Safety-critical systems operate in contexts where failure may lead to serious harm for humans or the environment. Safety standards, e.g., IEC 61508 or ISO 26262, provide development guidelines to improve the safety of...
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The advent of commercial-off-the-shelf (COTS) heterogeneous multicore platforms is offering many opportunities in the market of embedded computing systems for many application scenarios. The integration of multiple co...
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embedded system applications, with their inherently limited parallelism, rarely exploit all available processing resources in large DSM-based manycore architectures. In addition, global coherence spanning across all t...
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ISBN:
(纸本)9783030275624;9783030275617
embedded system applications, with their inherently limited parallelism, rarely exploit all available processing resources in large DSM-based manycore architectures. In addition, global coherence spanning across all tiles does not scale well. Therefore, we have proposed a region-based cache coherence (RBCC) approach that enables coherence among a selectable cluster of tiles in accordance with application requirements. In this paper, we present a novel RBCC-malloc() extension that transparently tailors coherence to actually shared application working sets at runtime. Further, the design and hardware implementation of a flexibly configurable coherency region manager (CRM) supporting RBCC-malloc() are introduced. We synthesized the CRM on an FPGA for a 64-core system and observed a 57% reduction in BRAM-utilization compared to a global coherence directory for regions with up to 16 cores. Experiments reveal an application acceleration of up to 42% compared to a message passing based implementation. We also demonstrate the advantage of RBCC-malloc() compared to standalone RBCC.
Markov Decision Processes (MDPs) provide a powerful decision making framework, which is increasingly being used in the design of embedded Computing systems (ECSs). This paper presents a detailed accounting of the use ...
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ISBN:
(纸本)9783030275624;9783030275617
Markov Decision Processes (MDPs) provide a powerful decision making framework, which is increasingly being used in the design of embedded Computing systems (ECSs). This paper presents a detailed accounting of the use of MDPs in this context across research groups, including reference implementations, common datasets, file formats and platforms. Inspired by recent results showing the promising outlook of using embedded GPUs to solve MDPs on ECSs, we detail the many challenges that designers currently face and present GEMBench (the Gpu accelerated embedded Mdp testBench) in order to facilitate experimental research in this area. GEMBench is targeted to a specific embedded GPU platform, the NVIDIA Jetson platform, and is designed for future retargetability to other platforms. GEMBench is a novel open source software package that is intended to run on the target platform. The package contains libraries of MDP solvers, parsers, datasets and reference solutions, which provide a comprehensive infrastructure for understanding trade-offs among existing embedded MDP techniques, and experimenting with novel techniques.
With rising power densities in modern-day electronic systems, temperature has emerged as a fundamental design constraint. This has led to the advent of a range of thermal-aware design and runtime management techniques...
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With rising power densities in modern-day electronic systems, temperature has emerged as a fundamental design constraint. This has led to the advent of a range of thermal-aware design and runtime management techniques. However, such techniques are heavily dependent on a fast and accurate thermal modeling method. These methods need to account for manufacturing variability, that significantly impacts the chip's power and performance. Similarly, leakage power too contributes to a substantial portion of the total power. Thus a thermal modeling method can be accurate only if it is capable of incorporating the effects of process variation as well as leakage power. In this paper, we propose a simple and elegant residual convolutional neural network for thermal estimation in the presence of variability, which leverages the physics of heat transfer. Our approach is capable of modeling modern-day 3D chips with microchannels and incorporates accurate leakage power models. To enable ultra-fast thermal estimation, we implement our technique on a GPU. Our experiments show that our technique is orders of magnitude faster than the state-of-the-art with a similar, if not better, accuracy. The mean absolute error using our technique is 0.61°C, for a maximum temperature rise of 67.5°C (0.9%).
Modern scientific workloads have demonstrated the inefficiency of using high precision formats. Moving to a lower bit format or even to a different number system can provide tremendous gains in terms of performance an...
