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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...
This paper presents the design and development of an ultra-low power miniaturized and lightweight wireless sensor node. The node is designed to be worn with minimal effort by small-sized birds to collect, process, and send/receive data to/from a remote host via Bluetooth Low-Energy. The main feature of the developed node is the capability to stream continuously compressed or uncompressed audio and...
The implementation of tactile data decoding on low power embedded system is crucial for the development of e-skin systems that are body worn and supplied by batteries. These embedded electronic systems have to comply with severe constraints imposed by the application, especially real-time functionality battery lifetime. One of the main challenges it to find a sweet spot between power consumption and...
The Internet of Things revolution requires long-battery-lifetime, autonomous end-nodes capable of probing the environment from multiple sensors and transmit it wirelessly after data-fusion, recognition, and classification. Duty-cycling is a well-known approach to extend battery lifetime: it allows to keep the hardware resources of the micro-controller implementing the end-node (MCUs) in sleep mode...
Environmental temperature variations, as well as process variations, have a detrimental effect on performance and reliability of embedded systems implemented with deep-sub micron technologies. This sensitivity significantly increases in ultra-low-power (ULP) devices that operate in near-threshold, due to the magnification of process variations and to the strong thermal inversion that affects advanced...
A typical medical ultrasound-imaging system consists of a passive probe and a backend system containing the analog frontend and the digital processing unit, to which the probe connects over a coaxial cable harness. Digital processing is increasingly performed in software on powerful GPUs or multicore CPUs. These new system architectures have not only enabled new imaging modalities (Ultrafast Imaging,...
Digital ultrasound probes include the entire analog frontend in their enclosing and are equipped with a standard digital link. This enables to build very cost-effective ultrasound systems as they can be simply connected to a commodity device, such as a desktop PC, tablet or smartphone, running an ultrasound imaging application. Up to now, digital probes have been mainly demonstrated for low-end ultrasound...
Achieving a power envelope of few milliwatts combined with tight performance constraints is emerging as one of the key challenges for battery-powered and low cost Internet-of-things (IoT) end-nodes. IoT devices have to cope with highly time-varying workloads, characterized by intermittent “race-to-sleep” bursts of compute-intensive operations mingled with long periods of low activity. Architectural...
In this paper, we present extensions to the floating point unit of the RISC-V ISA with different numeric precision including single precision, half precision and quarter precision. To achieve more energy efficiency transprecision feature is introduced through configurable mantissa precision, which can be used to reduce the number of iterations and thus reduce the energy consumption achieving a programmable...
We present ongoing work on a platform for mobile health and implantable telemetry devices with powerful point-of-contact processing capabilities based on our VivoSoC multi-sensor medical instrumentation SoC, a custom power management IC, and only a few additional components - allowing the realisation of sub-ccm devices. We detail the powerful yet efficient acquisition and parallel processing capabilities...
Power consumption and high compute density are the key factors to be considered when building a compute node for the upcoming Exascale revolution. Current architectural design and manufacturing technologies are not able to provide the requested level of density and power efficiency to realise an operational Exascale machine. A disruptive change in the hardware design and integration process is needed...
We propose a highly structured neural network architecture for semantic segmentation with an extremely small model size, suitable for low-power embedded and mobile platforms. Specifically, our architecture combines i) a Haar wavelet-based tree-like convolutional neural network (CNN), ii) a random layer realizing a radial basis function kernel approximation, and iii) a linear classifier. While stages...
In this paper we present a low-cost distributed embedded system for Structural Health Monitoring (SHM) that uses very cost-effective MEMS accelerometers, instead of more expensive piezoelectric analog transducers. The proposed platform provides online filtering and fusion of the collected data directly on-board. Data are transmitted after processing using a WiFi transceiver. Low-cost and synchronized...
Real-time biosignal classification in power-constrained embedded applications is a key step in designing portable e-healtb devices requiring hardware integration along with concurrent signal processing. This paper presents an application based on a novel biomedical System-On-Chip (SoC) for signal acquisition and processing combining a homogeneous multi-core cluster with a versatile bio-potential front-end...
Unmanned Aerial Vehicles (UAVs) with high level autonomous navigation capabilities are a hot topic both in industry and academia due to their numerous applications. However, autonomous navigation algorithms are demanding from the computational standpoint, and it is very challenging to run them on-board of nano-scale UAVs (i.e., few centimeters of diameter) because of the limited capabilities of their...
Wearable smart sensing is a promising technology to enhance user experience that has already been exploited in sport/fitness, as well as health and human monitoring. Wearable sensing systems not only provide continuous data monitoring and acquisition, but are also expected to process, and make sense of the acquired data by classification in similar ways as human experts do. Supporting continuous operation...
Deep convolutional neural networks are being regarded today as an extremely effective and flexible approach for extracting actionable, high-level information from the wealth of raw data produced by a wide variety of sensory data sources. CNNs are however computationally demanding: today they typically run on GPU-accelerated compute servers or high-end embedded platforms. Industry and academia are...
We present an integer-N all-digital frequency-locked loop (ADFLL) suitable for dynamic voltage and frequency scaling in system-on-chips targeting mW-consumption. The proposed ADFLL operates with a 32 kHz clock reference, and offers a large clock multiplication factor of 32786, resulting in a wide tuning-range from 19 kHz to 1.048 GHz at 1.2 V and to 250 MHz at 0.8 V,. It incorporates a jitter reduction...
Due to increasing demand of low power computing, and diminishing returns from technology scaling, industry and academia are turning with renewed interest toward energy-efficient programmable accelerators. This paper proposes an Integrated Programmable-Array accelerator (IPA) architecture based on an innovative execution model, targeted to accelerate both data and control-flow parts of deeply embedded...
Medical ultrasound processing features two main components: A transducer head to generate the ultrasound wave and acquire the reflected signals and a processing system that will generate the final image. The connection between these two components is established using digital communication over a USB link for smaller mobile systems whereas large stationary systems operating with 4–16x more channels...
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