'Runtime system' presentation slideshows

Software Defined Networking COMS 6998-8, Fall 2013

Software Defined Networking COMS 6998-8, Fall 2013. Instructor: Li Erran Li ( lierranli@cs.columbia.edu ) http://www.cs.columbia.edu/~lierranli/coms6998-8SDNFall2013 / 11/19 /2013: SDN Wireless Networks. Outline. Review Midterm SDN and Middleboxes SDN Wireless Networks Motivation

980 views • 85 slides

Nested Parallelism in Transactional Memory

Nested Parallelism in Transactional Memory. Kunal Agrawal , Jeremy T. Fineman and Jim Sukha MIT. Program Representation. ParallelIncrement (){ parallel { x ? x+1 }//Thread1 { x ? x+1 }//Thread2 }.

670 views • 59 slides

Common Intermediate Codes

Common Intermediate Codes. Professor Yihjia Tsai Tamkang University. The common intermediate format nirvana. If we have n number of languages and need to have them running on m number of machines we need m*n compilers!

637 views • 49 slides

Partitioned Global Address Space Languages Kathy Yelick Lawrence Berkeley National Laboratory

Partitioned Global Address Space Languages Kathy Yelick Lawrence Berkeley National Laboratory and UC Berkeley. Joint work with The Titanium Group: S. Graham, P. Hilfinger, P. Colella, D. Bonachea, K. Datta, E. Givelberg, A. Kamil, N. Mai, A. Solar, J. Su, T. Wen

490 views • 39 slides

Subtyping

Subtyping. Chapter 15 Benjamin Pierce Types and Programming Languages. Varieties of Polymorphism . Parametric polymorphism A single piece of code is typed generically Imperative or first-class polymorphism ML-style or let-polymorphism

551 views • 34 slides

Using Simulation to Explore Distributed Key-Value Stores for Extreme-Scale System Services

Using Simulation to Explore Distributed Key-Value Stores for Extreme-Scale System Services. Ke Wang , Abhishek Kulkarni , Mi chael Lang, Dorian Arnold, Ioan Raicu USRC @ Los Alamos National Laboratory Datasys @ Illinois Institute of Technology CS @ Indiana University

454 views • 34 slides

When Less Is MOre (LIMO): Controlled Parallelism for Improved Efficiency

When Less Is MOre (LIMO): Controlled Parallelism for Improved Efficiency. Gaurav Chadha , Scott Mahlke , Satish Narayanasamy University of Michigan. Motivation. Hardware trends CMPs are ubiquitous. More and more cores in a system

463 views • 33 slides

467 views • 32 slides

Memory consistency models

Memory consistency models. Presented by: Gabriel Tanase. Summary. Memory Consistency (definition) Sequential Consistency Processor Consistency Week Consistency Release Consistency Early Release Consistency Lazy Release Consistency Entry Consistency. Memory Consistency.

1.32k views • 31 slides

Cooperative Parallelization

447 views • 29 slides

Liberate Your Apps!

Liberate Your Apps!. Philippe Leefsma Senior Developer Consultant Autodesk Developer Network . Getting Started. Windows Communication Foundation ( WCF ) http :// msdn.microsoft.com/en-us/library/ms731082.aspx Cloud Hosting Providers http://www.windowsazure.com http ://aws.amazon.com.

369 views • 28 slides

Lightweight Concurrency in GHC

Lightweight Concurrency in GHC. KC Sivaramakrishnan Tim Harris Simon Marlow Simon Peyton Jones. GHC: Concurrency and Parallelism. MVars. forkIO. Safe foreign calls. Bound threads. Par Monad. Asynchronous exceptions. STM. Concurrency landscape in GHC. Haskell Code.

372 views • 28 slides

XPRESS Project Update

XPRESS Project Update. Ron Brightwell, Technical Manager Scalable System Software Department. Project Goal. R&D of OpenX software architecture for exascale computing Four thrust areas

388 views • 27 slides

OPERATING SYSTEM

OPERATING SYSTEM. LESSON 5. THREADS. The process model is based on two independent concepts: resource grouping and execution .

349 views • 25 slides

Pay-to-use strong atomicity on conventional hardware

274 views • 20 slides

Java Implementation: Part 3 Version 1.1 of 2014-03-18: added learning objectives

255 views • 17 slides

Java Implementation: Part 3 Version 1.1 of 2014-03-18: added learning objectives

257 views • 17 slides

CompSci 230 Software Construction

319 views • 16 slides

CompSci 230 Software Construction

267 views • 16 slides

PreDatA -- Preparatory Data Analytics on Peta-Scale Machines

PreDatA -- Preparatory Data Analytics on Peta-Scale Machines. Fang Zheng Hasan Abbasi Jianting Cao Jai Dayal Jay Lofstead Karsten Schwan Matthew Wolf CERCS Center Georgia Tech. Qing Liu Scott Klasky Norbert Podhorszki Oak Ridge National Laboratory. Ciprian Docan Manish Parashar

255 views • 11 slides