Systemverilog 3.1A Language Reference Manual
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Programming for Engineers Pointers in C Programming: Part 02
Programming For Engineers Pointers in C Programming: Part 02 by Wan Azhar Wan Yusoff1, Ahmad Fakhri Ab. Nasir2 Faculty of Manufacturing Engineering [email protected], [email protected] PFE – Pointers in C Programming: Part 02 by Wan Azhar Wan Yusoff and Ahmad Fakhri Ab. Nasir 0.0 Chapter’s Information • Expected Outcomes – To further use pointers in C programming • Contents 1.0 Pointer and Array 2.0 Pointer and String 3.0 Pointer and dynamic memory allocation PFE – Pointers in C Programming: Part 02 by Wan Azhar Wan Yusoff and Ahmad Fakhri Ab. Nasir 1.0 Pointer and Array • We will review array data type first and later we will relate array with pointer. • Previously, we learn about basic data types such as integer, character and floating numbers. In C programming language, if we have 5 test scores and would like to average the scores, we may code in the following way. PFE – Pointers in C Programming: Part 02 by Wan Azhar Wan Yusoff and Ahmad Fakhri Ab. Nasir 1.0 Pointer and Array PFE – Pointers in C Programming: Part 02 by Wan Azhar Wan Yusoff and Ahmad Fakhri Ab. Nasir 1.0 Pointer and Array • This program is manageable if the scores are only 5. What should we do if we have 100,000 scores? In such case, we need an efficient way to represent a collection of similar data type1. In C programming, we usually use array. • Array is a fixed-size sequence of elements of the same data type.1 • In C programming, we declare an array like the following statement: PFE – Pointers in C Programming: Part 02 by Wan Azhar Wan Yusoff and Ahmad Fakhri Ab. -
C Programming: Data Structures and Algorithms
C Programming: Data Structures and Algorithms An introduction to elementary programming concepts in C Jack Straub, Instructor Version 2.07 DRAFT C Programming: Data Structures and Algorithms, Version 2.07 DRAFT C Programming: Data Structures and Algorithms Version 2.07 DRAFT Copyright © 1996 through 2006 by Jack Straub ii 08/12/08 C Programming: Data Structures and Algorithms, Version 2.07 DRAFT Table of Contents COURSE OVERVIEW ........................................................................................ IX 1. BASICS.................................................................................................... 13 1.1 Objectives ...................................................................................................................................... 13 1.2 Typedef .......................................................................................................................................... 13 1.2.1 Typedef and Portability ............................................................................................................. 13 1.2.2 Typedef and Structures .............................................................................................................. 14 1.2.3 Typedef and Functions .............................................................................................................. 14 1.3 Pointers and Arrays ..................................................................................................................... 16 1.4 Dynamic Memory Allocation ..................................................................................................... -
Data Structure
EDUSAT LEARNING RESOURCE MATERIAL ON DATA STRUCTURE (For 3rd Semester CSE & IT) Contributors : 1. Er. Subhanga Kishore Das, Sr. Lect CSE 2. Mrs. Pranati Pattanaik, Lect CSE 3. Mrs. Swetalina Das, Lect CA 4. Mrs Manisha Rath, Lect CA 5. Er. Dillip Kumar Mishra, Lect 6. Ms. Supriti Mohapatra, Lect 7. Ms Soma Paikaray, Lect Copy Right DTE&T,Odisha Page 1 Data Structure (Syllabus) Semester & Branch: 3rd sem CSE/IT Teachers Assessment : 10 Marks Theory: 4 Periods per Week Class Test : 20 Marks Total Periods: 60 Periods per Semester End Semester Exam : 70 Marks Examination: 3 Hours TOTAL MARKS : 100 Marks Objective : The effectiveness of implementation of any application in computer mainly depends on the that how effectively its information can be stored in the computer. For this purpose various -structures are used. This paper will expose the students to various fundamentals structures arrays, stacks, queues, trees etc. It will also expose the students to some fundamental, I/0 manipulation techniques like sorting, searching etc 1.0 INTRODUCTION: 04 1.1 Explain Data, Information, data types 1.2 Define data structure & Explain different operations 1.3 Explain Abstract data types 1.4 Discuss Algorithm & its complexity 1.5 Explain Time, space tradeoff 2.0 STRING PROCESSING 03 2.1 Explain Basic Terminology, Storing Strings 2.2 State Character Data Type, 2.3 Discuss String Operations 3.0 ARRAYS 07 3.1 Give Introduction about array, 3.2 Discuss Linear arrays, representation of linear array In memory 3.3 Explain traversing linear arrays, inserting & deleting elements 3.4 Discuss multidimensional arrays, representation of two dimensional arrays in memory (row major order & column major order), and pointers 3.5 Explain sparse matrices. -
