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1.
  • Bonna, Ricardo, et al. (författare)
  • Modeling and Simulation of Dynamic Applications Using Scenario-Aware Dataflow
  • 2019
  • Ingår i: ACM Transactions on Design Automation of Electronic Systems. - : ASSOC COMPUTING MACHINERY. - 1084-4309 .- 1557-7309. ; 24:5
  • Tidskriftsartikel (refereegranskat)abstract
    • The tradeoff between analyzability and expressiveness is a key factor when choosing a suitable dataflow model of computation (MoC) for designing, modeling, and simulating applications considering a formal base. A large number of techniques and analysis tools exist for static dataflow models, such as synchronous dataflow. However, they cannot express the dynamic behavior required for more dynamic applications in signal streaming or to model runtime reconfigurable systems. On the other hand, dynamic dataflow models like Kahn process networks sacrifice analyzability for expressiveness. Scenario-aware dataflow (SADF) is an excellent tradeoff providing sufficient expressiveness for dynamic systems, while still giving access to powerful analysis methods. In spite of an increasing interest in SADF methods, there is a lack of formally-defined functional models for describing and simulating SADF systems. This article overcomes the current situation by introducing a functional model for the SADF MoC, as well as a set of abstract operations for simulating it. We present the first modeling and simulation tool for SADF so far, implemented as an open source library in the functional framework ForSyDe. We demonstrate the capabilities of the functional model through a comprehensive tutorial-style example of a RISC processor described as an SADF application, and a traditional streaming application where we model an MPEG-4 simple profile decoder. We also present a couple of alternative approaches for functionally modeling SADF on different languages and paradigms. One of such approaches is used in a performance comparison with our functional model using the MPEG-4 simple profile decoder as a test case. As a result, our proposed model presented a good tradeoff between execution time and implementation succinctness. Finally, we discuss the potential of our formal model as a frontend for formal system design flows regarding dynamic applications.
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3.
  • Jafari, Fahimeh, et al. (författare)
  • Least Upper Delay Bound for VBR Flows in Networks-on-Chip with Virtual Channels
  • 2015
  • Ingår i: ACM Transactions on Design Automation of Electronic Systems. - : Association for Computing Machinery (ACM). - 1084-4309 .- 1557-7309. ; 20:3
  • Tidskriftsartikel (refereegranskat)abstract
    • Real-time applications such as multimedia and gaming require stringent performance guarantees, usually enforced by a tight upper bound on the maximum end-to-end delay. For FIFO multiplexed on-chip packet switched networks we consider worst-case delay bounds for Variable Bit-Rate (VBR) flows with aggregate scheduling, which schedules multiple flows as an aggregate flow. VBR Flows are characterized by a maximum transfer size (L), peak rate (p), burstiness (sigma), and average sustainable rate (rho). Based on network calculus, we present and prove theorems to derive per-flow end-to-end Equivalent Service Curves (ESC), which are in turn used for computing Least Upper Delay Bounds (LUDBs) of individual flows. In a realistic case study we find that the end-to-end delay bound is up to 46.9% more accurate than the case without considering the traffic peak behavior. Likewise, results also show similar improvements for synthetic traffic patterns. The proposed methodology is implemented in C++ and has low run-time complexity, enabling quick evaluation for large and complex SoCs.
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4.
  • Khatib, Iyad Al, et al. (författare)
  • A multiprocessor system-on-chip for real-time biomedical monitoring and analysis : ECG prototype architectural design space exploration
  • 2008
  • Ingår i: ACM Transactions on Design Automation of Electronic Systems. - : Association for Computing Machinery (ACM). - 1084-4309 .- 1557-7309. ; 13:2, s. 31-
  • Tidskriftsartikel (refereegranskat)abstract
    • In this article we focus on multiprocessor system-on-chip (MPSoC) architectures for human heart electrocardiogram (ECG) real time analysis as a hardware/software (HW/SW) platform offering an advance relative to state-of-the-art solutions. This is a relevant biomedical application with good potential market, since heart diseases are responsible for the largest number of yearly deaths. Hence, it is a good target for an application-specific system-on-chip (SoC) and HW/SW codesign. We investigate a symmetric multiprocessor architecture based on STMicroelectronics VLIW DSPs that process in real time 12-lead ECG signals. This architecture improves upon state-of-the-art SoC designs for ECG analysis in its ability to analyze the full 12 leads in real time, even with high sampling frequencies, and its ability to detect heart malfunction for the whole ECG signal interval. We explore the design space by considering a number of hardware and software architectural options. Comparing our design with present-day solutions from an SoC and application point-of-view shows that our platform can be used in real time and without failures.
