Address Decoding Large-Size Binary Decoder: 28-To-268435456 Binary Decoder for 256Mb Memory
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Design of 8-Bit Arithmetic Processor Unit Based on Reversible Logic by A
Global Journal of Researches in Engineering Electrical and Electronics Engineering Volume 13 Issue 10 Version 1.0 Year 2013 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 2249-4596 & Print ISSN: 0975-5861 Design of 8-Bit Arithmetic Processor Unit based on Reversible Logic By A. Kamaraj, C. Kalyana Sundaram & J. Senthil Kumar Mepco Schlenk Engineering College, India Abstract - Reversible logic is emerging as an important research area in the recent years due to its ability to reduce the power dissipation, which is the main requirement in low power digital design. Energy dissipation is proportional to the number of bits lost during computation. The reversible circuits do not lose information and can generate unique outputs from specified inputs and vice versa. It has application in diverse fields such as low power CMOS design, optical information processing, cryptography, quantum computation and nanotechnology. This paper proposes a reversible design of an 8 -bit arithmetic processor. The architecture of the processor has been proposed, in which, each block is realized using reversible logic gates. The important blocks of the processor are control unit, arithmetic and logical unit and register file. Each module has been coded using Verilog then simulated using Modelsim and prototyped in Xilinx- Spartan 3E. Keywords : reversible logic, reversible gate, FPGA, xilinx. GJRE-F Classification : FOR Code: 290901 Design of 8-Bit ArithmeticProcessor Unit based on ReversibleLogic Strictly as per the compliance and regulations of : © 2013. A. Kamaraj, C. Kalyana Sundaram & J. Senthil Kumar. This is a research/review paper, distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License http://creativecommons.org/licenses/by-nc/3.0/), permitting all non commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. -
Computer Architecture (BCA Part-I)
Biyani's Think Tank Concept based notes Computer Architecture (BCA Part-I) Micky Haldya Revised By: Jyoti Sharma Deptt. of Information Technology Biyani Girls College, Jaipur 2 Published by : Think Tanks Biyani Group of Colleges Concept & Copyright : Biyani Shikshan Samiti Sector-3, Vidhyadhar Nagar, Jaipur-302 023 (Rajasthan) Ph : 0141-2338371, 2338591-95 Fax : 0141-2338007 E-mail : [email protected] Website :www.gurukpo.com; www.biyanicolleges.org ISBN: 978-93-81254-38-0 Edition : 2011 Price : While every effort is taken to avoid errors or omissions in this Publication, any mistake or omission that may have crept in is not intentional. It may be taken note of that neither the publisher nor the author will be responsible for any damage or loss of any kind arising to anyone in any manner on account of such errors and omissions. Leaser Type Setted by : Biyani College Printing Department For More Details: - www.gurukpo.com Computer Architecture 3 Preface am glad to present this book, especially designed to serve the needs of the I students. The book has been written keeping in mind the general weakness in understanding the fundamental concepts of the topics. The book is self-explanatory and adopts the “Teach Yourself” style. It is based on question-answer pattern. The language of book is quite easy and understandable based on scientific approach. Any further improvement in the contents of the book by making corrections, omission and inclusion is keen to be achieved based on suggestions from the readers for which the author shall be obliged. I acknowledge special thanks to Mr. -
Intel ® Atom™ Processor E6xx Series SKU for Different Segments” on Page 30 Updated Table 15
