'Scientific computing' presentation slideshows

RHIC & AGS ANNUAL USER’S MEETING WELCOME ADDRESS UEC CHAIR John Hill Iowa State University, 6-21-07 OUTLINE 1. Organization of UEC 2. What we have done this year 3. Conclusions John Hill Iowa State University, 6-21-07 Present UEC Membership

Applications of .NET to Scientific Computing James Kovacs Lead Senior Systems Analyst Quadrus Development Inc. March 22, 2005 Agenda Introductions Benefits of .NET .NET Framework Overview Windows Forms ASP.NET Web Services About Quadrus Formed in 1993

Security Activities Brent Draney Networking, Security, Servers and Workstations BRDraney@nersc.gov NERSC User Group Meeting September 17, 2007. Security and Compliance. Security Maintaining Systems Detecting compromises Compliance Meeting laws, regulations and guidance

CIS 401: Applied Scientific Computing with MATLAB. Andrew Pershing 3134 Snee Hall ajp9@cornell.edu 255-5552. Outline. Course Description Details Policies Intro to CIS Tools Curriculum Role of Computing in Science and Engineering Basic Concepts. Course Goals. This course will:

Applications of .NET to Scientific Computing. James Kovacs Lead Senior Systems Analyst Quadrus Development Inc. March 22, 2005. Agenda. Introductions Benefits of .NET .NET Framework Overview Windows Forms ASP.NET Web Services. About Quadrus. Formed in 1993

Partial Differential Equations. Paul Heckbert Computer Science Department Carnegie Mellon University. Differential Equation Classes 1. dimension of unknown: ordinary differential equation (ODE) – unknown is a function of one variable, e.g. y(t)

High Performance Parallel Computing with Clouds and Cloud Technologies. 1. 1,2. Jaliya Ekanayake, Geoffrey Fox { jekanaya,gcf }@ indiana.edu School of Informatics and Computing Pervasive Technology Institute Indiana University Bloomington. CloudComp 09 Munich, Germany. 1. 2.

Two Tantalizing Concepts. Randomness “Any one who considers arithmetical methods of producing random digits is, of course, in a state of sin” – Von Neumann There is no such thing as a random number; there are only methods (e.g., arithmetic vs. quantum) to produce random numbers Redundancy

METAHEURISTICS IN SCIENCE AND INDUSTRY: NEW DEVELOPMENTS . Fred Glover OptTek Systems, Inc. Boulder, Colorado Andreas Reinholz University of Dortmund Dortmund, Germany. Metaheuristics International Conference June 25-29, 2007. OptTek Customized Simulation Optimization Applications.

NSF PI Meeting: The Science of the Cloud, Mar 17-18, 2011 Waterview Conference Center, Arlington, VA . Cloud Computing Clusters for Scientific Research*. J. J. Rehr , F. D. Vila, and K. Jorissen. Department of Physics, University of Washington Seattle, WA 98195-1560.

The SCI Institute. Simulation & Scientific Computing. Problem Solving Enviroments & Tools. Visualization. Image Analysis. SCI and Image Processing. SCI ~110 people $10M/year NIH, DOE, NSF, DARPA, Industry 14 faculty. Image processing ~12 people $1M/year NIH, NSF, GE, Exxon-Mobil

Characteristics Large, complex set of programs Long-lived, evolutionary Worked on by many people over many years. Functions Creates abstractions Multiplexes concurrent activities Manages resources Mediates access to hardware devices

SLAC Remote Access VPN over SSL. Technical Presentation with Q&A. When and Why Use VPN. Visitor Wireless at SLAC Home or Home Office Travel Servers or Applications Not Internet-Accessible Network File Shares Protects Your Network Traffic From Prying Eyes

GPU Sparse LU Factorization and Its Application in Circuit Simulation. Nano-scale Integrated Circuit and System Lab., EE Department, Tsinghua University Ling Ren. Abstract. First work on GPU sparse LU factorization Algorithm description: elimination graph ( EGraph )

www.renardus.org. Cultural Heritage Projects: Renardus . Dr. Heike Neuroth Lower Saxony State and University Library Göttingen, Germany (SUB) neuroth@mail.sub.uni-goettingen.de. General.

High Performance Computing, Clusters, and Productivity. HPC Market Reality. The market represented by high performance computing can represent a sustainable business provided effective leveraging of commodity technologies

111101010100010100101010100110110111010101010101111011101010101010111000110 1101010100010101. Big Data Computing: Building a Vision for ARS Information Management Feb. 5-7, 2012 GWCC, Beltsville, MD . Workshop Organizing Committee: Rosalind R. James—Carolyn Lawrence

A Comparison of Some Iterative Methods in Scientific Computing. Shawn Sickel Man-Cheng Yeung Jon Held Department of Mathematics. Introduction:

Summary of inter-process communication. Chenguang Kong. Outline. Introduction Message Passing Communication Request/Reply Communication Transaction Communication Name and Directory Services Investigation on Future Work. Introduction.

ECE 252 / CPS 220 Advanced Computer Architecture I Lecture 17 Vectors. Benjamin Lee Electrical and Computer Engineering Duke University www.duke.edu/~bcl15 www.duke.edu/~bcl15/class/class_ece252fall11.html. ECE252 Administrivia. 15 November – Homework #4 Due Project Status