A Stream-Oriented Component Model for Performance Analysis of Multiprocessor DSPs
نویسندگان
چکیده
This paper introduces a composable component model which can be used for performance analysis of complex DSP systems consisting of several computation resources communicating via some shared media. We review different methods to analyze the performance of such communication-centric systems — these include simulation, trace-based simulation and symbolic methods. Finally, a component model that can be used to formally state the relationship between the usage and the processing capabilities of different computation and communication resources is established. Using this component model, we can analytically derive performance measures of complete DSP systems. We illustrate the applicability of this component model with an example.
منابع مشابه
Assessment of Cost Effectiveness of a Firm Using Multiple Cost Oriented DEA and Validation with MPSS based DEA
Data Envelopment Analysis (DEA) is a nonparametric tool for discriminating the best performers from a number of homogenous Decision Making Units (DMU). Cost oriented DEA models identify those best DMUs which run cost efficient process. This paper validates the outcome derived from the Ideal Frontier (mentioned in Sarkar. S (2014)) derived from non-central Principal Component Analysis and a slac...
متن کاملPerformance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks
Routing is one of the basic parts of a message passing multiprocessor system. The routing procedure has a great impact on the efficiency of a system. Neural algorithms that are currently in use for computer networks require a large number of neurons. If a specific topology of a multiprocessor network is considered, the number of neurons can be reduced. In this paper a new recurrent neural ne...
متن کاملRIoTBench: An IoT benchmark for distributed stream processing systems
The Internet of Things (IoT) is an emerging technology paradigm where millions of sensors and actuators help monitor and manage, physical, environmental and human systems in real-time. The inherent closedloop responsiveness and decision making of IoT applications make them ideal candidates for using low latency and scalable stream processing platforms. Distributed Stream Processing Systems (DSP...
متن کاملA Hybrid model based on neural network and Data Envelopment Analysis model for Evaluation of unit Performance
Efficiency and evaluation is one of the main and most important demands of organizations, companies and institutions. As these organizations deal with a large amount of data, therefore, it is necessary to evaluate them on the basis of scientific methods to improve their efficiency. Data envelopment analysis is a suitable method for measuring the efficiency and performance of organizations. This...
متن کاملA Multiprocessor System with Non-Preemptive Earliest-Deadline-First Scheduling Policy: A Performability Study
This paper introduces an analytical method for approximating the performability of a firm realtime system modeled by a multi-server queue. The service discipline in the queue is earliestdeadline- first (EDF), which is an optimal scheduling algorithm. Real-time jobs with exponentially distributed relative deadlines arrive according to a Poisson process. All jobs have deadlines until the end of s...
متن کامل