PPT-Synchronization with shared memory

AMANO Hideharu Textbook pp6068 Forkjoin Starting and finishing parallel processes fork Usually these processes threads can share variables fork join join ForkJoin is a way of synchronization. wait Bi l s gna C lock acquire D lock release E signalAll Hoare monitor semantics Assume thread T1 is waiting on condition Assume thread T2 is in the monitor Assume thread T2 calls x signal T2 ives u monitor T2 blocks gp T1 takes over monitor run 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. Hakim Weatherspoon. CS 3410, Spring 2013. Computer Science. Cornell University. P&H Chapter . 2.11 and 5.8. Big Picture: Parallelism and Synchronization. How do I take advantage of multiple processors; . Michael Bauer (NVIDIA Research). Alex Aiken (Stanford). Verification of Producer-Consumer Synchronization in GPU Programs. June 15, 2015. Rahul Sharma. . Michael Bauer . Outline. GPU background. Michael Bauer (NVIDIA Research). Alex Aiken (Stanford). Verification of Producer-Consumer Synchronization in GPU Programs. June 15, 2015. Rahul Sharma. . Michael Bauer . Outline. GPU background. Hakim Weatherspoon. CS 3410, Spring 2013. Computer Science. Cornell University. P&H Chapter 2.11 and 5.8. Big Picture: Parallelism and Synchronization. How do I take advantage of multiple processors; . Hakim Weatherspoon. CS 3410, Spring 2015. Computer Science. Cornell University. P&H Chapter 2.11, 5.10,. and 6.5. Announcements. HW2 Review Sessions!. TODAY, Tue, . April 21st. , . Hollister B14@7pm. 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 . Multicore. Programming. Brendan Lynch. Introduction. Synchronization techniques. l. ocks, barriers, non-blocking approaches, atomic primitives. Concurrent memory paradigms. s. hared memory, . d. istributed memory. Dr. Yanqing Zhang. Agenda. Overview. Synchronization Techniques. WebDAV(Web Distributed Authoring and Versioning). Future Work. References. What is Synchronization?. In general it is . process of precisely coordinating or matching two or more activities, devices, or processes in time.. Profiling, AWS Cluster. Synchronization. Ideal case for parallelism: . no resources shared between threads. no communication between threads. . Many algorithms that require just a little bit of resource sharing can still be accelerated by massive parallelism of GPU. Hagersten. , . Landin. , and . Haridi. (1991). Presented by Patrick . Eibl. Outline. Basics of Cache-Only Memory Architectures. The Data Diffusion Machine (DDM). DDM Coherence Protocol. Examples of Replacement, Reading, Writing. 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. Lecture 21. April . 11. th. , . 2012. Distributed Shared Memory (. con’t. ). Synchronization. Prof John D. Kubiatowicz. http://www.cs.berkeley.edu/~kubitron/cs252. Recall: Sequential Consistency of Directory Protocols.