Intel® Atom™ Processor E6xx Series Datasheet July 2011 Revision 004US Document Number: 324208-004US INFORMATIONLegal Lines and Disclaimers IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL® PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTEL’S TERMS AND CONDITIONS OF SALE FOR SUCH PRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER, AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO SALE AND/OR USE OF INTEL PRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT. UNLESS OTHERWISE AGREED IN WRITING BY INTEL, THE INTEL PRODUCTS ARE NOT DESIGNED NOR INTENDED FOR ANY APPLICATION IN WHICH THE FAILURE OF THE INTEL PRODUCT COULD CREATE A SITUATION WHERE PERSONAL INJURY OR DEATH MAY OCCUR. Intel may make changes to specifications and product descriptions at any time, without notice. Designers must not rely on the absence or characteristics of any features or instructions marked “reserved” or “undefined.” Intel reserves these for future definition and shall have no responsibility whatsoever for conflicts or incompatibilities arising from future changes to them. The information here is subject to change without notice. Do not finalize a design with this information. The products described in this document may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request. Contact your local Intel sales office or your distributor to obtain the latest specifications and before placing your product order. -
Adding Support for Vector Instructions to 8051 Architecture
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 10 | Oct 2018 www.irjet.net p-ISSN: 2395-0072 Adding Support for Vector Instructions to 8051 Architecture Pulkit Gairola1, Akhil Alluri2, Rohan Verma3, Dr. Rajeev Kumar Singh4 1,2,3Student, Dept. of Computer Science, Shiv Nadar University, Uttar, Pradesh, India, 4Assistant Dean & Professor, Dept. of Computer Science, Shiv Nadar University, Uttar, Pradesh, India, ----------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Majority of the IoT (Internet of Things) devices are Some of the features that have made the 8051 popular are: meant to just collect data and sent it to the cloud for processing. They can be provided with such vectorization • 4 KB on chip program memory. capabilities to carry out very specific computation work and • 128 bytes on chip data memory (RAM) thus reducing latency of output. This project is used to demonstrate how to add specialized 1.2 Components of 8051[2] vectorization capabilities to architectures found in micro- controllers. • 4 register banks. • 128 user defined software flags. The datapath of the 8051 is simple enough to be pliable • 8-bit data bus for adding an experimental Vectorization module. We are • 16-bit address bus trying to make changes to an existing scalar processor so • 16 bit timers (usually 2, but may have more, or less). that it use a single instruction to operate on one- dimensional • 3 internal and 2 external interrupts. arrays of data called vectors. The significant reduction in the • Bit as well as byte addressable RAM area of 16 bytes. Instruction fetch overhead for vectorizable operations is useful • Four 8-bit ports, (short models have two 8-bit ports). -
Datasheet, Volume 2
Intel® Core™ i7-900 Desktop Processor Extreme Edition Series and Intel® Core™ i7-900 Desktop Processor Series on 32-nm Process Datasheet, Volume 2 July 2010 Reference Number: 323253-002 INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL® PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTEL'S TERMS AND CONDITIONS OF SALE FOR SUCH PRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER, AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO SALE AND/OR USE OF INTEL PRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT. Intel products are not intended for use in medical, life saving, or life sustaining applications. Intel may make changes to specifications and product descriptions at any time, without notice. Designers must not rely on the absence or characteristics of any features or instructions marked “reserved” or “undefined.” Intel reserves these for future definition and shall have no responsibility whatsoever for conflicts or incompatibilities arising from future changes to them. The Intel® Core™ i7-900 desktop processor Extreme Edition series and Intel® Core™ i7-900 desktop processor series on 32-nm process may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request. Intel processor numbers are not a measure of performance. Processor numbers differentiate features within each processor family, not across different processor families. See http://www.intel.com/products/processor_number for details. -
