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A Concurrent PASCAL Compiler for Minicomputers
512 Appendix A DIFFERENCES BETWEEN UCSD'S PASCAL AND STANDARD PASCAL The PASCAL language used in this book contains most of the features described by K. Jensen and N. Wirth in PASCAL User Manual and Report, Springer Verlag, 1975. We refer to the PASCAL defined by Jensen and Wirth as "Standard" PASCAL, because of its widespread acceptance even though no international standard for the language has yet been established. The PASCAL used in this book has been implemented at University of California San Diego (UCSD) in a complete software system for use on a variety of small stand-alone microcomputers. This will be referred to as "UCSD PASCAL", which differs from the standard by a small number of omissions, a very small number of alterations, and several extensions. This appendix provides a very brief summary Of these differences. Only the PASCAL constructs used within this book will be mentioned herein. Documents are available from the author's group at UCSD describing UCSD PASCAL in detail. 1. CASE Statements Jensen & Wirth state that if there is no label equal to the value of the case statement selector, then the result of the case statement is undefined. UCSD PASCAL treats this situation by leaving the case statement normally with no action being taken. 2. Comments In UCSD PASCAL, a comment appears between the delimiting symbols "(*" and "*)". If the opening delimiter is followed immediately by a dollar sign, as in "(*$", then the remainder of the comment is treated as a directive to the compiler. The only compiler directive mentioned in this book is (*$G+*), which tells the compiler to allow the use of GOTO statements. -
Units and Magnitudes (Lecture Notes)
physics 8.701 topic 2 Frank Wilczek Units and Magnitudes (lecture notes) This lecture has two parts. The first part is mainly a practical guide to the measurement units that dominate the particle physics literature, and culture. The second part is a quasi-philosophical discussion of deep issues around unit systems, including a comparison of atomic, particle ("strong") and Planck units. For a more extended, profound treatment of the second part issues, see arxiv.org/pdf/0708.4361v1.pdf . Because special relativity and quantum mechanics permeate modern particle physics, it is useful to employ units so that c = ħ = 1. In other words, we report velocities as multiples the speed of light c, and actions (or equivalently angular momenta) as multiples of the rationalized Planck's constant ħ, which is the original Planck constant h divided by 2π. 27 August 2013 physics 8.701 topic 2 Frank Wilczek In classical physics one usually keeps separate units for mass, length and time. I invite you to think about why! (I'll give you my take on it later.) To bring out the "dimensional" features of particle physics units without excess baggage, it is helpful to keep track of powers of mass M, length L, and time T without regard to magnitudes, in the form When these are both set equal to 1, the M, L, T system collapses to just one independent dimension. So we can - and usually do - consider everything as having the units of some power of mass. Thus for energy we have while for momentum 27 August 2013 physics 8.701 topic 2 Frank Wilczek and for length so that energy and momentum have the units of mass, while length has the units of inverse mass. -
Arxiv:1809.03668V2 [Cs.LG] 20 Jan 2019 17, 20, 21]
Comparing Computing Platforms for Deep Learning on a Humanoid Robot Alexander Biddulph∗, Trent Houliston, Alexandre Mendes, and Stephan K. Chalup School of Electrical Engineering and Computing The University of Newcastle, Callaghan, NSW, 2308, Australia. [email protected] Abstract. The goal of this study is to test two different computing plat- forms with respect to their suitability for running deep networks as part of a humanoid robot software system. One of the platforms is the CPU- centered Intel R NUC7i7BNH and the other is a NVIDIA R Jetson TX2 system that puts more emphasis on GPU processing. The experiments addressed a number of benchmarking tasks including pedestrian detec- tion using deep neural networks. Some of the results were unexpected but demonstrate that platforms exhibit both advantages and disadvantages when taking computational performance and electrical power require- ments of such a system into account. Keywords: deep learning, robot vision, gpu computing, low powered devices 1 Introduction Deep learning comes with challenges with respect to computational resources and training data requirements [6, 13]. Some of the breakthroughs in deep neu- ral networks (DNNs) only became possible through the availability of massive computing systems or through careful co-design of software and hardware. For example, the AlexNet system presented in [15] was implemented efficiently util- ising two NVIDIA R GTX580 GPUs for training. Machine learning on robots has been a growing area over the past years [4, arXiv:1809.03668v2 [cs.LG] 20 Jan 2019 17, 20, 21]. It has become increasingly desirable to employ DNNs in low powered devices, among them humanoid robot systems, specifically for complex tasks such as object detection, walk learning, and behaviour learning. -
