From the editor: real-time and embedded systems--teaching reliability

Journal ArticleCan we teach students to build reliable embedded software? Although it would be rash to say that a general agreement exists on how to teach embedded systems, there's certainly a growing understanding of the issues. For example, the excellent August 2005 issue of ACM Transactions on Embedded Computing Systems devoted 182 pages to embedded systems education. However, surprisingly few of these pages discuss the problem of teaching students to build reliable software systems

Modular DFR: Digital Delayed Feedback Reservoir Model for Enhancing Design Flexibility

A delayed feedback reservoir (DFR) is a type of reservoir computing system well-suited for hardware implementations owing to its simple structure. Most existing DFR implementations use analog circuits that require both digital-to-analog and analog-to-digital converters for interfacing. However, digital DFRs emulate analog nonlinear components in the digital domain, resulting in a lack of design flexibility and higher power consumption. In this paper, we propose a novel modular DFR model that is suitable for fully digital implementations. The proposed model reduces the number of hyperparameters and allows flexibility in the selection of the nonlinear function, which improves the accuracy while reducing the power consumption. We further present two DFR realizations with different nonlinear functions, achieving 10x power reduction and 5.3x throughput improvement while maintaining equal or better accuracy.Comment: 20 pages, 11 figures. Accepted for publication in the International Conference on Compilers, Architectures, and Synthesis for Embedded Systems (CASES) 2023. Will appear in ACM Transactions on Embedded Computing Systems (TECS

A Brief Comment on "A Complete Self-Testing and Self-Configuring NoC Infrastructure for Cost-Effective MPSoCs"

© ACM, 2015. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Embedded Computing Systems, Vol. 14, No. 1, Article 2, january 2015. http://doi.acm.org/10.1145/2668121[EN] In the Ghiribaldi et al. [2013] paper, a complete self-testing and self configuring NoC infrastructure for cost-effective MPSoCs was presented in order to make NoC architecture tolerant to faults. To overcome the complexity involved during the complete reconfiguration of routing instances in the face of most of the usual failure patterns, Ghiribaldi et al. [2013] proposed a fast self-reconfiguration algorithm. The algorithm is based on segment-based routing implemented using Logic-Based Distributed Routing (LBDR) and claimed to have handled the most common NoC faults. The purpose of this comment is to demonstrate the inconsistency of the fast self-configuration method presented in Ghiribaldi et al. [2013]. To handle inconsistency, we present the correct set of LBDR bits and also argue that complete reconfiguration of the routing instance is mandatory to handle some fault combinations. New coverage results of the fast self-reconfiguration algorithm of Ghiribaldi et al. [2013] are also presented.This work is supported by Indo-Spain DST project under grant DST/INT/Spain/P35/11/1 and Spanish Ministerio de Economa y Competitividad (MINECO) under grant PRI-PIBIN-2011-0989Bishnoi, R.; Laxmi, V.; Gaur, MS.; Flich Cardo, J.; Trivino, F. (2015). A Brief Comment on "A Complete Self-Testing and Self-Configuring NoC Infrastructure for Cost-Effective MPSoCs". ACM Transactions in Embedded Computing Systems. 14(1):1-9. https://doi.org/10.1145/2668121S19141A. Ghiribaldi, D. Ludovici, F. Triviño, A. Strano, J. Flich, J. L. Sánchez, F. Alfaro, M. Favalli, and D. Bertozzi. 2013. A complete self-testing and self-configuring NoC infrastructure for cost-effective MPSoCs. ACM Trans. Embed. Comput. Syst. 12, 4 (July 2013), 106:1--106:29. DOI: http://dx.doi.org/10.1145/2485984.2485994A. Mejia. 2008. Design and Implementation of Efficient Topology Agnostic Routing Algorithms for Interconnection Networks. Ph.D. Dissertation. University of Valencia.A. Mejia, J. Flich, and J. Duato. 2008. On the potentials of segment-based routing for NoCs. In Proceedings of the 37th International Conference on Parallel Processing (ICPP’08). IEEE, 594--603. DOI: http://dx.doi.org/10.1109/ICPP.2008.56S. Rodrigo, S. Medardoni, J. Flich, D. Bertozzi, and J. Duato. 2009. Efficient implementation of distributed routing algorithms for NoCs. IET Comput. Digital Techn. 3, 5 (2009), 460--475. DOI: http://dx.doi.org/10.1049/iet-cdt.2008.0092A. Strano, D. Bertozzi, F. Trivino, J. L. Sanchez, F. J. Alfaro, and J. Flich. 2012. OSR-Lite: Fast and deadlock-free NoC reconfiguration framework. In Proceedings of the International Conference on Embedded Computer Systems (SAMOS’12). 86--95. DOI: http://dx.doi.org/10.1109/SAMOS.2012.640416

Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives

© ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Computing Surveys, Vol. 53, No. 5, Article 95. Publication date: September 2020. https://doi.org/10.1145/3403956[EN] Performance and power constraints come together with Complementary Metal Oxide Semiconductor technology scaling in future Exascale systems. Technology scaling makes each individual transistor more prone to faults and, due to the exponential increase in the number of devices per chip, to higher system fault rates. Consequently, High-performance Computing (HPC) systems need to integrate prediction, detection, and recovery mechanisms to cope with faults efficiently. This article reviews fault detection, fault prediction, and recovery techniques in HPC systems, from electronics to system level. We analyze their strengths and limitations. Finally, we identify the promising paths to meet the reliability levels of Exascale systems.This work has received funding from the European Union's Horizon 2020 (H2020) research and innovation program under the FET-HPC Grant Agreement No. 801137 (RECIPE). Jaume Abella was also partially supported by the Ministry of Economy and Competitiveness of Spain under Contract No. TIN2015-65316-P and under Ramon y Cajal Postdoctoral Fellowship No. RYC-2013-14717, as well as by the HiPEAC Network of Excellence. Ramon Canal is partially supported by the Generalitat de Catalunya under Contract No. 2017SGR0962.Canal, R.; Hernández Luz, C.; Tornero-Gavilá, R.; Cilardo, A.; Massari, G.; Reghenzani, F.; Fornaciari, W.... (2020). Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives. ACM Computing Surveys. 53(5):1-32. https://doi.org/10.1145/3403956S132535Abella, J., Hernandez, C., Quinones, E., Cazorla, F. J., Conmy, P. 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A dynamic power-aware partitioner with task migration for multicore embedded systems

Nowadays, a key design issue in embedded systems is how to reduce the power consumption, since batteries have a limited energy budget. For this purpose, several techniques such as Dynamic Voltage Scaling (DVS) or task migration can be used. DVS allows reducing power by selecting the optimal voltage supply, while task migration achieves this effect by balancing the workload among cores. This paper first analyzes the impact on energy due to task migration in multicore embedded systems with DVS capability and using the well-known Worst Fit (WF) partitioning heuristic. To reduce overhead, migrations are only performed at the time that a task arrives to and/or leaves the system and, in such a case, only one migration is allowed. The huge potential on energy saving due to task migration, leads us to propose a new dynamic partitioner, namely DP, that migrates tasks in a more efficient way than typical partitioners. Unlike WF, the proposed algorithm examines which is the optimal target core before allowing a migration. Experimental results show that DP can improve energy consumption in a factor up to 2.74 over the typical WF algorithm. © 2011 Springer-Verlag.This work was supported by Spanish CICYT under Grant TIN2009-14475-C04-01, and by Consolider-Ingenio under Grant CSD2006-00046.March Cabrelles, JL.; Sahuquillo Borrás, J.; Petit Martí, SV.; Hassan Mohamed, H.; Duato Marín, JF. (2011). A dynamic power-aware partitioner with task migration for multicore embedded systems. En Euro-Par 2011 Parallel Processing. Springer Verlag (Germany). 2011(6852):218-229. https://doi.org/10.1007/978-3-642-23400-2_21S21822920116852AlEnawy, T.A., Aydin, H.: Energy-Aware Task Allocation for Rate Monotonic Scheduling. In: Proceedings of the 11th Real Time on Embedded Technology and Applications Symposium, March 7-10, pp. 213–223. 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A Survey of Techniques For Improving Energy Efficiency in Embedded Computing Systems

