resource sharing results in very unpredictable timing behavior. The predictable execution model (PREM) has the potential to enable the deployment of real-time applications on top of commercial off-the-shelf (COTS) heterogeneous ...Conference Paper -
Fanncortexm: An open source toolkit for deployment of multi-layer neural networks on arm cortex-m family microcontrollers : formance analysis with stress detection
(2019)2019 IEEE 5th World Forum on Internet of Things (WF-IoT)Conference Paper -
Ultra-Low Power Context Recognition Fusing Sensor Data from an Energy-Neutral Smart Watch
(2016)Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ~ Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015, Revised Selected Papers, Part IIConference Paper -
UltraLight: An ultrafast imaging platform based on a digital 64-channel ultrasound probe
(2017)2017 IEEE International Ultrasonics Symposium (IUS)Conference Paper -
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data
(2017)Proceedings of the 11th International Conference on Distributed Smart Cameras (ICDSC 2017)Conference Paper -
Wearable, Energy-Opportunistic Vision Sensing for Walking Speed Estimation
(2017)2017 IEEE Sensors Applications Symposium (SAS)Conference Paper -
HePREM: Enabling Predictable GPU Execution on Heterogeneous SoC
(2018)2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)Conference Paper -
Prediction Horizon vs. Efficiency of Optimal Dynamic Thermal Control Policies in HPC Nodes
(2017)2017 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC)We are entering the era of thermally-bound computing: Advanced and costly cooling solutions are needed to sustain the high computing densities of high-performance computing equipment. To reduce cooling costs and cooling overprovisioning, dynamic thermal management (DTM) strategies aim at controlling the device temperature by modulating online the performance of processing elements. While operating systems allow the migration of threads ...Conference Paper -
Cooling-aware node-level task allocation for next-generation green HPC systems
(2016)2016 International Conference on High Performance Computing & Simulation (HPCS 2016)Energy-efficiency is of primary interest in future HPC systems as their computational growth is limited by the supercomputer peak power consumption. A significant part of the power consumed by a supercomputer machine is caused by the cooling infrastructure. Todays thermal design is based on coarse grain models which consider the silicon die of the processing elements as an isothermal surface. Similarly feedback control loops uses the same ...Conference Paper -
Embedded Classification of Local Field Potentials Recorded from Rat Barrel Cortex with Implanted Multi-Electrode Array
(2018)2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)This paper focuses on ultra-low power embedded classification of neural activities. The machine learning (ML) algorithm has been trained using evoked local field potentials (LFPs) recorded with an implanted 16x16 multi-electrode array (MEA) from the rat barrel cortex while stimulating the whisker. Experimental results demonstrate that ML can be successfully applied to noisy single-trial LFPs. We achieved up to 95.8% test accuracy in ...Conference Paper