Guide for the Use of the International System of Units (SI)
Guide for the Use of the International System of Units (SI) m kg s cd SI mol K A NIST Special Publication 811 2008 Edition Ambler Thompson and Barry N. Taylor NIST Special Publication 811 2008 Edition Guide for the Use of the International System of Units (SI) Ambler Thompson Technology Services and Barry N. Taylor Physics Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899 (Supersedes NIST Special Publication 811, 1995 Edition, April 1995) March 2008 U.S. Department of Commerce Carlos M. Gutierrez, Secretary National Institute of Standards and Technology James M. Turner, Acting Director National Institute of Standards and Technology Special Publication 811, 2008 Edition (Supersedes NIST Special Publication 811, April 1995 Edition) Natl. Inst. Stand. Technol. Spec. Publ. 811, 2008 Ed., 85 pages (March 2008; 2nd printing November 2008) CODEN: NSPUE3 Note on 2nd printing: This 2nd printing dated November 2008 of NIST SP811 corrects a number of minor typographical errors present in the 1st printing dated March 2008. Guide for the Use of the International System of Units (SI) Preface The International System of Units, universally abbreviated SI (from the French Le Système International d’Unités), is the modern metric system of measurement. Long the dominant measurement system used in science, the SI is becoming the dominant measurement system used in international commerce. The Omnibus Trade and Competitiveness Act of August 1988 [Public Law (PL) 100-418] changed the name of the National Bureau of Standards (NBS) to the National Institute of Standards and Technology (NIST) and gave to NIST the added task of helping U.S. -
Multidisciplinary Design Project Engineering Dictionary Version 0.0.2
Multidisciplinary Design Project Engineering Dictionary Version 0.0.2 February 15, 2006 . DRAFT Cambridge-MIT Institute Multidisciplinary Design Project This Dictionary/Glossary of Engineering terms has been compiled to compliment the work developed as part of the Multi-disciplinary Design Project (MDP), which is a programme to develop teaching material and kits to aid the running of mechtronics projects in Universities and Schools. The project is being carried out with support from the Cambridge-MIT Institute undergraduate teaching programe. For more information about the project please visit the MDP website at http://www-mdp.eng.cam.ac.uk or contact Dr. Peter Long Prof. Alex Slocum Cambridge University Engineering Department Massachusetts Institute of Technology Trumpington Street, 77 Massachusetts Ave. Cambridge. Cambridge MA 02139-4307 CB2 1PZ. USA e-mail: [email protected] e-mail: [email protected] tel: +44 (0) 1223 332779 tel: +1 617 253 0012 For information about the CMI initiative please see Cambridge-MIT Institute website :- http://www.cambridge-mit.org CMI CMI, University of Cambridge Massachusetts Institute of Technology 10 Miller’s Yard, 77 Massachusetts Ave. Mill Lane, Cambridge MA 02139-4307 Cambridge. CB2 1RQ. USA tel: +44 (0) 1223 327207 tel. +1 617 253 7732 fax: +44 (0) 1223 765891 fax. +1 617 258 8539 . DRAFT 2 CMI-MDP Programme 1 Introduction This dictionary/glossary has not been developed as a definative work but as a useful reference book for engi- neering students to search when looking for the meaning of a word/phrase. It has been compiled from a number of existing glossaries together with a number of local additions. -
Application Note to the Field Pumping Non-Newtonian Fluids with Liquiflo Gear Pumps
Pumping Non-Newtonian Fluids Application Note to the Field with Liquiflo Gear Pumps Application Note Number: 0104-2 Date: April 10, 2001; Revised Jan. 2016 Newtonian vs. non-Newtonian Fluids: Fluids fall into one of two categories: Newtonian or non-Newtonian. A Newtonian fluid has a constant viscosity at a particular temperature and pressure and is independent of shear rate. A non-Newtonian fluid has viscosity that varies with shear rate. The apparent viscosity is a measure of the resistance to flow of a non-Newtonian fluid at a given temperature, pressure and shear rate. Newton’s Law states that shear stress () is equal the dynamic viscosity () multiplied by the shear rate (): = . A fluid which obeys this relationship, where is constant, is called a Newtonian fluid. Therefore, for a Newtonian fluid, shear stress is directly proportional to shear rate. If however, varies as a function of shear rate, the fluid is non-Newtonian. In the SI system, the unit of shear stress is pascals (Pa = N/m2), the unit of shear rate is hertz or reciprocal seconds (Hz = 1/s), and the unit of dynamic viscosity is pascal-seconds (Pa-s). In the cgs system, the unit of shear stress is dynes per square centimeter (dyn/cm2), the unit of shear rate is again hertz or reciprocal seconds, and the unit of dynamic viscosity is poises (P = dyn-s-cm-2). To convert the viscosity units from one system to another, the following relationship is used: 1 cP = 1 mPa-s. Pump shaft speed is normally measured in RPM (rev/min). -