MPC500 Family MPC509 User's Manual
MPC509UM/AD MPC500 Family MPC509 User’s Manual Paragraph TABLE OF CONTENTS Page Number Number PREFACE Section 1 INTRODUCTION 1.1 Features. 1-1 1.2 Block Diagram . 1-2 1.3 Pin Connections. 1-3 1.4 Memory Map . 1-5 Section 2 SIGNAL DESCRIPTIONS 2.1 Pin List . 2-1 2.2 Pin Characteristics . 2-2 2.3 Power Connections . 2-3 2.4 Pins with Internal Pull-Ups and Pulldowns. 2-3 2.5 Signal Descriptions . 2-4 2.5.1 Bus Arbitration and Reservation Support Signals . 2-6 2.5.1.1 Bus Request (BR). 2-6 2.5.1.2 Bus Grant (BG). 2-7 2.5.1.3 Bus Busy (BB) . 2-8 2.5.1.4 Cancel Reservation (CR) . 2-8 2.5.2 Address Phase Signals . 2-8 2.5.2.1 Address Bus (ADDR[0:29]). 2-9 2.5.2.2 Write/Read (WR) . 2-9 2.5.2.3 Burst Indicator (BURST). 2-9 2.5.2.4 Byte Enables (BE[0:3]) . 2-10 2.5.2.5 Transfer Start (TS) . 2-10 2.5.2.6 Address Acknowledge (AACK). 2-10 2.5.2.7 Burst Inhibit (BI) . 2-11 2.5.2.8 Address Retry (ARETRY). 2-12 2.5.2.9 Address Type (AT[0:1]) . 2-12 2.5.2.10 Cycle Types (CT[0:3]). 2-13 2.5.3 Data Phase Signals . 2-13 2.5.3.1 Data Bus (DATA[0:31]). 2-13 2.5.3.2 Burst Data in Progress (BDIP) . -
Introduction to CUDA Programming
Προηγμένη Αρχιτεκτονική Υπολογιστών Non-Uniform Cache Architectures Νεκτάριος Κοζύρης & Διονύσης Πνευματικάτος {nkoziris,pnevmati}@cslab.ece.ntua.gr Διαφάνειες από τον Ανδρέα Μόσχοβο, University of Toronto 8ο εξάμηνο ΣΗΜΜΥ ⎯ Ακαδημαϊκό Έτος: 2019-20 http://www.cslab.ece.ntua.gr/courses/advcomparch/ Modern Processors Have Lots of Cores and Large Caches • Sun Niagara T1 From http://jinsatoh.jp/ennui/archives/2006/03/opensparc.html Modern Processors Have Lots of Cores and Large Caches • Intel i7 (Nehalem) From http://www.legitreviews.com/article/824/1/ Modern Processors Have Lots of Cores and Large Caches • AMD Shanghai From http://www.chiparchitect.com Modern Processors Have Lots of Cores and Large Caches • IBM Power 5 From http://www.theinquirer.net/inquirer/news/1018130/ibms-power5-the-multi-chipped-monster-mcm-revealed Why? • Helps with Performance and Energy • Find graph with perfect vs. realistic memory system What Cache Design Used to be About Core L1I L1D 1-3 cycles / Latency Limited L2 10-16 cycles / Capacity Limited Main Memory > 200 cycles • L2: Worst Latency == Best Latency • Key Decision: What to keep in each cache level What Has Changed ISSCC 2003 What Has Changed • Where something is matters • More time for longer distances NUCA: Non-Uniform Cache Architecture Core L1I L1D • Tiled Cache • Variable Latency L2 L2 L2 L2 • Closer tiles = Faster L2 L2 L2 L2 L2 L2 L2 L2 • Key Decisions: – Not only what to cache L2 L2 L2 L2 – Also where to cache NUCA Overview • Initial Research focused on Uniprocessors • Data Migration Policies – -
Covert and Side Channels Due to Processor Architecture*
Covert and Side Channels due to Processor Architecture* Zhenghong Wang and Ruby B. Lee Department of Electrical Engineering, Princeton University {zhenghon,rblee}@princeton.edu Abstract analysis [2-5] and timing analysis [6-10]. Different amounts of power (or time) used by the device in Information leakage through covert channels and performing an encryption can be measured and side channels is becoming a serious problem, analyzed to deduce some or all of the key bits. The especially when these are enhanced by modern number of trials needed in a power or timing side processor architecture features. We show how channel attack could be much less than that needed in processor architecture features such as simultaneous mathematical cryptanalysis. multithreading, control