Scheduling Real Time Streaming Applications Onto An Embedded Multiprocessor
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| Author | : Orlando Moreira |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 202 |
| Release | : 2013-11-20 |
| Genre | : Technology & Engineering |
| ISBN | : 3319012460 |
This book provides a comprehensive overview of the state-of-the-art, data flow-based techniques for the analysis, modeling and mapping technologies of concurrent applications on multi-processors. The authors present a flow for designing embedded hard/firm real-time multiprocessor streaming applications, based on data flow formalisms, with a particular focus on wireless modem applications. Architectures are described for the design tools and run-time scheduling and resource management of such a platform.
| Author | : Sanjoy Baruah |
| Publisher | : Springer |
| Total Pages | : 234 |
| Release | : 2015-01-02 |
| Genre | : Technology & Engineering |
| ISBN | : 3319086960 |
This book provides a comprehensive overview of both theoretical and pragmatic aspects of resource-allocation and scheduling in multiprocessor and multicore hard-real-time systems. The authors derive new, abstract models of real-time tasks that capture accurately the salient features of real application systems that are to be implemented on multiprocessor platforms, and identify rules for mapping application systems onto the most appropriate models. New run-time multiprocessor scheduling algorithms are presented, which are demonstrably better than those currently used, both in terms of run-time efficiency and tractability of off-line analysis. Readers will benefit from a new design and analysis framework for multiprocessor real-time systems, which will translate into a significantly enhanced ability to provide formally verified, safety-critical real-time systems at a significantly lower cost.
| Author | : Sundararajan Sriram |
| Publisher | : CRC Press |
| Total Pages | : 380 |
| Release | : 2017-06-20 |
| Genre | : |
| ISBN | : 9781138114173 |
Techniques for Optimizing Multiprocessor Implementations of Signal Processing Applications An indispensable component of the information age, signal processing is embedded in a variety of consumer devices, including cell phones and digital television, as well as in communication infrastructure, such as media servers and cellular base stations. Multiple programmable processors, along with custom hardware running in parallel, are needed to achieve the computation throughput required of such applications. Reviews important research in key areas related to the multiprocessor implementation of multimedia systems Embedded Multiprocessors: Scheduling and Synchronization, Second Edition presents architectures and design methodologies for parallel systems in embedded digital signal processing (DSP) applications. It discusses application modeling techniques for multimedia systems, the incorporation of interprocessor communication costs into multiprocessor scheduling decisions, and a modeling methodology (the synchronization graph) for multiprocessor system performance analysis. The book also applies the synchronization graph model to develop hardware and software optimizations that can significantly reduce the interprocessor communication overhead of a given schedule. Chronicles recent activity dealing with single-chip multiprocessors and dataflow models This edition updates the background material on existing embedded multiprocessors, including single-chip multiprocessors. It also summarizes the new research on dataflow models for signal processing that has been carried out since the publication of the first edition. Harness the power of multiprocessors This book explores the optimization of interprocessor communication and synchronization in embedded multiprocessor systems. It shows you how to design multiprocessor computer systems that are streamlined for multimedia applications.
| Author | : Olfat Elmahi |
| Publisher | : |
| Total Pages | : 128 |
| Release | : 2016 |
| Genre | : |
| ISBN | : |
| Author | : Yi Wang |
| Publisher | : |
| Total Pages | : 140 |
| Release | : 2011 |
| Genre | : Multiprocessors |
| ISBN | : |
Second, we jointly optimize computation and communication task scheduling for streaming applications on MPSoCs with the objective of minimizing schedule length by totally removing intercore communication overhead. By minimizing schedule length, the system performance can be improved by adopting a smaller period or exploring the slacks generated for energy reduction with DVS. To guarantee the schedulability of communication tasks, we perform the schedulability analysis, and theoretically obtain the upper bound of the times needed to reschedule each computation task. Based on the analysis, we formulate the scheduling problem as an ILP (Integer Linear Programming) formulation and obtain an optimal solution. Experimental results show that our technique can achieve a 27.72% reduction in schedule length and a 14.98% reduction in energy consumption compared with previous work. Third, we study the problem of removing intercore communication overhead for streaming applications on MPSoCs with the objective of minimizing the overall memory usage. The intercore communication overhead not only impacts time performance considerably but also influences the total memory usage of MPSoC architecture. Our basic idea is to let tasks with intra-period data dependencies transform to inter-period data dependencies so as to totally remove the intercore communication overhead. To solve the problem, we first perform analysis and obtain the bounds of the times needed to reschedule each task. Then we formulate the scheduling problem as an ILP model to obtain an optimal schedule. We also propose a heuristic approach to efficiently obtain a near optimal solution. Experimental results show that the proposed approach can significantly reduce the schedule length and improve the memory usage compared with previous work.
