Large Scale Computing in Science and Engineering
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FUNDAMENTALS of COMPUTING (2019-20) COURSE CODE: 5023 502800CH (Grade 7 for ½ High School Credit) 502900CH (Grade 8 for ½ High School Credit)
EXPLORING COMPUTER SCIENCE NEW NAME: FUNDAMENTALS OF COMPUTING (2019-20) COURSE CODE: 5023 502800CH (grade 7 for ½ high school credit) 502900CH (grade 8 for ½ high school credit) COURSE DESCRIPTION: Fundamentals of Computing is designed to introduce students to the field of computer science through an exploration of engaging and accessible topics. Through creativity and innovation, students will use critical thinking and problem solving skills to implement projects that are relevant to students’ lives. They will create a variety of computing artifacts while collaborating in teams. Students will gain a fundamental understanding of the history and operation of computers, programming, and web design. Students will also be introduced to computing careers and will examine societal and ethical issues of computing. OBJECTIVE: Given the necessary equipment, software, supplies, and facilities, the student will be able to successfully complete the following core standards for courses that grant one unit of credit. RECOMMENDED GRADE LEVELS: 9-12 (Preference 9-10) COURSE CREDIT: 1 unit (120 hours) COMPUTER REQUIREMENTS: One computer per student with Internet access RESOURCES: See attached Resource List A. SAFETY Effective professionals know the academic subject matter, including safety as required for proficiency within their area. They will use this knowledge as needed in their role. The following accountability criteria are considered essential for students in any program of study. 1. Review school safety policies and procedures. 2. Review classroom safety rules and procedures. 3. Review safety procedures for using equipment in the classroom. 4. Identify major causes of work-related accidents in office environments. 5. Demonstrate safety skills in an office/work environment. -
Contrpl Data Nos Version 2 Administration Handbook
60459840 CONTRPL DATA NOS VERSION 2 ADMINISTRATION HANDBOOK /fP^v CDC® OPERATING SYSTEMS: CYBER 180 CYBER 170 CYBER 70 MODELS 71, 72, 73, 74 6000 REVISION RECORD T-gSZBZaSESEl jiito wminan REVISION DESCRIPTION Manual released; reflects NOS 2.3 at PSR level 617. Features include default charge restriction, (10-05-84) terminal input and output count at logoff, password randomization, a new CHARGE directive for the SUBMIT command, and support of the Mass Storage Archival Subsystem. Supports CYBER 180 computer systems. B Revision B reflects NOS 2.4.2 at PSR level 642. It incorporates new features such as support of (09-26-85) CYBER 180 Models 840, 850, 860, and 990, Printer Support Utility, and NAM Application Switching. Revision C reflects NOS 2.5.1 at PSR level 664. It documents the personal identification (09-30-86) v a l i d a t i o n , t h e s i n g l e t e r m i n a l s e s s i o n r e s t r i c t i o n , a n d o t h e r m i s c e l l a n e o u s t e c h n i c a l c h a n g e s . Revision D reflects NOS 2.6.1 at PSR level 700. It includes miscellaneous corrections and minor (04-14-88) additions. Publication No, 60459840 REVISION LETTERS I. O. Q. S. X AND Z ARE NOT USED. Address comments concerning this manual to: Control Data Technical Publications 4201 N. -
Oral History of Fernando Corbató
Oral History of Fernando Corbató Interviewed by: Steven Webber Recorded: February 1, 2006 West Newton, Massachusetts CHM Reference number: X3438.2006 © 2006 Computer History Museum Oral History of Fernando Corbató Steven Webber: Today the Computer History Museum Oral History Project is going to interview Fernando J. Corbató, known as Corby. Today is February 1 in 2006. We like to start at the very beginning on these interviews. Can you tell us something about your birth, your early days, where you were born, your parents, your family? Fernando Corbató: Okay. That’s going back a long ways of course. I was born in Oakland. My parents were graduate