speculation and shared caches In this paper, we consider software side channel can inadvertently accelerate such covert channels or attacks. In these attacks, a victim process inadvertently enable new covert channels and side channels. We first assumes the role of the sending process, and a listening illustrate the reality and severity of this problem by (attacker) process assumes the role of the receiving describing concrete attacks. We identify two new process. If the victim process is performing an covert channels. We show orders of magnitude encryption using a secret key, a software side channel increases in covert channel capacities. We then attack allows the listening process to get information present two solutions, Selective Partitioning and the that leads to partial or full recovery of the key. The novel Random Permutation Cache (RPCache). The main contributions of this paper are: RPCache can thwart most cache-based software side • Identification of two new covert channels due to channel attacks, with minimal hardware costs and processor architecture features, like simultaneous negligible performance impact. -
Special Address Generation Arrangement
Patentamt 0 034 1 80 ® êJEuropâischesy))} European Patent Office ® Publication number: Office européen des brevets B1 ® EUROPEAN PATENT SPECIFICATION (§) Dateof publication of patent spécification: 31.10.84 ® Int. Cl.3: G 06 F 9/32 ® Application number: 80901823.7 (22) Date offiling: 11.08.80 (88) International application number: PCT/US80/01017 (87) International publication number: WO 81/00633 05.03.81 Gazette 81/06 @ SPECIAL ADDRESS GENERATION ARRANGEMENT. (§) Priority: 31.08.79 US 71717 (73) Proprietor: Western Electric Company, Incorporated 222 Broadway (43) Date of publication of application: New York, NY 10038 (US) 26.08.81 Bulletin 81/34 (72) Inventor: HUANG, Victor Kuo-Liang (45) Publication of the grant of the patent: 2246 Jersey Avenue 31.10.84 Bulletin 84/44 Scotch Plains, NJ 07090 (US) © Designated Contracting States: (74) Représentative: Weitzel, David Stanley et al DE FR GB NL Western Electric Company Limited 5, Mornington Road Woodford Green Essex IG8 0TU (GB) Références cited: FR-A-1 564 476 US-A-3 297 998 Références cited: US-A-3 343134 IBM TECHNICAL DISCLOSURE BULLETIN, vol. US-A-3 394 350 17, no. 7, december 1974 New York (US) T.G. CÛ US-A-3 533 076 ARTHUR et ai.: "Direct access for text US-A-3 593 313 memory move", pages 1852-1853 o US-A-3 739 345 IBM TECHNICAL DISCLOSURE BULLETIN, vol. US-A-4 00 065 810 19, no. 1,june1976 New York (US) T.J. US-A-4 080 650 DVORAK et al.: "Hardware assist for microcode "An Introduction to IVlicrocomputers Volume I", exécution of storage-to-storage move issued 1976 A. -
Low Overhead Memory Subsystem Design for a Multicore Parallel DSP Processor
Linköping Studies in Science and Technology Dissertation No. 1532 Low Overhead Memory Subsystem Design for a Multicore Parallel DSP Processor Jian Wang Department of Electrical Engineering Linköping University SE-581 83 Linköping, Sweden Linköping 2014 ISBN 978-91-7519-556-8 ISSN 0345-7524 ii Low Overhead Memory Subsystem Design for a Multicore Parallel DSP Processor Jian Wang ISBN 978-91-7519-556-8 Copyright ⃝c Jian Wang, 2014 Linköping Studies in Science and Technology Dissertation No. 1532 ISSN 0345-7524 Department of Electrical Engineering Linköping University SE-581 83 Linköping Sweden Phone: +46 13 28 10 00 Author e-mail: [email protected] Cover image Combined Star and Ring onchip interconnection of the ePUMA multicore DSP. Parts of this thesis are reprinted with permission from the IEEE. Printed by UniTryck, Linköping University Linköping, Sweden, 2014 Abstract The physical scaling following Moore’s law is saturated while the re- quirement on computing keeps growing. The gain from improving sili- con technology is only the shrinking of the silicon area, and the speed- power scaling has almost stopped in the last two years. It calls for new parallel computing architectures and new parallel programming meth- ods. Traditional ASIC (Application Specific Integrated Circuits) hardware has been used for acceleration of Digital Signal Processing (DSP) subsys- tems on SoC (System-on-Chip). Embedded systems become more com- plicated, and more functions, more applications, and more features must be integrated in one ASIC chip to follow up the market requirements. At the same time, the product lifetime of a SoC with ASIC has been much reduced because of the dynamic market. -
