PPT-User-Level Interprocess Communication for Shared Memory Mul

Brian N Bershad Thomas E Anderson Edward D Lazowska and Henry M Levy Presented by Tim Fleck Interprocess Communication IPC UserLevel Remote Procedure Call URPC URPC Design Rational. Communication. CH4. HW: . Reading messages: . . User Agent (the user’s mail reading program) is either a client of the local file server or a client of a mail delivery server such as a POP or IMAP server. In the former case, the User Agent reads messages directly form the mailbox file in which they were placed during the message delivery. In the latter case, the User Agent requests information about the contents of the user’s mailbox file from a POP or IMAP server and receives messages from those servers for presentation to the user. POP and IMAP are protocols specifically designed to support mail access over wide areas and slow network connections, so a user can continue to access her home mailbox while travelling.. Shared memory. Process A. Process B. Physical Memory. Virtual address space A. Virtual address space B. Share. Share. Share. Instruction memory. Data. Instruction memory. Data. Create a shared memory region. : Rethinking the Multicore Memory Hierarchy. for Disciplined Parallelism. Byn Choi, Rakesh Komuravelli, . Hyojin Sung. , . Robert Smolinski, . Nima. . Honarmand. , . Sarita. V. Adve, . Vikram. S. Adve, Nicholas P. Carter, Ching-Tsun Chou. Pipelines rely on instruction flow as scheduled by the compiler (whether optimized or not). We could continue to fetch instructions as scheduled by the compiler, but we could use hardware to anticipate problems and dynamically schedule the instructions to the execution units (here, referred to as functional units). . Communication (IPC). Source:. George . Colouris. , Jean . Dollimore. , Tim . Kinderberg. & Gordon Blair (2012). Distributed Systems: Concepts & Design (5. th. Ed.). Essex: Addison-Wesley. Emil Persson. Head of Research, Avalanche Studios. Problem formulation. “Nowadays renowned industry luminaries include. shader snippets in their GDC presentations where trivial transforms would have resulted in a faster shader”. 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. Traditional Communication Model. Encoding. •. Argument . structure. •. Phrase structure. •. Word choice. •. Articulation plan. •. Articulation. •. Self awareness. •. Nonverbal . behavior. Pipelines rely on instruction flow as scheduled by the compiler (whether optimized or not). We could continue to fetch instructions as scheduled by the compiler, but we could use hardware to anticipate problems and dynamically schedule the instructions to the execution units (here, referred to as functional units). Hao. . Zheng. Comp . Sci. & . Eng. U of South Florida . 1. System Structural Model. 2. Bridge. HW. P5. HW. P3. P4. P1. P2. CPU. Mem. Arbiter. Basic Elements of . HW/SW . Interfaces. 3. Synchronization Schemes. Yao Wang, Andrew . Ferraiuolo. , G. Edward . Suh. Feb 17. th. 2014. Executive Summary. Observation:. Modern computing systems are vulnerable to . timing channel attacks. Problem: . No hardware techniques exist to eliminate timing channels through . Yu-Ting Chen. , . Young-. kyu. . Choi, Jason Cong, and . Bingjun. Xiao. Center. . for. . Domain-Specific. . Computing. Center for Future Architectures Research. Computer Science Department, UCLA. . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. Lecture 19. April . 4. th. , . 2012. Bus-Based Shared Memory (. Con’t. ). Distributed Shared Memory. Prof John D. Kubiatowicz. http://www.cs.berkeley.edu/~kubitron/cs252. Recall: Natural Extensions of Memory System.