students at Berkeley and then about age 5 we moved down to West Los Angeles, Westwood, where I grew up [and spent] most of my early years. My father was a professor of Spanish literature at UCLA. I went to public schools there in West Los Angeles, [namely,] grammar school, junior high and [the high school called] University High. So I had a straightforward public school education. I guess the most significant thing to get to is that World War II began when I was in high school and that caused several things to happen. I’m meandering here. There’s a little bit of a long story. Because of the wartime pressures on manpower, the high school went into early and late classes and I cleverly saw that I could get a chance to accelerate my progress. I ended up taking both early and late classes and graduating in two years instead of three and [thereby] got a chance to go to UCLA in 1943. -
Topic a Dataflow Model of Computation
Department of Electrical and Computer Engineering Computer Architecture and Parallel Systems Laboratory - CAPSL Topic A Dataflow Model of Computation CPEG 852 - Spring 2014 Advanced Topics in Computing Systems Guang R. Gao ACM Fellow and IEEE Fellow Endowed Distinguished Professor Electrical & Computer Engineering University of Delaware CPEG852-Spring14: Topic A - Dataflow - 1 [email protected] Outline • Parallel Program Execution Models • Dataflow Models of Computation • Dataflow Graphs and Properties • Three Dataflow Models – Static – Recursive Program Graph – Dynamic • Dataflow Architectures CPEG852-Spring14: Topic A - Dataflow - 1 2 Terminology Clarification • Parallel Model of Computation – Parallel Models for Algorithm Designers – Parallel Models for System Designers • Parallel Programming Models • Parallel Execution Models • Parallel Architecture Models CPEG852-Spring14: Topic A - Dataflow - 1 3 What is a Program Execution Model? . Application Code . Software Packages User Code . Program Libraries . Compilers . Utility Applications PXM (API) . Hardware System . Runtime Code . Operating System CPEG852-Spring14: Topic A - Dataflow - 1 4 Features a User Program Depends On . Procedures; call/return Features expressed within .Access to parameters and a Programming language variables .Use of data structures (static and dynamic) But that’s not all !! . File creation, naming and access Features expressed Outside .Object directories a (typical) programming .Communication: networks language and peripherals .Concurrency: coordination; scheduling CPEG852-Spring14: Topic A - Dataflow - 1 5 Developments in the 1960s, 1970s Highlights 1960 Other Events . Burroughs B5000 Project . Project MAC Funded at MIT Started . Rice University Computer . IBM announces System 360 . Vienna Definition Method . Tasking introduced in Algol . Common Base Language, 1970 68 and PL/I Dennis . Burroughs builds Robert . Contour Model, Johnston Barton’s DDM1 . Book on the B6700, . -
Florida Course Code Directory Computer Science Course Information 2019-2020
FLORIDA COURSE CODE DIRECTORY COMPUTER SCIENCE COURSE INFORMATION 2019-2020 Section 1007.2616, Florida Statutes, was amended by the Florida Legislature to include the definition of computer science and a requirement that computer science courses be identified in the Course Code Directory published on the Department of Education’s website. DEFINITION: The study of computers and algorithmic processes, including their principles, hardware and software designs, applications, and their impact on society, and includes computer coding and computer programming. SECONDARY COMPUTER SCIENCE COURSES Middle and high schools in each district, including combination schools in which any of grades 6-12 are taught, must provide an opportunity for students to enroll in a computer science course. If a school district does not offer an identified computer science course the district must provide students access to the course through the Florida Virtual School (FLVS) or through other means. COURSE NUMBER COURSE TITLE 0200000 M/J Computer Science Discoveries 0200010 M/J Computer Science Discoveries 1 0200020 M/J Computer Science Discoveries 2 0200305 Computer Science Discoveries 0200315 Computer Science Principles 0200320 AP Computer Science A 0200325 AP Computer Science A Innovation 0200335 AP Computer Science Principles 0200435 PRE-AICE Computer Studies IGCSE Level 0200480 AICE Computer Science 1 AS Level 0200485 AICE Computer Science 2 A Level 0200490 AICE Information Technology 1 AS Level 0200495 AICE Information Technology 2 A Level 0200800 IB Computer -
