Generalization of the Landauer Principle for Computing Devices Based on Many-Valued Logic
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Arxiv:1611.03715V1 [Cs.OH] 25 Oct 2016
On the optimality of ternary arithmetic for compactness and hardware designI Harris V. Georgiou (MSc, PhD)1,1 aDepartment of Informatics & Telecommunications (DIT), National Kapodistrian University of Athens (NKUA/UoA), Greece Abstract In this paper, the optimality of ternary arithmetic is investigated under strict mathematical formulation. The arithmetic systems are presented in generic form, as the means to encode numeric values, and the choice of radix is asserted as the main parameter to assess the efficiency of the representation, in terms of information compactness and estimated implementation cost in hardware. Using proper formulations for the optimization task, the universal constant e (base of natural logarithms) is proven as the most efficient radix and ternary is asserted as the closest integer choice. Keywords: arithmetic systems, ternary arithmetic, computer technology 1. Introduction The term arithmetic system refers to the way a number is represented as a sequence of symbols associated with a specific power series. More specifically, a radix r is selected as the the base of the arithmetic system and every number is expressed as a sum of powers of this radix. As humans, we learn to count in the decimal arithmetic system, i.e., using powers of 10, purely for practical reasons. Children learn basic arithmetic by using their ten fingers, thus each time they count to 10, a carrier is created and added to the next power index. For example, the number 1,234 is actually a shortcut to the full representation: 3 2 1 0 arXiv:1611.03715v1 [cs.OH] 25 Oct 2016 123410 = 1 · 1:000 + 2 · 100 + 3 · 10 + 4 = 1 · 10 + 2 · 10 + 3 · 10 + 4 · 10 The proper representation of the number orders the coefficients for each radix power in left-to-right ranking and includes a subscript displaying the radix. -
Numbers and Calculators ARCHI 2019 Summit 2,397,824 Cores 2,801,664 GB Mem 200,795 Tflop/S
Numbers and Calculators ARCHI 2019 Summit 2,397,824 Cores 2,801,664 GB mem 200,795 TFlop/s 13,000,000 W 200,000,000 $ Summit MareNostrum P9 CTE 2,397,824 Cores 19,440 Cores 2,801,664 GB mem 27,648 GB mem 200,795 TFlop/s 1,018 TFlop/s 13,000,000 W 85,000 W 200,000,000 $ 34,000,000 € Summit MareNostrum P9 CTE 2,397,824 Cores 19,440 Cores 2,801,664 GB mem 27,648 GB mem Version N°3 200,795 TFlop/s 1,018 TFlop/s 38 PFlop/s 13,000,000 W 85,000 W 20 Watts 200,000,000 $ 34,000,000 € 30,000 € Summit MareNostrum P9 CTE 2,397,824 Cores 19,440 Cores 2,801,664 GB mem 27,648 GB mem Version N°3 200,795 TFlop/s 1,018 TFlop/s 38 PFlop/s 13,000,000 W 85,000 W 20 Watts 200,000,000 $ 34,000,000 € 30,000 € Outline 1.Analogic computation 2.Computer’s Zoo 3.A few words about gate 4.How to use transistors 5.Number’s representation Outline 1.Analogic computation 2.Computer’s Zoo 3.A few words about gate 4.How to use transistors 5.Number’s representation Numbers in continuous space: Analog computer • Uses continuous property of physical phenomena (electrical, mechanical, hydraulic) • Resilient to quantization noise But subject to physical noise (electronic, °C, …) • Can be more powerful than digital computer • Dominant in HPC until the 70s • Example: • Used for the Apollo 11 mission • Tide-Prediction machine (William & James Thomson) Alternatives to numerical computer • Human Brain • 38 PetaFlops, 20 Watts • Analog computer • Not program by algorithm no need to store, fetch, decode instructions and operand • Hybrid digital / analog computer • Complement their digital counterparts in solving equations relevant in: Biology, fluid dynamics, weather prediction, quantum chemistry, plasma physics, … Toward an hybrid analog co-processor Telefunken RA770 • System configured by the equations similar to the targeted system and allow variables in the analog computer to evolve with time • Analog computer to provide a quick approximation • Digital computer for programming, storage and precision • Example 2 diff. -
Simulating a Balanced Ternary Ripple Carry Adder in Systemc: an Overview of an Under-Represented Radix