The Decibel Scale R.C
The Decibel Scale R.C. Maher Fall 2014 It is often convenient to compare two quantities in an audio system using a proportionality ratio. For example, if a linear amplifier produces 2 volts (V) output amplitude when its input amplitude is 100 millivolts (mV), the voltage gain is expressed as the ratio of output/input: 2V/100mV = 20. As long as the two quantities being compared have the same units--volts in this case--the proportionality ratio is dimensionless. If the proportionality ratios of interest end up being very large or very small, such as 2x105 and 2.5x10-4, manipulating and interpreting the results can become rather unwieldy. In this situation it can be helpful to compress the numerical range by taking the logarithm of the ratio. It is customary to use a base-10 logarithm for this purpose. For example, 5 log10(2x10 ) = 5 + log10(2) = 5.301 and -4 log10(2.5x10 ) = -4 + log10(2.5) = -3.602 If the quantities in the proportionality ratio both have the units of power (e.g., 2 watts), or intensity (watts/m ), then the base-10 logarithm log10(power1/power0) is expressed with the unit bel (symbol: B), in honor of Alexander Graham Bell (1847 -1922). The decibel is a unit representing one tenth (deci-) of a bel. Therefore, a figure reported in decibels is ten times the value reported in bels. The expression for a proportionality ratio expressed in decibel units (symbol dB) is: 10 푝표푤푒푟1 10 Common Usage 푑퐵 ≡ ∙ 푙표푔 �푝표푤푒푟0� The power dissipated in a resistance R ohms can be expressed as V2/R, where V is the voltage across the resistor. -
Manycore GPU Architectures and Programming, Part 1
Lecture 19: Manycore GPU Architectures and Programming, Part 1 Concurrent and Mul=core Programming CSE 436/536, [email protected] www.secs.oakland.edu/~yan 1 Topics (Part 2) • Parallel architectures and hardware – Parallel computer architectures – Memory hierarchy and cache coherency • Manycore GPU architectures and programming – GPUs architectures – CUDA programming – Introduc?on to offloading model in OpenMP and OpenACC • Programming on large scale systems (Chapter 6) – MPI (point to point and collec=ves) – Introduc?on to PGAS languages, UPC and Chapel • Parallel algorithms (Chapter 8,9 &10) – Dense matrix, and sorng 2 Manycore GPU Architectures and Programming: Outline • Introduc?on – GPU architectures, GPGPUs, and CUDA • GPU Execuon model • CUDA Programming model • Working with Memory in CUDA – Global memory, shared and constant memory • Streams and concurrency • CUDA instruc?on intrinsic and library • Performance, profiling, debugging, and error handling • Direc?ve-based high-level programming model – OpenACC and OpenMP 3 Computer Graphics GPU: Graphics Processing Unit 4 Graphics Processing Unit (GPU) Image: h[p://www.ntu.edu.sg/home/ehchua/programming/opengl/CG_BasicsTheory.html 5 Graphics Processing Unit (GPU) • Enriching user visual experience • Delivering energy-efficient compung • Unlocking poten?als of complex apps • Enabling Deeper scien?fic discovery 6 What is GPU Today? • It is a processor op?mized for 2D/3D graphics, video, visual compu?ng, and display. • It is highly parallel, highly multhreaded mulprocessor op?mized for visual -
Basic Vacuum Theory
MIDWEST TUNGSTEN Tips SERVICE BASIC VACUUM THEORY Published, now and again by MIDWEST TUNGSTEN SERVICE Vacuum means “emptiness” in Latin. It is defi ned as a space from which all air and other gases have been removed. This is an ideal condition. The perfect vacuum does not exist so far as we know. Even in the depths of outer space there is roughly one particle (atom or molecule) per cubic centimeter of space. Vacuum can be used in many different ways. It can be used as a force to hold things in place - suction cups. It can be used to move things, as vacuum cleaners, drinking straws, and siphons do. At one time, part of the train system of England was run using vacuum technology. The term “vacuum” is also used to describe pressures that are subatmospheric. These subatmospheric pressures range over 19 orders of magnitude. Vacuum Ranges Ultra high vacuum Very high High Medium Low _________________________|_________|_____________|__________________|____________ _ 10-16 10-14 10-12 10-10 10-8 10-6 10-4 10-3 10-2 10-1 1 10 102 103 (pressure in torr) There is air pressure, or atmospheric pressure, all around and within us. We use a barometer to measure this pressure. Torricelli built the fi rst mercury barometer in 1644. He chose the pressure exerted by one millimeter of mercury at 0ºC in the tube of the barometer to be his unit of measure. For many years millimeters of mercury (mmHg) have been used as a standard unit of pressure. One millimeter of mercury is known as one Torr in honor of Torricelli. -
COM Express® + GPU Embedded System (VXG/DXG)