Hematopoietic and Lymphoid Neoplasm Coding Manual
Hematopoietic and Lymphoid Neoplasm Coding Manual Effective with Cases Diagnosed 1/1/2010 and Forward Published August 2021 Editors: Jennifer Ruhl, MSHCA, RHIT, CCS, CTR, NCI SEER Margaret (Peggy) Adamo, BS, AAS, RHIT, CTR, NCI SEER Lois Dickie, CTR, NCI SEER Serban Negoita, MD, PhD, CTR, NCI SEER Suggested citation: Ruhl J, Adamo M, Dickie L., Negoita, S. (August 2021). Hematopoietic and Lymphoid Neoplasm Coding Manual. National Cancer Institute, Bethesda, MD, 2021. Hematopoietic and Lymphoid Neoplasm Coding Manual 1 In Appreciation NCI SEER gratefully acknowledges the dedicated work of Drs, Charles Platz and Graca Dores since the inception of the Hematopoietic project. They continue to provide support. We deeply appreciate their willingness to serve as advisors for the rules within this manual. The quality of this Hematopoietic project is directly related to their commitment. NCI SEER would also like to acknowledge the following individuals who provided input on the manual and/or the database. Their contributions are greatly appreciated. • Carolyn Callaghan, CTR (SEER Seattle Registry) • Tiffany Janes, CTR (SEER Seattle Registry) We would also like to give a special thanks to the following individuals at Information Management Services, Inc. (IMS) who provide us with document support and web development. • Suzanne Adams, BS, CTR • Ginger Carter, BA • Sean Brennan, BS • Paul Stephenson, BS • Jacob Tomlinson, BS Hematopoietic and Lymphoid Neoplasm Coding Manual 2 Dedication The Hematopoietic and Lymphoid Neoplasm Coding Manual (Heme manual) and the companion Hematopoietic and Lymphoid Neoplasm Database (Heme DB) are dedicated to the hard-working cancer registrars across the world who meticulously identify, abstract, and code cancer data. -
Active Shooter Recommendations and Analysis for Risk Mitigation
New York City Police Department Active Shooter Recommendations and Analysis for Risk Mitigation Raymond W. Kelly Police Commissioner Table of Contents Acknowledgements……………………………………………………………………....ii Part I: Introduction…………………………………………………….………................1 Part II: Recommendations………………………………………………………..………2 Part III: Analysis …………………….…………………………………………………..4 Part IV: Analytic Methodology …………………………………………………….........9 Appendix: Compendium of Active Shooter Incidents - Office Buildings……………………………………………………………...12 - Open Commercial……………………………………………………………29 - Factories and Warehouses……………………………………………………61 - Schools……………………………………………………………………….78 - Other………………………………………………………………………..151 i Acknowledgements This report was prepared by the Counterterrorism Bureau of the New York City Police Department (NYPD), led by Deputy Commissioner Richard Daddario and Assistant Chief James R. Waters. The drafting of this report was a collaborative effort. The various authors and subject-matter experts include: Sgt. Richard Alvarez, Det. John Andersen, Sgt. Christopher Biddle, Lt. Stephenie Clark, Det. Joseph Cotter, Ryan Merola, Det. Peter Montella, Peter Patton, and Capt. Michael Riggio. In addition, NYPD Intelligence Research Specialists Aviva Feuerstein and Nathaniel Young, Det. Raymond McPartland, and Dr. Evan Levine, Chief Scientist for the Office of Risk Management and Analysis at the U.S. Department of Homeland Security, made extraordinary contributions to this report; the completion of this work is due largely to their efforts. Active Shooter -
Musings RIK FARROWOPINION
