'Fifo queue' diaporamas de présentation

Computing with Concurrent Objects

1.27k views • 110 slides

Princess Nora University Artificial Intelligence

Princess Nora University Artificial Intelligence. Chapter (3) Solving problems by searching. Out Line :. Problem-solving agents Problem types Problem formulation Example problems Basic search algorithms. Solving problems by searching.

839 views • 66 slides

CS460 Spring 2011

CS460 Spring 2011. Lecture 2. Review. AI definition: rational agent [ f : P* ? A ] Agent Model: PEAS Environment Types Agent Types Vacuum cleaner world. Environment types. Chess with Chess without Taxi driving a clock a clock Fully observable Yes Yes No

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Enabling High-level SLOs on Shared Storage

Cake. Enabling High-level SLOs on Shared Storage. Andrew Wang, Shivaram Venkataraman, Sara Alspaugh, Randy Katz, Ion Stoica. Trend toward consolidation of front-end and back-end storage systems. Front-end. Backend. Data. Users. Analysis. Front-end. Backend. Minutes to hours. forever.

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Uninformed Search (AIMA, Sections 3.3-3.4)

Introduction to Artificial Intelligence. Uninformed Search (AIMA, Sections 3.3-3.4). Alan M Frisch, Dimitar Kazakov kazakov@cs.york.ac.uk Department of Computer Science University of York. Outline for this Topic (2 lectures). What is search? What is uninformed search?

804 views • 61 slides

What Can Be Implemented Anonymously ?

What Can Be Implemented Anonymously ?. Paper by Rachid Guerraui and Eric Ruppert. Presentation by Amir Anter. Talk outline. What is anonymously ? Motivation Anonymously implementation Counter Snapshot Consensus Summary. Talk outline. What is anonymously ?

668 views • 57 slides

Breadth First Search

Breadth First Search. -. C. D. A. B. E. F. G. H. I. front. FIFO Queue. Breadth First Search. -. C. D. A. B. E. F. G. H. I. enqueue source node. A. front. FIFO Queue. Breadth First Search. -. C. D. A. B. E. F. G. H. I. dequeue next vertex. A. front.

607 views • 50 slides

Solving problems by searching

Solving problems by searching. Chapter 3. Outline. Problem-solving agents Problem types Problem formulation Example problems Basic search algorithms. Example: vacuum world. Single-state , start in #5. Solution?. Example: vacuum world.

542 views • 45 slides

Operating Systems

Operating Systems. Certificate Program in Software Development CSE-TC and CSIM, AIT September -- November, 2003. Objectives examine and compare some of the common CPU scheduling algorithms. 7. CPU Scheduling (Ch. 5, S&G). ch 6 in the 6th ed. Contents. 1. CPU Scheduling

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DANBI: Dynamic Scheduling of Irregular Stream Programs for Many-Core Systems

DANBI: Dynamic Scheduling of Irregular Stream Programs for Many-Core Systems. Changwoo Min and Young Ik Eom Sungkyunkwan University, Korea. DANBI is a Korean word meaning timely rain . What does Multi-Cores mean to Average Programmers?.

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EE 319K Introduction to Embedded Systems

EE 319K Introduction to Embedded Systems. Lecture 8: Serial Communication (UART), FIFO Queues. Agenda. Communication Serial: UART, interrupts FIFO Queues used as buffers in communication Lab 8: Distributing Lab 7 Transmitter uses ADC to read potentiometer

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Dynamic-CBT and ChIPS - Router Support for Improved Multimedia Performance on the Internet

Dynamic-CBT and ChIPS - Router Support for Improved Multimedia Performance on the Internet. Jae Chung and Mark Claypool Department of Computer Science WPI. In Proceedings of ACM Multimedia November 2000. The Internet and Multimedia. Internet routers are best effort No timing constraints

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CSCE 668 DISTRIBUTED ALGORITHMS AND SYSTEMS

CSCE 668 DISTRIBUTED ALGORITHMS AND SYSTEMS. Fall 2011 Prof. Jennifer Welch. Data Types Beyond Registers. Registers support the operations read and write We've seen wait-free simulations of one kind of register out of another kind different numbers of values, readers, writers

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A System Solution for High- Performance, Low Power SDR

A System Solution for High- Performance, Low Power SDR. Yuan Lin 1 , Hyunseok Lee 1 , Yoav Harel 1 , Mark Woh 1 , Scott Mahlke 1 , Trevor Mudge 1 and Krisztian Flautner 2 1 Advanced Computer Architecture Laboratory University of Michigan 2 ARM, Ltd. SDR Design Challenges:.

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Curbing Delays in Datacenters: Need Time to Save Time?

Curbing Delays in Datacenters: Need Time to Save Time?. Mohammad Alizadeh Sachin Katti , Balaji Prabhakar Insieme Networks Stanford University . Window-based rate control schemes (e.g., TCP) do not work at near zero round-trip latency . Datacenter Networks.

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Vanderbilt University Mass Spectrometry Core Services

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Department of Computer Science Southern Illinois University Edwardsville Spring, 2010

Inter-Process Communication (IPC). CS 547/490 Network Programming. Department of Computer Science Southern Illinois University Edwardsville Spring, 2010 Dr. Hiroshi Fujinoki E-mail: hfujino@siue.edu. IPC1.PPT/001. Address Space for A. IPC. Process A. Process B. Computer.

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Clock Skewing

Clock Skewing. EECS 290A Sequential Logic Synthesis and Verification. Outline. Motivation Graphs Algorithms for the shortest path computation Dijkstra and Bellman-Ford Optimum cycle ratio computation Howard algorithm ASAP and ALAP skews Clock skew as the shortest path

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Competitive Queueing Policies for QoS Switches

Competitive Queueing Policies for QoS Switches. Nir Andelman Yishay Mansour An Zhu TAU TAU Stanford. Outline. Motivation Model description Summary of Previous and new results Non-preemptive queue Two packet types Multiple packet types Preemptive queue lower bound

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Linear and Branching Time Safety, Liveness, and Fairness

Linear and Branching Time Safety, Liveness, and Fairness. Lam Quoc Dang FAdCo T-79.5306 Reactive Systems. Contents. Linear and Branching Time General Overview Linear Time Branching Time Safety, Liveness, and Fairness Safety Property Liveness Property Fairness Assumption.

289 views • 14 slides