Bachelor Informatica Simulating a balanced ternary ripple carry adder in SystemC: an overview of an under-represented radix Brasso Kattenberg June 16, 2020 Informatica | Universiteit van Amsterdam Supervisor(s): Anthony van Inge Signed: Signees Abstract Binary computers are ubiquitous, but progress is slowing down. [23] This paper poses the balanced ternary base as an alternative and evaluates its merits as compared to binary with regards to transistor usage, and therefor latency, power usage; and construction complexity. A ternary trit represents more information than a binary bit by a factor of roughly 1.58. An overview of the timeline of this particular signed-digit base is given, as well as a comparison between binary and (balanced) ternary adder circuits. A balanced ternary ripple carry adder is simulated using SystemC to aid the evaluation. Quote Your computer uses ones and zeros to represent data. There's no real reason for be the basic unit of information in a computer to be only a one or zero, though. It's a historical choice that is common because of convention, like driving on one side of the road or having right-hand threads on bolts and screws. In fact, computers can be more efficient if they're built using different number systems. Base 3, or ternary, computing is more efficient at computation and actually makes the design of the computer easier. (...) Hackaday 2 Contents 1 Introduction 5 1.1 Research questions . .6 2 Timeline overview of past pursuits 7 3 Theoretical advantages of the balanced ternary radix 11 3.1 Radix economy . 11 3.1.1 Positional numeral system . -
16 Investigation of Multiple-Valued Logic Technologies
Investigation of Multiple-valued Logic Technologies for Beyond-binary Era ZARIN TASNIM SANDHIE, JILL ARVINDBHAI PATEL, FARID UDDIN AHMED, and MASUD H. CHOWDHURY, University of Missouri–Kansas City Computing technologies are currently based on the binary logic/number system, which is dependent on the simple on and off switching mechanism of the prevailing transistors. With the exponential increase ofdata processing and storage needs, there is a strong push to move to a higher radix logic/number system that can eradicate or lessen many limitations of the binary system. Anticipated saturation of Moore’s law and the necessity to increase information density and processing speed in the future micro and nanoelectronic circuits and systems provide a strong background and motivation for the beyond-binary logic system. In this review article, different technologies for Multiple-valued-Logic (MVL) devices and the associated prospects and constraints are discussed. The feasibility of the MVL system in real-world applications rests on resolving two major challenges: (i) development of an efficient mathematical approach to implement the MVL logic using available technologies, and (ii) availability of effective synthesis techniques. This review of different technologies for the MVL system is intended to perform a comprehensive investigation of various MVL tech- nologies and a comparative analysis of the feasible approaches to implement MVL devices, especially ternary logic. CCS Concepts: • General and reference → Surveys and overviews;•Hardware → Circuit -
Fundamental Concept of Ternary Logic a P Dhande, V T Ingole And
SMGr up Title: Ternary Digital System: Concepts and Applications Authors: A P Dhande, V T Ingole, V R Ghiye Published by SM Online Publishers LLC Copyright © 2014 SM Online Publishers LLC ISBN: 978-0-9962745-0-0 All book chapters are Open Access distributed under the Creative Commons Attribution 3.0 license, which allows users to download, copy and build upon published articles even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of the publication. Upon publication of the eBook, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work, identifying the original source. Statements and opinions expressed in the book are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published chapters. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book. First published October, 2014 Online Edition available at www.smgebooks.com For reprints, please contact us at [email protected] Ternary Digital System: Concepts and Applications | www.smgebooks.com 1 SMGr up CHAPTER 1 Fundamental Concept of Ternary Logic INTRODUCTION The fundament of today’s digital technology age is binary logic. The time when Shannon expressed the behavior of electrical switches in Boolean algebra, he overlay the ramp to an industrial development which is recognized as beginning of one of the most revolutionary economic changes ever.