Recent technological advances have greatly improved the performance and features of embedded systems. With the number of just mobile devices now reaching nearly equal to the population of earth, embedded systems have truly become ubiquitous. These trends, however, have also made the task of managing their power consumption extremely challenging. In recent years, several techniques have been proposed to address this issue. In this paper, we survey the techniques for managing power consumption of embedded systems. We discuss the need of power management and provide a classification of the techniques on several important parameters to highlight their similarities and differences. This paper is intended to help the researchers and application-developers in gaining insights into the working of power management techniques and designing even more efficient high-performance embedded systems of tomorrow

Energy-efficient and high-performance lock speculation hardware for embedded multicore systems

Embedded systems are becoming increasingly common in everyday life and like their general-purpose counterparts, they have shifted towards shared memory multicore architectures. However, they are much more resource constrained, and as they often run on batteries, energy efficiency becomes critically important. In such systems, achieving high concurrency is a key demand for delivering satisfactory performance at low energy cost. In order to achieve this high concurrency, consistency across the shared memory hierarchy must be accomplished in a cost-effective manner in terms of performance, energy, and implementation complexity. In this article, we propose Embedded-Spec, a hardware solution for supporting transparent lock speculation, without the requirement for special supporting instructions. Using this approach, we evaluate the energy consumption and performance of a suite of benchmarks, exploring a range of contention management and retry policies. We conclude that for resource-constrained platforms, lock speculation can provide real benefits in terms of improved concurrency and energy efficiency, as long as the underlying hardware support is carefully configured.This work is supported in part by NSF under Grants CCF-0903384, CCF-0903295, CNS-1319495, and CNS-1319095 as well the Semiconductor Research Corporation under grant number 1983.001. (CCF-0903384 - NSF; CCF-0903295 - NSF; CNS-1319495 - NSF; CNS-1319095 - NSF; 1983.001 - Semiconductor Research Corporation

An Algebraic Framework for the Real-Time Solution of Inverse Problems on Embedded Systems

This article presents a new approach to the real-time solution of inverse problems on embedded systems. The class of problems addressed corresponds to ordinary differential equations (ODEs) with generalized linear constraints, whereby the data from an array of sensors forms the forcing function. The solution of the equation is formulated as a least squares (LS) problem with linear constraints. The LS approach makes the method suitable for the explicit solution of inverse problems where the forcing function is perturbed by noise. The algebraic computation is partitioned into a initial preparatory step, which precomputes the matrices required for the run-time computation; and the cyclic run-time computation, which is repeated with each acquisition of sensor data. The cyclic computation consists of a single matrix-vector multiplication, in this manner computation complexity is known a-priori, fulfilling the definition of a real-time computation. Numerical testing of the new method is presented on perturbed as well as unperturbed problems; the results are compared with known analytic solutions and solutions acquired from state-of-the-art implicit solvers. The solution is implemented with model based design and uses only fundamental linear algebra; consequently, this approach supports automatic code generation for deployment on embedded systems. The targeting concept was tested via software- and processor-in-the-loop verification on two systems with different processor architectures. Finally, the method was tested on a laboratory prototype with real measurement data for the monitoring of flexible structures. The problem solved is: the real-time overconstrained reconstruction of a curve from measured gradients. Such systems are commonly encountered in the monitoring of structures and/or ground subsidence.Comment: 24 pages, journal articl