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5.
  • Kuchcinski, Krzysztof (författare)
  • Constraints-driven scheduling and resource assignment
  • 2003
  • Ingår i: ACM Transactions on Design Automation of Electronic Systems. - : Association for Computing Machinery (ACM). - 1084-4309 .- 1557-7309. ; 8:3, s. 355-383
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper describes a new method for modeling and solving different scheduling and resource assignment problems that are common in high-level synthesis (HLS) and system-level synthesis. It addresses assignment of resources for operations and tasks as well as their static, off-line scheduling. Different heterogeneous constraints are considered for these problems. These constraints can be grouped into two classes: problem-specific constraints and design-oriented constraints. They are uniformly modeled, in our approach, by finite domain (FD) constraints and solved using related constrained programming (CP) techniques. This provides a way to improve quality of final solutions. We have developed in Java a constraint solver engine, JaCoP ( Java Constraint Programming), to evaluate this approach. This solver and a related framework make it possible to model different resource assignment and scheduling problems, and handle them uniformly. The JaCoP prototype system has been extensively evaluated on a number of HLS and system-level synthesis benchmarks. We have been able to obtain optimal results together with related proofs of optimality for all HLS scheduling benchmarks and for all explored design styles ( except one functional pipeline design). Many system-level benchmarks can also be solved optimally. For large randomly generated task graphs, we have used heuristic search methods and obtained results that are 1 - 3% worse than lower bounds or optimal results. These experiments have proved the feasibility of the presented approach.
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6.
  • Mahfouzi, Rouhollah, et al. (författare)
  • Security-aware Routing and Scheduling for Control Applications on Ethernet TSN Networks
  • 2020
  • Ingår i: ACM Transactions on Design Automation of Electronic Systems. - : ACM Publications. - 1084-4309 .- 1557-7309. ; 25:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Today, it is common knowledge in the cyber-physical systems domain that the tight interaction between the cyber and physical elements provides the possibility of substantially improving the performance of these systems that is otherwise impossible. On the downside, however, this tight interaction with cyber elements makes it easier for an adversary to compromise the safety of the system. This becomes particularly important, since such systems typically are composed of several critical physical components, e.g., adaptive cruise control or engine control that allow deep intervention in the driving of a vehicle. As a result, it is important to ensure not only the reliability of such systems, e.g., in terms of schedulability and stability of control plants, but also resilience to adversarial attacks.In this article, we propose a security-aware methodology for routing and scheduling for control applications in Ethernet networks. The goal is to maximize the resilience of control applications within these networked control systems to malicious interference while guaranteeing the stability of all control plants, despite the stringent resource constraints in such cyber-physical systems. Our experimental evaluations demonstrate that careful optimization of available resources can significantly improve the resilience of these networked control systems to attacks.
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7.
  • Mathaikutty, Deepak, et al. (författare)
  • EWD : A metamodeling driven customizable multi-MoC system modeling framework
  • 2007
  • Ingår i: ACM Transactions on Design Automation of Electronic Systems. - : Association for Computing Machinery (ACM). - 1084-4309 .- 1557-7309. ; 12:3, s. 1255470-
  • Tidskriftsartikel (refereegranskat)abstract
    • We present the EWD design environment and methodology, a modeling and simulation framework suited for complex and heterogeneous embedded systems with varying degrees of expressibility and modeling fidelity. This environment promotes the use of multiple models of computation (MoCs) to support heterogeneity and metamodeling for conformance tests of syntactic and static semantics during the process of modeling. Therefore, EWD is a multiple MoC rnodeling and simulation framework that ensures conformance of the MoC formalisms during model construction using a metamodeling approach. In addition, EWD provides a suite of translation tools that generate executable models for two simulation frameworks to demonstrate its language-independent modeling framework. The EWD methodology uses the Generic Modeling Environment for customization of the MoC-specific modeling syntax into a visual representation. To embed the execution semantics of the MoCs into the models, we have built parsing and translation tools that leverage an XML-based interoperability language. This interoperability language is then translated into executable Standard ML or Haskell models that can also be analyzed by existing simulation frameworks such as SML-Sys or ForSyDe. In summary, EWD is a metamodeling driven multitarget design environment with multi-MoC modeling capability.
