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SimPy is a process-based discrete-event simulation framework based on standard Python. [25] Simula: Simula: Language June 1, 1967: A programming language designed specifically for simulation. SystemC: C++: Library November 15, 2018 (v2.3.3) [26] Apache 2.0: A set of C++ classes and macros which provide an event-driven simulation kernel.
The algorithm can function with any pipeline architecture and thus software requires few architecture-specific modifications. [3]: 183 Many modern processors implement dynamic scheduling schemes that are variants of Tomasulo's original algorithm, including popular Intel x86-64 chips. [5] [failed verification] [6]
Several scheduling algorithms for dynamically multithreaded computations compete with work stealing. Besides the traditional work sharing approach, there is a scheduler called parallel depth-first (PDF) that improves on the space bounds of work stealing, [ 18 ] as well giving better performance in some situations where the cores of a chip ...
Dynamic priority scheduling is a type of scheduling algorithm in which the priorities are calculated during the execution of the system. The goal of dynamic priority scheduling is to adapt to dynamically changing progress and to form an optimal configuration in a self-sustained manner.
Earliest deadline first (EDF) or least time to go is a dynamic priority scheduling algorithm used in real-time operating systems to place processes in a priority queue. Whenever a scheduling event occurs (task finishes, new task released, etc.) the queue will be searched for the process closest to its deadline.
Least slack time (LST) scheduling is an algorithm for dynamic priority scheduling. It assigns priorities to processes based on their slack time. Slack time is the amount of time left after a job if the job was started now. This algorithm is also known as least laxity first.
But in complex situations it can easily fail to find the optimal scheduling. HEFT is essentially a greedy algorithm and incapable of making short-term sacrifices for long term benefits. Some improved algorithms based on HEFT look ahead to better estimate the quality of a scheduling decision can be used to trade run-time for scheduling performance.
In the airline industry a major problem is the scheduling of the flight crews. The airline scheduling problem can be considered as an application of extended maximum network flow. The input of this problem is a set of flights F which contains the information about where and when each flight departs and arrives. In one version of airline ...