'Global address space' presentation slideshows

Introduction to the Partitioned Global Address Space (PGAS) Programming Model

Introduction to the Partitioned Global Address Space (PGAS) Programming Model. David E. Hudak, Ph.D. Program Director for HPC Engineering dhudak@osc.edu. Overview. Module 1: PGAS Fundamentals Module 2: UPC Module 3: pMATLAB Module 4: Asynchronous PGAS and X10 .

1.04k views • 79 slides

Titanium: A Java Dialect for High Performance Computing

Titanium: A Java Dialect for High Performance Computing. Dan Bonachea. U.C. Berkeley and LBNL http://titanium.cs.berkeley.edu. (slides courtesy of Kathy Yelick). Susan Graham Katherine Yelick Paul Hilfinger Phillip Colella (LBNL) Alex Aiken Greg Balls Andrew Begel Dan Bonachea

922 views • 75 slides

High Performance Computing Research at Berkeley

High Performance Computing Research at Berkeley. Katherine Yelick U. C. Berkeley, EECS Dept. and Lawrence Berkeley National Laboratory November 2004. Major Research Areas in HPC at Berkeley. Programming Languages & Compilers Performance Analysis, Modeling, Tuning Algorithms & Libraries

557 views • 55 slides

CS 267: Introduction to Parallel Machines and Programming Models

CS 267: Introduction to Parallel Machines and Programming Models. James Demmel demmel@cs.berkeley.edu www.cs.berkeley.edu/~demmel/cs267_Spr06. Outline. Overview of parallel machines (~hardware) and programming models (~software) Shared memory Shared address space Message passing

484 views • 48 slides

Multithreaded Algorithms for Graph Coloring

552 views • 37 slides

Virtual Memory March 23, 2000

468 views • 34 slides

Object-Based Distributed Shared Memory

Object-Based Distributed Shared Memory. Arnshea Clayton CSC 8320 Advanced Operating Systems. Overview. Objects defined. Object-based memory organization. Design considerations. Advantages vs. Disadvantages. Implementation: Linda Implementation: Orca Implementation: Enterprise JavaBeans

344 views • 31 slides

Steven Seidel Department of Computer Science Michigan Technological University steve@mtu.edu

U. P. C. collective functions. Steven Seidel Department of Computer Science Michigan Technological University steve@mtu.edu. Overview. Background Collective operations in the UPC language The V1.0 UPC collectives specification Relocalization operations Computational operations

405 views • 30 slides

Lecture 2 Parallel Programming Platforms

Lecture 2 Parallel Programming Platforms. Parallel Computing Fall 2012. Implicit Parallelism: Trends in Microprocessor Architectures . Microprocessor clock speeds have posted impressive gains over the past two decades (two to three orders of magnitude).

734 views • 26 slides

What does it take to define an architecture? (Part 2)

What does it take to define an architecture? (Part 2). David D. Clark July, 2012. Describing an architecture. IETF has published over 6630 RFCs . Too much, for sure. A CCR paper proposed a minimalist answer in 6 pages*. Enough?

296 views • 18 slides

Martyn F Guest, Huub van Dam and Paul Sherwood CCLRC Daresbury Laboratory

MSc in High Performance Computing Computational Chemistry Module Lecture 8 Introducing One-sided Communications. Martyn F Guest, Huub van Dam and Paul Sherwood CCLRC Daresbury Laboratory p.sherwood@daresbury.ac.uk. Outline of the Lecture. One sided vs two sided communication strategies

317 views • 18 slides

Introduction to MIMD architectures

Introduction to MIMD architectures. {Multi-processor} {Multi-computer} 15.1 Architectural concepts 15.2 Problems of scalable computers 15.3 Main design issues of scalable MIMD computers. TECH Computer Science. CH01. Multi-computer: Structure of Distributed Memory MIMD Architectures.

575 views • 12 slides

Effects of Virtual Cache Aliasing on the Performance of the NetBSD Operating System

Effects of Virtual Cache Aliasing on the Performance of the NetBSD Operating System. Rafal Boni CS 535 Project Presentation. Background and motivation. Why NetBSD? Runs on > 10 CPU families, > 45 different platforms all from one code base.

313 views • 12 slides

Center for Programming Models for Scalable Parallel Computing: Project Meeting Report

Libraries, Languages, and Execution Models for Terascale Applications www.pmodels.org William D. Gropp www.mcs.anl.gov/~gropp Argonne National Laboratory. Center for Programming Models for Scalable Parallel Computing: Project Meeting Report. Participants. Coordinating Principal Investigator:

371 views • 10 slides

HPPNET: A Novel Network for HPC and Its Implication for Communication Software

257 views • 10 slides

Satisfying Data-Intensive Queries Using GPU Clusters

Satisfying Data-Intensive Queries Using GPU Clusters. Haicheng Wu, Jeff Young Sudhakar Yalamanchili Computer Architecture and Systems Laboratory Center for Experimental Research in Computer Systems School of Electrical and Computer Engineering Georgia Institute of Technology.

202 views • 9 slides

GPUs and Accelerators

223 views • 9 slides

Views on CPS

205 views • 7 slides