PPT-1 Better Scalable Algorithms for Broadcast Scheduling
Author : liane-varnes | Published Date : 2016-04-23
Ravishankar Krishnaswamy Carnegie Mellon University Joint work with Nikhil Bansal and Viswanath Nagarajan IBM T J Watson Research Lab Outline Motivation Problem
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1 Better Scalable Algorithms for Broadcast Scheduling: Transcript
Ravishankar Krishnaswamy Carnegie Mellon University Joint work with Nikhil Bansal and Viswanath Nagarajan IBM T J Watson Research Lab Outline Motivation Problem Definition. We describe algorithms for sche duling and path computa tions needed for dedicated bandwidth connections for 64257xed slot highest available band width in a given slot 64257rst available slot and allavailabl e slots computations These algorithms for New Perspectives and Results . Chandra . Chekuri. University of Illinois. Online Broadcast Scheduling . New Perspectives and Results . Chandra . Chekuri. University of Illinois. Ben Moseley. Sungjin Im. Shouling. . Ji. and . Raheem. . Beyah. CAP group, School of Electrical and Computer Engineering. Georgia Institute of Technology. Zhipeng. . Cai. . Department of Computer Science. Georgia State . 373. An . Introduction to Real Time Systems. Chunks adapted from work by. Dr. Fred . Kuhns. of Washington University. and . Farhan. . Hormasji. What is a Real-Time System?. Real-time systems have been defined as: . WirelessHART. Networks. by. Abusayeed. . Saifullah. , You Xu, . Chenyang. Lu, and . Yixin. Chen. A Presentation of Findings for CSE5095. Joshua . Ivaldi. Dept of Electrical and Computer Engineering. Laurent . Massouli. é & . Fabien Mathieu. laurent.massoulie@inria.fr. & . fabien.mathieu@inria.fr. . The . “Code Red. ” Internet Worm. Epid. e. mics. . & rumours. Propagate fast. Gokarna Sharma. (A joint work with . Costas Busch. ). Louisiana State University. Agenda. Introduction and Motivation. Scheduling Bounds in Different Software Transactional Memory Implementations. Tightly-Coupled Shared Memory Systems. Anirudh . Sivaraman. , . Suvinay. Subramanian, . Anurag. Agrawal, . Sharad. . Chole. , Shang-. Tse. Chuang, Tom . Edsall. , Mohammad . Alizadeh. , . Sachin. . Katti. , Nick . McKeown. , . Hari. . 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. PhD Dissertation Defense. Nathan Brunelle. July 31, 2017. 1. Video of this presentation viewable at . https://. www.youtube.com/watch?v=GP2rmOz3ebI. Dissertation PDF: . http://www.cs.virginia.edu/~. njb2b/Brunelle_phdDissertation_UVACS_2017.pdf. OPERATING SYSTEMS. SCHEDULING. 5: CPU-Scheduling. 2. What Is In This Chapter?. This chapter is about how to get a process attached to a processor.. It centers around efficient algorithms that perform well.. Dr. Bjarne Berg. Comerit Inc.. 2. What We’ll Cover. Overview. The Broadcast Wizard. Scheduling by PowerUsers via BEx Broadcaster. Broadcasting to the Portal. Broadcaster Advanced Options. How to make it work in practice. Problem. What is it?. Implementation. Benefits. Experimentation. Findings. Other Scheduling Algorithms. Conclusion. . Outline. Problem. “Scheduling computations in multi-threaded systems is complex, and challenging problem.”. Fall 2019. Programmable Scheduling. Scheduling in switch pipelines. Packets wait in buffers/queues until serviced. Two possibilities: . Input-queued. vs. . output-queued. Suppose there are pkts on port 1 to both 2 and 3.
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