'Memory consistency' diaporamas de présentation

Topic 4

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High Performance Computing: Concepts, Methods & Means Parallel Threads Computing

High Performance Computing: Concepts, Methods & Means Parallel Threads Computing. Prof. Thomas Sterling Department of Computer Science Louisiana State University February 6 th , 2007. Topics. Introduction Performance: CPI and memory behavior Overview of threaded execution model

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Examples of shared memory systems

SRC Task 1031.001 Verification of Shared Memory Consistency (Models and) Protocols Start Date : September 2002 Third Year Annual Review, Boulder CO, March 29, 2005 Ganesh Gopalakrishnan (PI) Konrad Slind (Co-PI ). Examples of shared memory systems. ASCI-White:. (Photo courtesy LLNL / IBM).

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Performance of memory reclamation for lockless synchronization

Performance of memory reclamation for lockless synchronization. By Thomas E. Hart, Paul E. McKenney, Angela Demke Brown, Jonathan Walpole Handwaved about by Jim Cotillier. The Problem. Why not just stick with classical locks? Performance issues (blocking) CAS-class instruction overhead

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CPU0. CPU1. CPU2. CPU3. Read/ Write. Shared Memory. Symmetric Multi-Processor (SMP):. Distributed Shared Memory (DSM):. CPU0. CPU1. CPU2. CPU3. CPU0. CPU1. CPU2. CPU3. Read/ Write. Local Cache. Local Cache. Local Cache. Local Cache. Local Memory Module. Local Memory

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CPU0. CPU1. CPU2. CPU3. Read/ Write. Shared Memory. Symmetric Multi-Processor (SMP):. Distributed Shared Memory (DSM):. CPU0. CPU1. CPU2. CPU3. CPU0. CPU1. CPU2. CPU3. Read/ Write. Local Cache. Local Cache. Local Cache. Local Cache. Local Memory Module. Local Memory

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Real Time System

Real Time System. Multitasking. Layers of abstraction for concurrency in programs. E.g. Furnace Control. Three task Furnace Heater Control Set Threshold Temperature Refresh Display with current temperature Single execution thread Multiple threads of execution. Multitasking.

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The Cache-Coherence Problem

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Memory Consistency Models

Memory Consistency Models. Adve, Pai, and Ranganathan. Recent advances in memory consistency models for hardware shared-memory systems, 1999. Gniady, Falsafi, and Vijaykumar . Is SC+ILP=RC? , 1999. Hill. Multiprocessors should support simple memory consistency models , 1998.

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Exploring Memory Consistency for Massively Threaded Throughput-Oriented Processors

Exploring Memory Consistency for Massively Threaded Throughput-Oriented Processors. Blake Hechtman Daniel J. Sorin. Executive Summary. Massively Threaded Throughput-Oriented Processors (MTTOPs) like GPUs are being integrated on chips with CPUs and being used for general purpose programming

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CS 162 Memory Consistency Models

CS 162 Memory Consistency Models. Reordering in Uniprocessors. Memory operations are reordered to improve performance Hardware ( e.g. , store buffer, reorder buffer) Compiler ( e.g. , code motion, caching value in register) Behave the same as long as dependences are respected. ≡. a1: St x

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The Mach System

The Mach System. "Operating Systems Concepts, Sixth Edition" by Abraham Silberschatz, Peter Baer Galvin, and Greg Gagne Presented by Abdelhalim Ragab Portland State University CS533 Concepts of Operating Systems. Microkernel vs. Monolithic Systems.

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Superscalar Pipelines

Superscalar Pipelines. Erik Feineis Chris Ielmoni Talal Abdulhaq. Overview. Limitations 1. Problem with Rigid Scalar Pipelines 2. From Scalar to Superscalar Pipelines Organization 1. Parallel 2. Diversified 3. Dynamic Design 1. Instruction Fetching 2. Instruction Decoding

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Ch4. Multiprocessors & Thread-Level Parallelism 4. Syn ( Syn chronization & Memory Consistency)

ECE Department University of Massachusetts Dartmouth 285 Old Westport Rd. North Dartmouth, MA 02747-2300. Ch4. Multiprocessors & Thread-Level Parallelism 4. Syn ( Syn chronization & Memory Consistency). ECE562/468 Advanced Computer Architecture Prof. Honggang Wang.

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Lecture 5 Approaches to Concurrency: The Multiprocessor

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Lecture 5 Approaches to Concurrency: The Multiprocessor

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Cache Coherence in Shared Memory Multiprocessors

Cache Coherence in Shared Memory Multiprocessors. Chinmay Ashok. An Introduction to The Problem. Caches allow greater performance by storing frequently used data in faster memory (closer to the processor)

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