Portable Stimulus: What's Coming in 1.1
Portable Stimulus: What’s Coming in 1.1 and What it Means For You Portable Stimulus Working Group PSS 1.1 Tutorial Agenda • What is PSS Introduction • Tom Fitzpatrick, • Abstract DMA model in PSS 1.0 Mentor, a Siemens Business Memory • The problem • Prabhat Gupta, AMD Allocation • New PSS concepts Higher-Level • The problem • Matan Vax, Scenarios • New constructs Cadence Design Systems • The problem • Karthick Gururaj, HSI Realization • New concepts and constructs Vayavya Labs System-Level • Portability • Hillel Miller, Synopsys Usage • Complex scenarios • Summary Special Thanks to: Conclusion • What’s next Dave Kelf, Breker Verification Systems Josh Rensch, Semifore 2 The Need for Verification Abstraction Test content authoring represents major proportion of development SIMULATION Disconnected cross-process methods Test Content • Block EMULATION • UVM tests laborious, error-prone • SoC FPGA PROTO • Hard to hit corner-cases with C tests • Post-Silicon • Disconnected diagnostic creation IP BLOCK SUBSYSTEM FULL SYSTEM Test portability, reuse, scaling, maintenance all problematic 3 Key Aspects of Portable Stimulus Capture pure Partial scenario Composable Formal Automated test Target multiple test intent description scenarios representation generation platforms of test space Separate test intent from implementation High-coverage test generation across the verification process with much less effort 4 PSS Improves Individual Verification Phases IP BLOCK SUB-SYSTEM FULL SYSTEM Create block-level (UVM) tests & Easily model system-level Generate -
Programming the Capabilities of the PC Have Changed Greatly Since the Introduction of Electronic Computers
1 www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in INTRODUCTION TO PROGRAMMING LANGUAGE Topic Objective: At the end of this topic the student will be able to understand: History of Computer Programming C++ Definition/Overview: Overview: A personal computer (PC) is any general-purpose computer whose original sales price, size, and capabilities make it useful for individuals, and which is intended to be operated directly by an end user, with no intervening computer operator. Today a PC may be a desktop computer, a laptop computer or a tablet computer. The most common operating systems are Microsoft Windows, Mac OS X and Linux, while the most common microprocessors are x86-compatible CPUs, ARM architecture CPUs and PowerPC CPUs. Software applications for personal computers include word processing, spreadsheets, databases, games, and myriad of personal productivity and special-purpose software. Modern personal computers often have high-speed or dial-up connections to the Internet, allowing access to the World Wide Web and a wide range of other resources. Key Points: 1. History of ComputeWWW.BSSVE.INr Programming The capabilities of the PC have changed greatly since the introduction of electronic computers. By the early 1970s, people in academic or research institutions had the opportunity for single-person use of a computer system in interactive mode for extended durations, although these systems would still have been too expensive to be owned by a single person. The introduction of the microprocessor, a single chip with all the circuitry that formerly occupied large cabinets, led to the proliferation of personal computers after about 1975. Early personal computers - generally called microcomputers - were sold often in Electronic kit form and in limited volumes, and were of interest mostly to hobbyists and technicians. -
Arm Cortex-M System Design Kit Technical Reference Manual