COM Express® + GPU Embedded System (VXG/DXG) VXG Series DXG Series Connect Tech Inc. Tel: 519-836-1291 42 Arrow Road Toll: 800-426-8979 (North America only) Guelph, Ontario Fax: 519-836-4878 N1K 1S6 Email: [email protected] www.connecttech.com [email protected] CTIM-00409 Revision 0.12 2018-03-16 COM Express® + GPU Embedded System (VXG/DXG) Users Guide www.connecttech.com Table of Contents Preface ................................................................................................................................................... 4 Disclaimer ....................................................................................................................................................... 4 Customer Support Overview ........................................................................................................................... 4 Contact Information ........................................................................................................................................ 4 One Year Limited Warranty ............................................................................................................................ 5 Copyright Notice ............................................................................................................................................. 5 Trademark Acknowledgment .......................................................................................................................... 5 ESD Warning ................................................................................................................................................. -
Arxiv:1303.1588V2 [Physics.Hist-Ph] 8 Jun 2015 4.4 Errors in the Article
Translation of an article by Paul Drude in 1904 Translation by A. J. Sederberg1;∗ (pp. 512{519, 560{561), J. Burkhart2;y (pp. 519{527), and F. Apfelbeck3;z (pp. 528{560) Discussion by B. H. McGuyer1;x 1Department of Physics, Princeton University, Princeton, New Jersey 08544, USA 2Department of Physics, Columbia University, 538 West 120th Street, New York, NY 10027-5255, USA June 9, 2015 Abstract English translation of P. Drude, Annalen der Physik 13, 512 (1904), an article by Paul Drude about Tesla transformers and wireless telegraphy. Includes a discussion of the derivation of an equivalent circuit and the prediction of nonreciprocal mutual inductance for Tesla transformers in the article, which is supplementary material for B. McGuyer, PLoS ONE 9, e115397 (2014). Contents 1 Introduction 2 2 Bibliographic information 2 3 Translation 3 I. Definition and Integration of the Differential Equations . .3 Figure 1 . .5 II. The Magnetic Coupling is Very Small . .9 III. Measurement of the Period and the Damping . 12 IV. The Magnetic Coupling is Not Very Small . 19 VII. Application to Wireless Telegraphy . 31 Figure 2 . 32 Figure 3 . 33 Summary of Main Results . 39 4 Discussion 41 4.1 Technical glossary . 41 4.2 Hopkinson's law . 41 4.3 Equivalent circuit parameters from the article . 42 arXiv:1303.1588v2 [physics.hist-ph] 8 Jun 2015 4.4 Errors in the article . 42 4.5 Modifications to match Ls with previous work . 42 ∗Present address: Division of Biological Sciences, University of Chicago, 5812 South Ellis Avenue, Chicago, IL 60637, USA. yPresent address: Department of Microsystems and Informatics, Hochschule Kaiserslautern, Amerikastrasse 1, D-66482 Zweibr¨ucken, Germany. -
From Cell to Battery System in Bevs: Analysis of System Packing Efficiency and Cell Types
Article From Cell to Battery System in BEVs: Analysis of System Packing Efficiency and Cell Types Hendrik Löbberding 1,* , Saskia Wessel 2, Christian Offermanns 1 , Mario Kehrer 1 , Johannes Rother 3, Heiner Heimes 1 and Achim Kampker 1 1 Chair for Production Engineering of E-Mobility Components, RWTH Aachen University, 52064 Aachen, Germany; c.off[email protected] (C.O.); [email protected] (M.K.); [email protected] (H.H.); [email protected] (A.K.) 2 Fraunhofer IPT, 48149 Münster, Germany; [email protected] 3 Faculty of Mechanical Engineering, RWTH Aachen University, 52072 Aachen, Germany; [email protected] * Correspondence: [email protected] Received: 7 November 2020; Accepted: 4 December 2020; Published: 10 December 2020 Abstract: The motivation of this paper is to identify possible directions for future developments in the battery system structure for BEVs to help choosing the right cell for a system. A standard battery system that powers electrified vehicles is composed of many individual battery cells, modules and forms a system. Each of these levels have a natural tendency to have a decreased energy density and specific energy compared to their predecessor. This however, is an important factor for the size of the battery system and ultimately, cost and range of the electric vehicle. This study investigated the trends of 25 commercially available BEVs of the years 2010 to 2019 regarding their change in energy density and specific energy of from cell to module to system. Systems are improving. However, specific energy is improving more than energy density.