'Parallel computing' presentation slideshows

2.68k views • 167 slides

How to Think Algorithmically in Parallel?

1.12k views • 85 slides

Cloud Application Development

Cloud Application Development. China Machine Press, China. McGraw Hill, India. Morgan Kauffman, USA. Unit 1- PART1: Fundamentals of Cloud Programming and Systems. Computing Platforms and Technologies, Eras of Computing .

1.67k views • 73 slides

Hybrid Cloud and Cluster Computing Paradigms for Scalable Data Intensive Applications

Hybrid Cloud and Cluster Computing Paradigms for Scalable Data Intensive Applications. Judy Qiu xqiu@indiana.edu http://salsahpc.indiana.edu School of Informatics and Computing Indiana University. April 15, 2011 University of Alabama. Challenges for CS Research.

923 views • 62 slides

Supercomputing in Plain English

Supercomputing in Plain English. Teaching High Performance Computing to Inexperienced Programmers Henry Neeman, University of Oklahoma Julia Mullen, Worcester Polytechnic Institute Lloyd Lee, University of Oklahoma

859 views • 60 slides

Presentation Overview

Presentation Overview. 1. Models of Parallel Computing The evolution of the conceptual framework behind parallel systems. 2. Grid Computing The creation of a structure within the parallel framework to facilitate efficient use of shared resources. 3. Cilk Language and Scheduler

743 views • 60 slides

Clouds and Web2.0 Introduction

Clouds and Web2.0 Introduction. CTS08 Tutorial Hyatt Regency Irvine California May 19 2008 Geoffrey Fox, Marlon Pierce Community Grids Laboratory , School of informatics Indiana University http://www.infomall.org/multicore gcf@indiana.edu , http://www.infomall.org. 1.

619 views • 50 slides

Linking Programming models between Grids, Web 2.0 and Multicore

Linking Programming models between Grids, Web 2.0 and Multicore. Distributed Programming Abstractions Workshop NESC Edinburgh UK May 31 2007 Geoffrey Fox Computer Science, Informatics, Physics Pervasive Technology Laboratories Indiana University Bloomington IN 47401 gcf@indiana.edu

663 views • 47 slides

The eXplicit MultiThreading (XMT) Easy-To-Program Parallel Computer: A PRAM-On-Chip Proof-of-Concept

The eXplicit MultiThreading (XMT) Easy-To-Program Parallel Computer: A PRAM-On-Chip Proof-of-Concept. Uzi Vishkin (Lack of) ease-of-programming failed all parallel computers to date Vendors are yet to offer easy-to-program (& scalable) many-cores

1.11k views • 42 slides

Parallel Computing 2007: Bring your own parallel application

484 views • 33 slides

Programming Multicore Processors

Programming Multicore Processors. Aamir Shafi High Performance Computing Lab http://hpc.seecs.nust.edu.pk. Serial Computation . Traditionally, software has been written for serial computation: To be run on a single computer having a single Central Processing Unit (CPU)

667 views • 30 slides

12.010 Computational Methods of Scientific Programming

12.010 Computational Methods of Scientific Programming Lecturers Thomas A Herring, Room 54-820A, tah@mit.edu Chris Hill, Room 54-1511, cnh@gulf.mit.edu Web page http://www-gpsg.mit.edu/~tah/12.010 Review of last Lecture Examined parallel computing and MPI implementation.

593 views • 29 slides

Wildfire Distributed, Grid-Enabled Workflow Construction and Execution

Arun Krishnan, PhD Assistant Professor, Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan. Wildfire Distributed, Grid-Enabled Workflow Construction and Execution. Affordable HPC Commodity hardware assembled into Beowulf clusters Pooled hardware in Grids

412 views • 27 slides

Threads

Threads. Lecture 3. Some Definitions. Parallelism : degree to which a multiprocessor application achieves parallel execution Concurrency : Maximum parallelism an application can achieve with unlimited processors System Concurrency : kernel recognizes multiple threads of control in a program

459 views • 26 slides

Parallel Computing @ ISDS

Parallel Computing @ ISDS. Chris Hans 29 November 2004. Organization. Basics of Parallel Computing Structural Computational Coding for Distributed Computing Examples Resources at Duke CSEM Cluster. Basics of Distributed Computing. Online Tutorial (Livermore Nat. Lab.)

486 views • 25 slides

LHC Upgrade

LHC Upgrade. Kai Hock. The LHC Motivation and Activities The Science Case Technical Issues and Challenges Opportunities for us Scale of project UK support. Main Sources CERN LHC website - the LHC http://public.web.cern.ch/Public/en/LHC/LHC-en.html CARE-HHH website - LHC upgrade

550 views • 24 slides

Instant-access cycle stealing for parallel applications requiring interactive response

361 views • 22 slides

Enabling Large Scale Scientific Computations for Expressed Sequence Tag Sequencing over Grid and Cloud Computing Cluster

Enabling Large Scale Scientific Computations for Expressed Sequence Tag Sequencing over Grid and Cloud Computing Clusters. Sangmi Lee Pallickara, Marlon Pierce, Qunfeng Dong, Chin Hua Kong Indiana University, Bloomington IN, USA *Presented by Marlon Pierce.

435 views • 22 slides

Introduction to Parallel Computing

Introduction to Parallel Computing. Ananth Grama, Anshul Gupta, George Karypis, and Vipin Kumar To accompany the text ``Introduction to Parallel Computing'', Addison Wesley, 2003. Topic Overview . Motivating Parallelism Scope of Parallel Computing Applications

513 views • 15 slides

GPU programming

GPU programming. Usman Roshan. Parallel computing. Why in a deep learning course? Some machine learning programs take a long time to finish. For example large neural networks and kernel methods.

485 views • 8 slides