PPT-1 Parallel and Multiprocessor Architectures – Shared Memory

Recall Microprocessors are classified by how memory is organized Tightlycoupled multiprocessor systems use the same memory They are also referred to as shared memory multiprocessors The processors do not necessarily have to share the same block of physical memory . Avg Access Time 2 Tokens Number of Controllers Average Access Time clock cyles brPage 16br Number of Tokens vs Avg Access Time 9 Controllers Number of Tokens Average Access Time clock cycles brPage 17br brPage 18br Unlike sequential algorithms parallel algorithms cannot be analyzed very well in isolation One of our primary measures of goodness of a parallel system will be its scalability Scalability is the ability of a parallel system to take advantage of incr Companion slides for. The Art of Multiprocessor Programming. by Maurice Herlihy & Nir Shavit. Art of Multiprocessor Programming. 2. Focus so far: Correctness and Progress. Models. Accurate . (we never lied to you). CS448. 2. What is Cache Coherence?. Two processors can have two different values for the same memory location. Write Through Cache. 3. Terminology. Coherence. Defines what values can be returned by a read. Håkon Kvale . Stensland. iAD-lab, Department for Informatics. Basic 3D Graphics Pipeline. Application. Scene Management. Geometry. Rasterization. Pixel Processing. ROP/FBI/Display. Frame. Buffer. Memory. Jost Berthold. Simon Marlow. Abyd Al Zain. Kevin Hammond. The Parallel Haskell Landscape. research into parallelism using Haskell has been ongoing since the late 1980s. semi-implicit, deterministic programming model: . Chapter 12: Multiprocessor Architectures Schaum What is Multiprocessing?. Enables several programs to run concurrently. Coordinated processing of Programs by more than one processor. Use of 2 or more CPUs within a single computer system. Ability of a system to support more than one processor and to allocate tasks between them. Companion slides for. The Art of Multiprocessor Programming. by Maurice Herlihy & Nir Shavit. Art of Multiprocessor Programming. 2. Focus so far: Correctness and Progress. Models. Accurate . (we never lied to you). Dr Susan Cartwright. Dept of Physics and Astronomy. University of Sheffield. Parallel Universes. Are you unique?. Could there be another “you” differing only in what you had for breakfast this morning?. 2. Mutual Exclusion. We will clarify our understanding of mutual exclusion. We will also show you how to reason about various properties in an asynchronous concurrent setting. Art of Multiprocessor Programming. 2. Chapter 9 Objectives. Learn the properties that often distinguish RISC from CISC architectures.. Understand how multiprocessor architectures are classified.. Appreciate the factors that create complexity in multiprocessor systems.. modelS. CS 5802 . Monica Borra. Overview. Types of parallel programming models. Shared memory Model. OpenMP. POSIX Threads. Cilk. /. Cilk. Plus/. Cilk. Plus . Plus. Thread Building Blocks. Types of Parallel Programming Models:. Companion slides for. The Art of Multiprocessor Programming. by Maurice Herlihy & Nir Shavit. Art of Multiprocessor Programming. 2. 2. The Five-Fold Path. Coarse-grained locking. Fine-grained locking.