| Author | : Dawei Li |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 67 |
| Release | : 2012-10-20 |
| Genre | : Business & Economics |
| ISBN | : 1461452236 |
Multiprocessor platforms play important roles in modern computing systems, and appear in various applications, ranging from energy-limited hand-held devices to large data centers. As the performance requirements increase, energy-consumption in these systems also increases significantly. Dynamic Voltage and Frequency Scaling (DVFS), which allows processors to dynamically adjust the supply voltage and the clock frequency to operate on different power/energy levels, is considered an effective way to achieve the goal of energy-saving. This book surveys existing works that have been on energy-aware task scheduling on DVFS multiprocessor platforms. Energy-aware scheduling problems are intrinsically optimization problems, the formulations of which greatly depend on the platform and task models under consideration. Thus, Energy-aware Scheduling on Multiprocessor Platforms covers current research on this topic and classifies existing works according to two key standards, namely, homogeneity/heterogeneity of multiprocessor platforms and the task types considered. Under this classification, other sub-issues are also included, such as, slack reclamation, fixed/dynamic priority scheduling, partition-based/global scheduling, and application-specific power consumption, etc.
| Author | : Francky Catthoor |
| Publisher | : Springer Nature |
| Total Pages | : 230 |
| Release | : 2019-09-16 |
| Genre | : Technology & Engineering |
| ISBN | : 3030203433 |
This book introduces a generic and systematic design-time/run-time methodology for handling the dynamic nature of modern embedded systems, without adding large safety margins in the design. The techniques introduced can be utilized on top of most existing static mapping methodologies to deal effectively with dynamism and to increase drastically their efficiency. This methodology is based on the concept of system scenarios, which group system behaviors that are similar from a multi-dimensional cost perspective, such as resource requirements, delay, and energy consumption. Readers will be enabled to design systems capable to adapt to current inputs, improving system quality and/or reducing cost, possibly learning on-the-fly during execution. Provides an effective solution to deal with dynamic system design Includes a broad survey of the state-of-the-art approaches in this domain Enables readers to design for substantial cost improvements (e.g. energy reductions), by exploiting system scenarios Demonstrates how the methodology has been applied effectively on various, real design problems in the embedded system context
| Author | : Shuvra S. Bhattacharyya |
| Publisher | : Springer |
| Total Pages | : 1203 |
| Release | : 2018-10-13 |
| Genre | : Technology & Engineering |
| ISBN | : 331991734X |
In this new edition of the Handbook of Signal Processing Systems, many of the chapters from the previous editions have been updated, and several new chapters have been added. The new contributions include chapters on signal processing methods for light field displays, throughput analysis of dataflow graphs, modeling for reconfigurable signal processing systems, fast Fourier transform architectures, deep neural networks, programmable architectures for histogram of oriented gradients processing, high dynamic range video coding, system-on-chip architectures for data analytics, analysis of finite word-length effects in fixed-point systems, and models of architecture. There are more than 700 tables and illustrations; in this edition over 300 are in color. This new edition of the handbook is organized in three parts. Part I motivates representative applications that drive and apply state-of-the art methods for design and implementation of signal processing systems; Part II discusses architectures for implementing these applications; and Part III focuses on compilers, as well as models of computation and their associated design tools and methodologies.
| Author | : Haeseung Lee |
| Publisher | : |
| Total Pages | : 31 |
| Release | : 2013 |
| Genre | : Computer architecture |
| ISBN | : |
Stream computing has emerged as an importantmodel of computation for embedded system applications particularly in the multimedia and network processing domains. In recent past several programming languages and embedded multi-core processors have been proposed for streaming applications. This thesis examines the execution and dynamic scheduling of stream programs on embedded multi-core processors. The thesis addresses the problem in the context of a multi-tasking environment with a time varying allocation of processing elements for a particular streaming application. As a solution the thesis proposes a two step approach where the stream program is compiled to gather key application information, and to generate re-targetable code. A light weight dynamic scheduler incorporates the second stage of the approach. The dynamic scheduler utilizes the static information and available resources to assign or partition the application across the multi-core architecture. The objective of the dynamic scheduler is to maximize the throughput of the application, and it is sensitive to the resource (processing elements, scratch-pad memory, DMA bandwidth) constraints imposed by the target architecture. We evaluate the proposed approach by compiling and scheduling benchmark stream programs on a representative embedded multi-core processor. We present experimental results that evaluate the quality of the solutions generated by the proposed approach by comparisons with existing techniques.
| Author | : Sanaa Maali |
| Publisher | : LAP Lambert Academic Publishing |
| Total Pages | : 96 |
| Release | : 2012 |
| Genre | : |
| ISBN | : 9783659242311 |
Real-time systems are those systems in which the correctness of the system depends not only on the logical results of computation but also on time at which these results are produced. Real-time systems are gaining importance rapidly nowadays. It is widely used in many real-time applications such as power stations, nuclear reactors, space vehicles and airplanes. Real-time systems scheduling is a set of rules that determine which task should be executed at a particular time such that the time constraints of the tasks are satisfied. Scheduling multiprocessor real-time system is an active field of research .Its objective is to assign a set of n tasks to m processors while still meeting all deadlines. In almost cases, the optimal allocation of tasks to processors is NP-hard problem. This book Explain MMUF algorithm, apply it in multiprocessor systems and improve MMUF scheduling algorithm to use it for scheduling uniprocessor and multiprocessor real-time systems in order to get better processors utilization, reduce the number of failed tasks and reduce the number of context switches.