Arm® Cortex®-M System Design Kit Revision: r1p1 Technical Reference Manual Copyright © 2011, 2013, 2017 Arm Limited (or its affiliates). All rights reserved. ARM DDI 0479D (ID110617) Arm Cortex-M System Design Kit Technical Reference Manual Copyright © 2011, 2013, 2017 Arm Limited (or its affiliates). All rights reserved. Release Information The following changes have been made to this document: Change history Date Issue Confidentiality Change 14 March 2011 A Non-Confidential First release for r0p0 16 June 2011 B Non-Confidential Second release for r0p0 19 April 2013 C Non-Confidential First release for r1p0 31 October 2017 D Non-Confidential First release for r1p1 Proprietary Notice This document is protected by copyright and other related rights and the practice or implementation of the information contained in this document may be protected by one or more patents or pending patent applications. No part of this document may be reproduced in any form by any means without the express prior written permission of Arm. No license, express or implied, by estoppel or otherwise to any intellectual property rights is granted by this document unless specifically stated. Your access to the information in this document is conditional upon your acceptance that you will not use or permit others to use the information for the purposes of determining whether implementations infringe any third party patents. THIS DOCUMENT IS PROVIDED “AS IS”. ARM PROVIDES NO REPRESENTATIONS AND NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, INCLUDING, WITHOUT LIMITATION, THE IMPLIED WARRANTIES OF MERCHANTABILITY, SATISFACTORY QUALITY, NON-INFRINGEMENT OR FITNESS FOR A PARTICULAR PURPOSE WITH RESPECT TO THE DOCUMENT. -
Workshop on Post-Silicon Debug: Technologies, Methodologies, and Best Practices
Wisam Kadry – IBM Research, Haifa 7 June 2012 Workshop on Post-silicon Debug: Technologies, Methodologies, and Best Practices © 2012 IBM Corporation DAC 2012, Post-silicon Debug Workshop Thanks to Mr. Amir Nahir IBM Research – Haifa, Israel Received his BSc in computer science from Technion, IIT in 2005, and is currently pursuing his PhD there. He has been a research staff member at the IBM Research Labs in Haifa since 2006, and has spent most of his time leading the development of Threadmill – a post-silicon functional validation exerciser. Since the beginning of 2011, Amir manages the Post-Silicon Validation and Design Automation Group 2 © 2012 IBM Corporation DAC 2012, Post-silicon Debug Workshop Agenda Session I (09:00-10:30) Wisam Kadry - IBM Haifa Research Lab., Haifa, Israel Kevin Reick - IBM Corp., Austin, TX Subhasish Mitra - Stanford Univ., Stanford, CA David Erikson - Advanced Micro Devices, Fort Collins, CO Bradley Quinton - Tektronix, Inc., Vancouver, BC, Canada Break (10:30-11:00) Session II (11:00-12:30) Alan Hu - Univ. of British Columbia, Vancouver, BC, Canada Keshavan Tiruvallur - Intel Corp., Portland, OR Nagib Hakim - Intel Corp., Santa Clara, CA Valeria Bertacco - Univ. of Michigan, Ann Arbor, MI Sharad Kumar - Freescale Semiconductor, Inc., Noida, India Lunch (12:30-13:30) Panel (13:30-15:00) Moderator: Harry Foster - Mentor Graphics Corp., Plano, TX 3 © 2012 IBM Corporation DAC 2012, Post-silicon Debug Workshop More complex chips 4 © 2012 IBM Corporation DAC 2012, Post-silicon Debug Workshop Observe 5 © 2012 IBM -
Lecture Notes)
Sri Vidya College of Engineering & Technology Course Material ( Lecture Notes) Data structures can be classified as · Simple data structure · Compound data structure · Linear data structure · Non linear data structure Simple Data Structure: Simple data structure can be constructed with the help of primitive data structure. A primitive data structure used to represent the standard data types of any one of the computer languages. Variables, arrays, pointers, structures, unions, etc. are examples of primitive data structures. Compound Data structure: Compound data structure can be constructed with the help of any one of the primitive data structure and it is having a specific functionality. It can be designed by user. It can be classified as 1) Linear data structure 2) Non-linear data structure Linear data structure : Collection of nodes which are logically adjacent in which logical adjacency is maintained by pointers (or) Linear data structures can be constructed as a continuous arrangement of data elements in the memory. It can be constructed by using array data type. In the linear Data Structures the relation ship of adjacency is maintained between the Data elements. Operations applied on linear data structure : The following list of operations applied on linear data structures 1. Add an element 2. Delete an element 3. Traverse 4. Sort the list of elements CS8391 – Data Structures - Unit I Page 1 Sri Vidya College of Engineering & Technology Course Material ( Lecture Notes) 5. Search for a data element By applying one or more functionalities to create different types of data structures For example Stack, Queue, Tables, List, and Linked Lists. Non-linear data structure: Non-linear data structure can be constructed as a collection of randomly distributed set of data item joined together by using a special pointer (tag). -
UPF 1.0, UPF 2.0, UPF 2.1, UPF 3.0, and Now UPF 3.1: the Big Q “Which Is the Right Standard for My Design”?
