PPT-Preemptive Scheduling and

Mutual Exclusion with Hardware Support Thomas Plagemann With slides from Otto J Anshus amp Tore Larsen University of Tromsø and Kai Li Princeton University Preemptive Scheduling. edu Matthew Caesar UIUC caesarillinoisedu P Brighten Godfrey UIUC pbgillinoisedu ABSTRACT Todays data centers face extreme challenges in providing low latency However fair sharing a principle commonly adopted in current congestion control protocols i Earliest Deadline . First . Feasibility of Sporadic . Real-time Tasks. Abhilash Thekkilakattil. , Sanjoy Baruah, Radu Dobrin and Sasikumar Punnekkat. Motivation. Multi (-core) processors in real-time systems complicate the problems associated with fully preemptive schedulers. Mutual Exclusion with Hardware Support. Thomas Plagemann. With slides from. Otto J. Anshus & Tore Larsen. (University of Tromsø). and Kai Li. (. Princeton University. ). Overview. Interrupts:. Main-Memory Workloads. Iraklis. . Psaroudakis. (EPFL). , Tobias Scheuer (SAP AG), Norman May (SAP AG), Anastasia Ailamaki (EPFL). 1. Scheduling for high concurrency. 2. Queries >> H/W contexts. OVERVIEW. Room Scheduling System. (How to find a GPC and schedule it!). Review . Policies. Login to . Room Scheduling System. Learn . 3 . types of searches. Demonstration . Tips. Q&A. Agenda. Sara Cheatham • Stephanie Gonzales • Michael Lee . An Integrated Approach to Architecture and Operating Systems. Chapter 6. Processor Scheduling. ©Copyright 2009Umakishore Ramachandran and William D. Leahy Jr.. 6.1 Introduction. Things to Do. Laundry. Adwait Jog. , Onur Kayiran, Asit Mishra, Mahmut Kandemir, Onur Mutlu, Ravi Iyer, Chita Das . Multi-threading. Caching. Prefetching . Main Memory. . Improve. . Replacement . Policies. Parallelize your code!. 1. 5.1 Basic Concepts. The . goal of multi-programming is to maximize the utilization of the CPU as a system resource by having a process running on it at all . times. Supporting multi-programming means encoding the ability in the O/S to switch between currently running jobs. Kecheng. Yang. James H. Anderson. Dept. of Computer Science. UNC-Chapel Hill. Tardiness Bounds . for Global EDF Scheduling on a Uniform Multiprocessor. Kecheng. Yang. James H. Anderson. Dept. of Computer Science. Systems . Peter Reiher. . Outline. What is scheduling?. What are our scheduling goals?. What resources should we schedule?. Example scheduling algorithms and their implications. What Is Scheduling?. (CS 202). Scheduling (1). Jan, 18, 2019. Administrivia. Lab has been released. You may work in pairs. Some more details about how to test your implementation may be added. But feel free to come up with your own. TheNatureofProgramExecutionsArunningthreadcanbemodeledasalternatingseriesofCPUburstsandI/Obursts Journal of Industrial and Systems Engineering Vol 10 Special issue on healthcare pp 97-115 Winter January 2017hospitals Hiring more personnel providing more equipment and beds and similar solutions ar WHAT IS THE SCHEDULING GRID?. Used to schedule classes according to fixed patterns. Regular patterns help with room usage and ease of student course scheduling. Built into our scheduling software (IMS, CSS, and .