computational threads from other processors. In this paper, we give the first provably good work-stealing scheduler for multithreaded computations with dependencies. Specifically, our analysis shows that the ezpected time Tp to execute a fully strict computation on P processors using our work-stealing scheduler

scheduling aimed at capturing some key aspects of energy minimization. In this model, each job is to be executed between its arrival time and deadline by a single processor with variable speed, under the assumption that energy usage per unit time, P, is a convex function of the processor speed s. We give

This report extends the current analysis associated with static priority pre-emptive based scheduling to address the wider problem of analysing schedulability of a distributed hard real-time system; in particular it derives analysis for a distributed system where tasks with arbitrary deadlines

The paper presents exact schedulability analyses for real-time systems scheduled at run-time with a static priority pre-emptive dispatcher. The tasks to be scheduled are allowed to experience internal blocking (from other tasks with which they share resources) and (with certain restrictions

this document.

this document.

Introduction The purpose of this lab is to give students a chance to practice the theories covered by lecturers and course literature. The assignments are preparations for solving the nal exam. 2 Notation We can illustrate a tasks timely behavior using a time line as in Figure 1, where the gray regions indicate that the task i is executing. We will use the following notation for describing tasks: a i T i d i f i C i D i i time f i a i Figure 1: Typical parameters of a real-time task T i is the period of task. For aperiodic tasks we use T i to denote the minimum inter-arrival time for task invocations. C i is the Worst Case Execution Time (WCET). D i is the rel

From high-level modelling of time in MARTE to realtime

original, uninstrumented behavior. Pin uses dynamic compilation to instrument executables while they are running. For efficiency, Pin uses several techniques, including inlining, register re-allocation, liveness analysis, and instruction scheduling to optimize instrumentation. This fully automated approach

of magnitude better than traditional backtracking techniques. We also describe a scheduling application where the approach has been used successfully. A theoretical analysis is presented both to explain why this method works well on certain types of problems and to predict when it is likely to be One