Musings RIK FARROWOPINION Rik is the editor of ;login:. While preparing this issue of ;login:, I found myself falling down a rabbit hole, like [email protected] Alice in Wonderland . And when I hit bottom, all I could do was look around and puzzle about what I discovered there . My adventures started with a casual com- ment, made by an ex-Cray Research employee, about the design of current super- computers . He told me that today’s supercomputers cannot perform some of the tasks that they are designed for, and used weather forecasting as his example . I was stunned . Could this be true? Or was I just being dragged down some fictional rabbit hole? I decided to learn more about supercomputer history . Supercomputers It is humbling to learn about the early history of computer design . Things we take for granted, such as pipelining instructions and vector processing, were impor- tant inventions in the 1970s . The first supercomputers were built from discrete components—that is, transistors soldered to circuit boards—and had clock speeds in the tens of nanoseconds . To put that in real terms, the Control Data Corpora- tion’s (CDC) 7600 had a clock cycle of 27 .5 ns, or in today’s terms, 36 4. MHz . This was CDC’s second supercomputer (the 6600 was first), but included instruction pipelining, an invention of Seymour Cray . The CDC 7600 peaked at 36 MFLOPS, but generally got 10 MFLOPS with carefully tuned code . The other cool thing about the CDC 7600 was that it broke down at least once a day . -
Mi!!Lxlosalamos SCIENTIFIC LABORATORY
LA=8902-MS C3b ClC-l 4 REPORT COLLECTION REPRODUCTION COPY VAXNMS Benchmarking 1-’ > .— u) 9 g .— mi!!lxLOS ALAMOS SCIENTIFIC LABORATORY Post Office Box 1663 Los Alamos. New Mexico 87545 — wAifiimative Action/Equal Opportunity Employer b . l)lS(”L,\l\ll K “Thisreport wm prcpmd J, an xcttunt ,,1”wurk ,pmwrd by an dgmcy d the tlnitwl SIdtcs (kvcm. mm:. Ncit her t hc llniml SIJIL.. ( Lwcrnmcm nor any .gcncy tlhmd. nor my 08”Ihcif cmployccs. makci my wur,nly. mprcss w mphd. or JwImL.s m> lcg.d Iululity ur rcspmuhdily ltw Ilw w.cur- acy. .vmplctcncs. w uscftthtc>. ttt”any ml’ormdt ml. dpprdl us. prudu.i. w proccw didowd. or rep. resent%Ihd IIS us wuukl not mfrm$e priwtcly mvnd rqdtts. Itcl”crmcti herein 10 my sp.xi!l tom. mrcial ptotlucr. prtxcm. or S.rvskc hy tdc mmw. Irdcnmrl.. nmu(a.lurm. or dwrwi~.. does nut mmwsuily mnstitutc or reply its mdursmwnt. rccummcnddton. or favorin: by the llniwd States (“mvcmment ormy qxncy thctcd. rhc V!C$VSmd opinmm d .mthor% qmxd herein do nut net’. UMrily r;~lt or died lhow. ol”the llnttcd SIJIL.S( ;ovwnnwnt or my ugcncy lhure of. UNITED STATES .. DEPARTMENT OF ENERGY CONTRACT W-7405 -ENG. 36 . ... LA-8902-MS UC-32 Issued: July 1981 G- . VAX/VMS Benchmarking Larry Creel —. I . .._- -- ----- ,. .- .-. .: .- ,.. .. ., ..,..: , .. .., . ... ..... - .-, ..:. .. *._–: - . VAX/VMS BENCHMARKING by Larry Creel ABSTRACT Primary emphasis in this report is on the perform- ance of three Digital Equipment Corporation VAX-11/780 computers at the Los Alamos National Laboratory. Programs used in the study are part of the Laboratory’s set of benchmark programs. -
HDF-EOS Interface Based on HDF5, Volume 2: Function Reference Guide Was Prepared Under the EOSDIS Evolution and Development-2 Contract (NNG15HZ39C)
This page intentionally left blank. Preface This document is a Users Guide for HDF-EOS (Hierarchical Data Format - Earth Observing System) library tools. The version described in this document is HDF-EOS Version 5.1.16. The software is based on HDF5, a new version of HDF provided by by The HDF Group. HDF5 is a complete rewrite of the earlier HDF4 version, containing a different data model and user interface. HDF-EOS V5.1.16 incorporates HDF5, and keeps the familier HDF4-based interface. There are a few exceptions and these exceptions are described in this document. Note that the major functional difference is that Version 5.1.16 of the HDF-EOS library is a thread-safe. HDF is the scientific data format standard selected by NASA as the baseline standard for EOS. This Users Guide accompanies Version 5.1.16 software, which is available to the