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8.
  • Niu, Linwei, et al. (författare)
  • Energy-constrained scheduling for weakly hard real-time systems using standby-sparing
  • 2024
  • Ingår i: ACM Transactions on Design Automation of Electronic Systems. - : Association for Computing Machinery (ACM). - 1084-4309 .- 1557-7309. ; 29:2
  • Tidskriftsartikel (refereegranskat)abstract
    • For real-time embedded systems, QoS (Quality of Service), fault tolerance, and energy budget constraint are among the primary design concerns. In this research, we investigate the problem of energy constrained standby-sparing for both periodic and aperiodic tasks in a weakly hard real-time environment. The standby-sparing systems adopt a primary processor and a spare processor to provide fault tolerance for both permanent and transient faults. For such kind of systems, we firstly propose several novel standby-sparing schemes for the periodic tasks which can ensure the system feasibility under tighter energy budget constraint than the traditional ones. Then based on them integrated approachs for both periodic and aperiodic tasks are proposed to minimize the aperiodic response time whilst achieving better energy and QoS performance under the given energy budget constraint. The evaluation results demonstrated that the proposed techniques significantly outperformed the existing state-of-the-art approaches in terms of feasibility and system performance while ensuring QoS and fault tolerance under the given energy budget constraint.
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9.
  • Pop, Paul, et al. (författare)
  • Analysis and optimization of distributed real-time embedded systems
  • 2006
  • Ingår i: ACM Transactions on Design Automation of Electronic Systems. - : Association for Computing Machinery (ACM). - 1084-4309 .- 1557-7309. ; 11:3, s. 593-625
  • Tidskriftsartikel (refereegranskat)abstract
    • An increasing number of real-time applications are today implemented using distributed heterogeneous architectures composed of interconnected networks of processors. The systems are heterogeneous not only in terms of hardware and software components, but also in terms of communication protocols and scheduling policies. In this context, the task of designing such systems is becoming increasingly difficult. The success of new adequate design methods depends on the availability of efficient analysis as well as optimization techniques. In this article, we present both analysis and optimization approaches for such heterogeneous distributed real-time embedded systems. More specifically, we discuss the schedulability analysis of hard real-time systems, highlighting particular aspects related to the heterogeneous and distributed nature of the applications. We also introduce several design optimization problems characteristic of this class of systems: mapping of functionality, the optimization of access to communication channel, and the assignment of scheduling policies to processes. Optimization heuristics aiming at producing a schedulable system with a given amount of resources are presented. © 2006 ACM.
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10.
  • Rosvall, Kathrin, et al. (författare)
  • Flexible and Tradeoff-Aware Constraint-Based Design Space Exploration for Streaming Applications on Heterogeneous Platforms
  • 2018
  • Ingår i: ACM Transactions on Design Automation of Electronic Systems. - : Association for Computing Machinery (ACM). - 1084-4309 .- 1557-7309. ; 23:2
  • Tidskriftsartikel (refereegranskat)abstract
    • Due to its complexity, the problem of mapping and scheduling streaming applications on heterogeneous MPSoCs under real-time and performance constraints has traditionally been tackled by incomplete heuristic algorithms. In recent years, approaches based on Constraint Programming (CP) have shown promising results as complete methods for finding optimal mappings, in particular concerning throughput. However, so far none of the available CP approaches consider the tradeoff between throughput and buffer requirements or throughput and power consumption. This article integrates tradeoff awareness into the CP model and introduces a two-step solving approach that utilizes the advantages of heuristics, while still keeping the completeness property of CP. With a number of experiments considering several streaming applications and different platform models, the article illustrates not only the efficiency of the presented model but also its suitability for solving different problems with various combinations of performance constraints.
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