The Memory System
The Memory System Fundamental Concepts Some basic concepts Maximum size of the Main Memory byte-addressable CPU-Main Memory Connection Memory Processor k-bit address bus MAR n-bit data bus Up to 2k addressable MDR locations Word length = n bits Control lines ( R / W , MFC, etc.) Some basic concepts(Contd.,) Measures for the speed of a memory: . memory access time. memory cycle time. An important design issue is to provide a computer system with as large and fast a memory as possible, within a given cost target. Several techniques to increase the effective size and speed of the memory: . Cache memory (to increase the effective speed). Virtual memory (to increase the effective size). The Memory System Semiconductor RAM memories Internal organization of memory chips Each memory cell can hold one bit of information. Memory cells are organized in the form of an array. One row is one memory word. All cells of a row are connected to a common line, known as the “word line”. Word line is connected to the address decoder. Sense/write circuits are connected to the data input/output lines of the memory chip. Internal organization of memory chips (Contd.,) 7 7 1 1 0 0 W0 • • • FF FF A 0 W • • 1 • A 1 Address • • • • • • Memory decoder cells A • • • • • • 2 • • • • • • A 3 W • • 15 • Sense / Write Sense / Write Sense / Write R / W circuit circuit circuit CS Data input /output lines: b7 b1 b0 SRAM Cell Two transistor inverters are cross connected to implement a basic flip-flop. The cell is connected to one word line and two bits lines by transistors T1 and T2 When word line is at ground level, the transistors are turned off and the latch retains its state Read operation: In order to read state of SRAM cell, the word line is activated to close switches T1 and T2. -
Modeling and Implementation of a 6-Bit, 50Mhz Pipelined ADC in CMOS
Qazi Omar Farooq Omar Qazi Modeling and Implementation of A 6- Bit, 50MHz Pipelined ADC in CMOS Master’s Thesis Modeling and Implementation of A 6-Bit, 50MHz Pipelined ADC in CMOS Qazi Omar Farooq Series of Master’s theses Department of Electrical and Information Technology LU/LTH-EIT 2016-549 http://www.eit.lth.se Department of Electrical and Information Technology, Faculty of Engineering, LTH, Lund University, 2016. Master’s Thesis Modeling and Implementation of A 6- Bit, 50MHz Pipelined ADC in CMOS By QAZI OMAR FAROOQ Department of Electrical and Information Technology Faculty of Engineering, LTH, Lund University SE-221 00 Lund, Sweden Abstract The pipelined ADC is a popular Nyquist-rate data converter due to its attractive feature of maintaining high accuracy at high conversion rate with low complexity and power consumption. The rapid growth of its application such as mobile system, digital video and high speed data acquisition is driving the pipelined ADC design towards higher speed, higher precision with lower supply voltage and power consumption. This thesis project aims at modeling and implementation of a pipelined ADC with high speed and low power consumption. 2 Acknowledgements First of all, I would like to thank Almighty ALLAH for giving me the strength to complete this work. My supervisor Mr. Xiaodong Liu needs a big appreciation here because he helped me at every stage of my work. Whenever I found myself stuck in a problem he helped me and gave me some very useful suggestion which proved very helpful to me. Without his constant support and guidance this work wouldn’t be completed.