PPT-Runtime System and Scheduling Support

for HighEnd CPUGPU Architectures Vignesh Ravi Dept of Computer Science and Engineering Advisor Gagan Agrawal 1 The Death of Singlecore CPU Scaling 2 The Landscape of Computing Moores Law. se Abstract Global 64257xedpriority scheduling of constrained deadline sporadic tasks systems is important not only for CPU scheduling but also in other domains for example scheduling realtime 64258ows in WirelessHART networks designed for industrial . . Ellidiss. Technologies, France . University of Brest/UBO, Lab-STICC/UMR 6285, France. . 2. /18. Talk overview. Cheddar project : context and motivations . Research . Roadmap. . 3. /17. About scheduling analysis and its use . Applications . Runtime . Behavior. from . System . Logs and Metrics. Raghul Gunasekaran, David . Dillow. , Galen Shipman. Oak Ridge National Laboratory. Richard . Vuduc. , Edmond Chow. Georgia Institute of Technology. -Ashish Singh. Introduction. History and Background. Linux Scheduling. Modification in Linux Scheduling. Results. Conclusion. References. Questions. History and Background. In 1991 Linus Torvalds took a college computer science course that used the Minix operating system. CS . 355. Operating Systems. Dr. Matthew Wright. Operating System Concepts. chapter 5. Basic Concepts. Process execution consists of a . cycle. of CPU execution and I/O . wait.. Typical CPU Burst Distribution. 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. Burst Buffer Enabled HPC Clusters. Chunxiao. Liao. 1. Background. High performance storage is critical to achieving computational efficiency on high performance computing (HPC) systems. . Capacity growth of disks continues to outpace increases in their bandwidth. tailED. distributions. Lang Tong. School of Electrical and Computer Engineering. Cornell University, Ithaca, NY 14850. Overview. Objective . Develop design principles and tools for job scheduling problems. 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. Tasks in Linux . (. SCHED_NORMAL/SCHED_OTHER. ). David Ferry, Chris Gill. CSE 422S - Operating Systems Organization. Washington University in St. Louis. St. Louis, MO 63143. 1. Traditional Scheduling Concerns. Load Balancing? . Failure? . Power Management?. My . s. ystem . s. oftware will solve these problems. System Software: It Slices, Dices, and makes Julienne Fries!. Coordinated checkpointing to the traditional parallel file system won’t scale. 1. Chapter 10. Multiprocessor and. Real-Time Scheduling. BYU CS 345. Chapter 10 - Multiprocessor and Read-Time Scheduling. 2. Classifications of Multiprocessors. Loosely coupled multiprocessor.. each processor has its own memory and I/O channels. Operating Systems:. Internals and Design Principles, 6/E. William Stallings. Patricia Roy. Manatee Community College, Venice, FL. ©2008, Prentice Hall. Aim of Scheduling. Assign processes to be executed by the processor(s). 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