Cover of: The efficient termination of Ada tasks in a multiprocessor environment. | Susan Flynn Hummel Read Online

The efficient termination of Ada tasks in a multiprocessor environment. by Susan Flynn Hummel

  • 378 Want to read
  • ·
  • 88 Currently reading

Published by Courant Institute of Mathematical Sciences, New York University in New York .
Written in English

Book details:

Edition Notes

StatementBy Susan Flynn, Edith Schonberg, Edmond Schonberg.
ContributionsSchonberg, Edith, Schonberg, Edmond
The Physical Object
Paginationv. p.
ID Numbers
Open LibraryOL17977325M

Download The efficient termination of Ada tasks in a multiprocessor environment.


The complexity of TASC algorithm (harmonic version), based on FFlD, is: O (2 T n T 1 n) where T 1 and T n are the smallest and the largest periods among tasks respectively, but it can be implemented in O (2 T n T 1 log (n)) using Self-Balancing Binary Search Trees. Non-harmonic tasks. The non-harmonic case is a more intractable problem than that of harmonic case because schedulability Cited by: 2. Consequently, assessing whether existing task splitting multiprocessor scheduling algorithms can be implemented with these constructs is paramount. In this paper we present a list of state-of-art task-splitting multiprocessor scheduling algorithms and, for each of them, we present detailed Ada code that uses the new by: 8. In this paper, we developed several efficient heuristic algorithms to schedule unit processing time multiprocessor tasks in a two-stage hybrid flow-shop for minimizing makespan. We also derived two effective lower bounds for the by: tempt to energy-efficient scheduling of parallel tasks on multiprocessor computers with dynamic voltage and speed. Our scheduling problems contain three nontriv-ial subproblems, namely, system partitioning, task scheduling, and power supply-ing. Each subproblem should Cited by:

multiprocessor systems are attempted in [18]. This paper presents software simulation and hardware implementation of job allocation and scheduling of real time tasks in multiprocessor application. The objective of the work is to. develop a power efficient temperature monitoring andFile Size: 1MB. In this paper, we propose two leakage-aware energy-efficient partitioning techniques named Suboptimal and Leakage-Aware Load Balancing (LALB) in multiprocessors. Suboptimal firstly determines the number of processors to minimize energy consumption and then assigns tasks : Masayoshi Takasu, Keigo Mizotani, Yusuke Kumura, Hiroyuki Chishiro, Nobuyuki Yamasaki. B. Multiprocessor Systems Dynamic slack reclamation based techniques: In [13][8], the authors propose techniques by which the dynamic slack is distributed among the remaining tasks. While the work in [8] does not consider precedence constraints among tasks, a list scheduling heuristic is used in [13] for tasks with precedence constraints. Furthermore, an effective real-time multiprocessor scheduling algorithm was presented by H. Alhussian et al. (). In this algorithm the fairness rule was relaxed to preclude the massive number.

An efficient and deterministic multi-tasking run-time environment for Ada and the Ravenscar profile on the Atmel AVR R 32 UC3 microcontroller Kristoffer Nyborg Gregertsen Dept. of Engineering Cybernetics NTNU, Norway Tasks types and objects defined at library level. The execution of an Ada program consists of the execution of one or more tasks. Each task represents a separate thread of control that proceeds independently and concurrently between the points. Beyond Ada Allocating Tasks to Processors in SMP Systems A.J. Wellings and A. Burns Department of Computer Science Universityof York, UK {andy,burns}@ Abstract Ada has addedno new facilities to support applica-tions that want to run on multiprocessor systems. Following the example set by the language facilitates. multiprocessor scheduling has been a source of challenging problems for researchers in the area of computer engineering. The general problem of multiprocessor scheduling can be stated as scheduling a set of partially ordered computational tasks onto a multiprocessor system so that a set of performance criteria will be optimized.