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This paper presents a novel energy-efficient and Dynamically Reconfigurable Computing Circuit (DRC2) concept based on memory architecture for data-intensive (imaging, …) and secure (cryptography, …) applications. The proposed computing circuit is based on a 10-Transistor (10T) 3-Port SRAM bitcell array driven by a peripheral circuitry enabling all basic operations that can be traditionally performed...
For the last 25 years, occupancy grids have been intensively used as a well-understood framework for many robotic applications, such as path planning or obstacle avoidance. They offer a unifying framework for multiple heterogeneous sensor integration using a probabilistic representation of sensor data. This integration is computed through Bayesian techniques or evidence combination approaches, both...
Occupancy Grids (OGs) are a popular framework for robotic perception. They were recently adopted for performing multisensor fusion and environment mapping for autonomous vehicles. However, high computational requirements strongly hinder their integration into less powerful automotive ECUs. To overcome this problem, we propose an algorithmic improvement for mapping range measurements into OGs. Experiments...
This paper presents a new proportional-integral (PI) controller that sets the operating point of computing tiles in a system on chip (SoC). We address data-parallel applications with throughput constraints. The controller settings are investigated for application configurations with different QoS levels and different buffer sizes. The control method is evaluated on a test chip with four tiles executing...
With the explosion of advanced power control knobs such as dynamic voltage frequency scaling, mastering energy constraints in embedded systems is becoming challenging for software developers. Several power estimation techniques have been proposed over the past years, from electrical level to more abstract models such as SystemC/TLM. They offer various tradeoffs between performance and accuracy, but...
Modern SoCs are characterized by increasing power density and consequently increasing temperature, that directly impacts performances, reliability and cost of a device through its packaging. Thermal issues need to be predicted and mitigated as early as possible in the design flow, when the optimization opportunities are the highest. In this paper, we present an efficient framework for the design of...
Safe Autonomous Vehicles (AVs) will emerge when comprehensive perception systems will be successfully integrated into vehicles. Advanced perception algorithms based on occupancy grids were developed for AV prototypes. These algorithms estimate the position and speed of every obstacle in the environment by using data fusion from multiple sensors. Computational requirements of such fusion prevent their...
Energy management is essential for cyber-physical systems. Such systems typically consist of several, often distributed, sub-systems that may communicate. State-of-the-art hardware blocks employed in these sub-systems have several power-modes that can be controlled to consume less energy. To-date, the decision of power-modes is most of the times taken within each of the sub-systems. However, it does...
Power efficiency of embedded systems is a tremendous challenge within the context of platforms with limited power-budget and high computational performance. These conflicting design objectives can be met if both the clock frequency and the supply voltage are dynamically controlled with respect to the ongoing application requirement. As a result, a new trend has appeared in the design of MultiProcessor...
Compute-intensive applications can greatly benefit from the flexibility of NoC-based heterogeneous multi-core platforms. However, mapping applications on such MPSoC is becoming increasingly complex and requires integrated design flows. We conducted a case study to evaluate the benefits of an integrated design flow for the mapping space exploration of a real telecommunication application on a NoC-based...
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