Performance Analysis Task Out of Order by Prasath Arun (4 results)

Taschenbuch. Condition: Neu. Neuware -The inter-subsystem communication structure can be optimized at the beginning of the design process by using simulation models at three different abstraction levels. Some design loop cases can be avoided by using this exploration method. With the Motion-JPEG case study, and illustrate the whole communication exploration process step by step. From experimental results, it show that compared with the cycle accurate simulation, the inter subsystem communication can be well optimized and evaluated at higher abstraction levels. In this project, a solution for a classification problem that is used for optimized packet assignment to different data paths within a network processor System-on-Chip (SoC). Based on a specification of the usage case for our classifier it derive Heterogeneous Decision Graph Algorithm (HDGA), a heuristic approach to construct a decision tree classifier that integrates external lookup results for certain types of rules. Evaluated various parameters for optimizing the proposed decision tree and present simulation results to show the scalability of HDGA for typical problem sizes. This project is concluded with the results of an implementation on our FPGA Platform.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The inter-subsystem communication structure can be optimized at the beginning of the design process by using simulation models at three different abstraction levels. Some design loop cases can be avoided by using this exploration method. With the Motion-JPEG case study, and illustrate the whole communication exploration process step by step. From experimental results, it show that compared with the cycle accurate simulation, the inter subsystem communication can be well optimized and evaluated at higher abstraction levels. In this project, a solution for a classification problem that is used for optimized packet assignment to different data paths within a network processor System-on-Chip (SoC). Based on a specification of the usage case for our classifier it derive Heterogeneous Decision Graph Algorithm (HDGA), a heuristic approach to construct a decision tree classifier that integrates external lookup results for certain types of rules. Evaluated various parameters for optimizing the proposed decision tree and present simulation results to show the scalability of HDGA for typical problem sizes. This project is concluded with the results of an implementation on our FPGA Platform. 76 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Prasath R ArunR. Arun Prasath, Faculty in the Department of Electronics and Communication Engineering at Anna University Regional Campus-Madurai. Current pursuing his Ph.D. under faculty of Information and Communication Engineering. .

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The inter-subsystem communication structure can be optimized at the beginning of the design process by using simulation models at three different abstraction levels. Some design loop cases can be avoided by using this exploration method. With the Motion-JPEG case study, and illustrate the whole communication exploration process step by step. From experimental results, it show that compared with the cycle accurate simulation, the inter subsystem communication can be well optimized and evaluated at higher abstraction levels. In this project, a solution for a classification problem that is used for optimized packet assignment to different data paths within a network processor System-on-Chip (SoC). Based on a specification of the usage case for our classifier it derive Heterogeneous Decision Graph Algorithm (HDGA), a heuristic approach to construct a decision tree classifier that integrates external lookup results for certain types of rules. Evaluated various parameters for optimizing the proposed decision tree and present simulation results to show the scalability of HDGA for typical problem sizes. This project is concluded with the results of an implementation on our FPGA Platform.