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ISBN:
(纸本)9783030275624;9783030275617
Modern scientific workloads have demonstrated the inefficiency of using high precision formats. Moving to a lower bit format or even to a different number system can provide tremendous gains in terms of performance and energy efficiency. In this article, we explore the applicability of different number formats and exhaustively search for the appropriate bit width for 3D complex stencil kernels, which are one of the most widely used scientific kernels. Further, we demonstrate the achievable performance of these kernels on state-of-the-art hardware that includes CPU and FPGA, which is the only hardware supporting arbitrary fixed-point precision. Thus, this work fills the gap between current hardware capabilities and future systems for stencil-based scientific applications.
Cyber-Physical systems (CPS) are interconnected devices, reactive and dynamic to sensed external and internal triggers. The H2020 CERBERO EU Project is developing a design environment composed by modelling, deployment...
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ISBN:
(纸本)9783030275624;9783030275617
Cyber-Physical systems (CPS) are interconnected devices, reactive and dynamic to sensed external and internal triggers. The H2020 CERBERO EU Project is developing a design environment composed by modelling, deployment and verification tools for adaptive CPS. This paper focuses on its efficient support for run-time self-adaptivity.
The Modular Microserver DataCenter (M2DC) project provides low-energy, configurable, heterogeneous servers for applications that focus on the elaboration of large data sets, but can take advantage of performance enhan...
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ISBN:
(纸本)9783030275624;9783030275617
The Modular Microserver DataCenter (M2DC) project provides low-energy, configurable, heterogeneous servers for applications that focus on the elaboration of large data sets, but can take advantage of performance enhancement provided by transparent acceleration techniques. In this paper, we exemplify the M2DC approach through one of the project's use cases, namely automotive Internet of Things analytics. We present the main goals of the use case and we show how an appropriate M2DC microserver can be used to accelerate the application without significant modifications to its code.
In the era of total digitalization, an important application area is the creation of platforms for remote educational and scientific laboratory research on real equipment. The online laboratory *** is a multi-level in...
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The proceedings contain 23 papers. The special focus in this conference is on computer Science, Electronics and Industrial Engineering. The topics include: Real-Time Hand Gesture Recognition: A Long Short-Term Memory ...
ISBN:
(纸本)9783030336134
The proceedings contain 23 papers. The special focus in this conference is on computer Science, Electronics and Industrial Engineering. The topics include: Real-Time Hand Gesture Recognition: A Long Short-Term Memory Approach with Electromyography;development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries;enabling Electronic System for Emergency Alerts;evaluation of Internet of Things Protocols for Shopfloor Communication Integration;embedded System for Hand Gesture Recognition Using EMG Signals: Effect of Size in the Analysis Windows;A Novel Technique for Improving the Robustness to Sensor Rotation in Hand Gesture Recognition Using sEMG;optimization of Motorcycle Assembly Processes Based on Lean Manufacturing Tools;a Study on modeling and simulation of Automobile Painting Process Based on Flexsim;ergonomic Postural Evaluation System Through Non-invasive Sensors;semantic Processing Method to Improve a Query-Based Approach for Mining Concept Maps;energy Supply of a Hybrid System of Biomass and Wind Turbines of the Pichacay Landfill Towards an Intelligent Network for the City of Cuenca-Ecuador;fractal Control Design with Anti-windup Effect for Optimal Operation of a Power Flyback Source;symptomatology of Musculoskeletal Pain Related to Repetitive Movements. Preliminary Study "Post-harvest in Floriculture Companies";design of an Ergonomic Prototype for Physical Rehabilitation of People with Paraplegia;an Ontology-Based Data Management Model Applied to a Real Information System;image Analysis Based on Heterogeneous architectures for Precision Agriculture: A Systematic Literature Review;educational Robot Using Lego Mindstorms and Mobile Device;use of E-Learning and Audio-Lingual Method for the Development of Listening Comprehension Skills.
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