user community on the EDHS1 server. This library is aimed at EOS data producers and consumers, who will develop their data into increasingly higher order products. These products range from calibrated Level 1 to Level 4 model data. The primary use of the HDF-EOS library will be to create structures for associating geolocation data with their associated science data. This association is specified by producers through use of the supplied library. Most EOS data products which have been identified, fall into categories of Point, Grid, Swath or Zonal Average structures, the latter two of which are implemented in the current version of the library. Services based on geolocation information will be built on HDF-EOS structures. -
M6-750/750S M6-760/760S M6-770/770S
M6-750/750S M6-760/760S M6-770/770S CHARACTERISTICS Microprocessor i486 DX2 @ 50 MHz M6-750 M6-750 S i486 DX2 @ 66 MHz M6-760 M6-760 S MOTHERBOARD INTEL DX4 @ 100 MHz M6-770 M6-770 S BA2080 Pre-production These are the processor’s internal clock boards only. rates. Clock M6-750 M6-750 S 25 MHz BA2123 Chip Set M6-760 M6-760 S 33 MHz Saturn step B 5 M6-770 M6-770 S 33 MHz BA2136 Chip Set Saturn step B with new Architecture ISA / PCI printed circuit. Memory RAM: minimum 8 MB, maximum 128 MB The motherboard has four sockets arranged BA2154 Chip Set in two separate banks capable of Saturn 2 accomodating the following SIMMs: BA2156 Chip Set EXM 28-004 No 1 1MB x 36 (4 MB) SIMM Saturn 2 with new EXM 28-008 No 1 2MB x 36 (8 MB) SIMM printed circuit. EXM 28-016 No 1 4MB x 36 (16 MB) SIMM o EXM 28-032 N 1 8MB x 36 (32 MB) SIMM BIOS - Two kits are always required. - The banks can host 8 MB, 16 MB, 32 MB The ROM BIOS is a or 64 MB. Mixed configurations can be Flash EPROM. The used. BIOS code is supplied - Different SIMMs cannot be used within on diskettes and must the same bank. be copied into the Flash EPROM. Memory access 70 ns Last level: Rel. 2.03 Cache - First level cache: 8 KB integrated in the processor - Secondary level cache: 128 KB or 256 KB capacity EXPANSION BUS Depending on the jumper settings, cache TIN BOX IN 2013 memory can work in either write back or IN 2022 write through mode. -
Cielo Computational Environment Usage Model
Cielo Computational Environment Usage Model With Mappings to ACE Requirements for the General Availability User Environment Capabilities Release Version 1.1 Version 1.0: Bob Tomlinson, John Cerutti, Robert A. Ballance (Eds.) Version 1.1: Manuel Vigil, Jeffrey Johnson, Karen Haskell, Robert A. Ballance (Eds.) Prepared by the Alliance for Computing at Extreme Scale (ACES), a partnership of Los Alamos National Laboratory and Sandia National Laboratories. Approved for public release, unlimited dissemination LA-UR-12-24015 July 2012 Los Alamos National Laboratory Sandia National Laboratories Disclaimer Unless otherwise indicated, this information has been authored by an employee or employees of the Los Alamos National Security, LLC. (LANS), operator of the Los Alamos National Laboratory under Contract No. DE-AC52-06NA25396 with the U.S. Department of Energy. The U.S. Government has rights to use, reproduce, and distribute this information. The public may copy and use this information without charge, provided that this Notice and any statement of authorship are reproduced on all copies. Neither the Government nor LANS makes any warranty, express or implied, or assumes any liability or responsibility for the use of this information. Bob Tomlinson – Los Alamos National Laboratory John H. Cerutti – Los Alamos National Laboratory Robert A. Ballance – Sandia National Laboratories Karen H. Haskell – Sandia National Laboratories (Editors) Cray, LibSci, and PathScale are federally registered trademarks. Cray Apprentice2, Cray Apprentice2 Desktop, Cray C++ Compiling System, Cray Fortran Compiler, Cray Linux Environment, Cray SHMEM, Cray XE, Cray XE6, Cray XT, Cray XTm, Cray XT3, Cray XT4, Cray XT5, Cray XT5h, Cray XT5m, Cray XT6, Cray XT6m, CrayDoc, CrayPort, CRInform, Gemini, Libsci and UNICOS/lc are trademarks of Cray Inc.