UPF 1.0, UPF 2.0, UPF 2.1, UPF 3.0, and now UPF 3.1: The big Q “Which is the Right Standard for My Design”? Madhur Bhargava, Mentor, A Siemens Business ([email protected]) 1 Agenda • Introduction • Evolution of UPF • Challenges in Migration • Backward Compatibility • What’s new in UPF 3.1 • Semantic difference b/w standards • UPF design Guidelines • Conclusion 2 Introduction • Power Management & Verification Complexity – Complex & energy aware chips – Maximize battery life – Requiring sophisticated power management • Power Gating, Multi Voltage, DVFS, Biasing • Affect design functionality • IPs using own power management posing integration challenges – Need for power verification • HDL not equipped, Power formats share burden • Unified Power Format – Define power management – Based on Tcl – Provide HDL Interface – Information Model to capture processed data 3 Evolution of UPF • UPF 1.0 was defined by Accellera • UPF 3.0 – Focused on adding power intent to HDL – Several new capabilities added – Relatively simple concepts and commands – Updated existing concepts, viz. power • UPF 2.0 defined by IEEE states – Backward compatible with UPF 1.0 • UPF 3.1 – latest standard – Supports IP development, refinement – New commands for simulation control • UPF 2.1 – Clarification of semantics – Clarifies and enhances UPF 2.0 features – Adds a few new capabilities UPF 3.1 UPF 3.0 UPF 2.1 UPF UPF 2.0 1.0 4 New Challenges • Five UPF standards – Compatibility, Differences & Migration challenges • Starting a new design: Which UPF version to choose -
Array Data Structure
© 2014 IJIRT | Volume 1 Issue 6 | ISSN : 2349-6002 ARRAY DATA STRUCTURE Isha Batra, Divya Raheja Information Technology Dronacharya College Of Engineering, Farukhnagar,Gurgaon Abstract- In computer science, an array data structure valid index tuples and the addresses of the elements or simply an array is a data structure consisting of a (and hence the element addressing formula) are collection of elements (values or variables), each usually but not always fixed while the array is in use. identified by at least one array index or key. An array is The term array is often used to mean array data type, stored so that the position of each element can be a kind of data type provided by most high-level computed from its index tuple by a mathematical formula. The simplest type of data structure is a linear programming languages that consists of a collection array, also called one-dimensional array. For example, of values or variables that can be selected by one or an array of 10 32-bit integer variables, with indices 0 more indices computed at run-time. Array types are through 9, may be stored as 10 words at memory often implemented by array structures; however, in addresses 2000, 2004, 2008, … 2036, so that the element some languages they may be implemented by hash with index i has the address 2000 + 4 × i. The term array tables, linked lists, search trees, or other data is often used to mean array data type, a kind of data structures. The term is also used, especially in the type provided by most high-level programming description of algorithms, to mean associative array languages that consists of a collection of values or or "abstract array", a theoretical computer science variables that can be selected by one or more indices computed at run-time. -
Ieee 1076-2008 Vhdl-200X
IEEE 1076-2008 VHDL-200X By Jim Lewis, SynthWorks VHDL Training [email protected] SynthWorks IEEE 1076-2008 O IEEE VASG - VHDL-200X effort O Started in 2003 and made good technical progress O However, no $$$ for LRM editing O Accellera VHDL TSC O Took over in Fall 2005, O Prioritized IEEE proposals, O Finalized LRM text, O Completed Accellera standard in July 2006 O Vendors implemented some features and provided feedback O In Spring 2008, Accellera forwarded standard to IEEE VASG for IEEE standardization. * VHDL-2008 * Approved in September by IEEE REVCOM 2 Copyright © SynthWorks 2008 SynthWorks IEEE 1076-2008 O Biggest Language change since 1076-1993 O PSL O Expressions in port maps O IP Protection via Encryption O Read out ports O VHDL Procedural Interface - VHPI O Conditional and Selected O Type Generics assignment in sequential code O Generics on Packages O hwrite, owrite, … hread, oread O Arrays with unconstrained arrays O to_string, to_hstring, … O Records with unconstrained arrays O Sized bit string literals O Fixed Point Packages O Unary Reduction Operators O Floating Point Packages O Array/Scalar Logic Operators O Hierarchical references of signals O Slices in array aggregates O Process(all) O Stop and Finish O Simplified Case Statements O Context Declarations O Don't Care in a Case Statement O Std_logic_1164 Updates O Conditional Expression Updates O Numeric_Std Updates O Numeric_Std_Unsigned 3 Copyright © SynthWorks 2008 SynthWorks VHDL-2008 Big Ticket Items PSL O PSL has been incorporated directly into VHDL O Vunit, Vmode, -
Reference Metamodel for the EXPRESS Information Modeling Language Specification
Reference Metamodel for the EXPRESS Information Modeling Language Specification Version 1.0 - October 2010 OMG Document Number: formal/2010-10-01 Standard document URL: http://www.omg.org/spec/EXPRESS/1.0 Associated Files*: http://www.omg.org/spec/EXPRESS/20091201 * Original files: dtc/09-12-09 (cmof.xmi) Copyright © 2008, JBIC (Japan Biological Informatics Consortium) Copyright © 2010, Object Management Group, Inc. USE OF SPECIFICATION - TERMS, CONDITIONS & NOTICES The material in this document details an Object Management Group specification in accordance with the terms, conditions and notices set forth below. This document does not represent a commitment to implement any portion of this specification in any company’s products. The information contained in this document is subject to change without notice. LICENSES The companies listed above have granted to the Object Management Group, Inc. (OMG) a nonexclusive, royalty-free, paid up, worldwide license to copy and distribute this document and to modify this document and distribute copies of the modified version. Each of the copyright holders listed above has agreed that no person shall be deemed to have infringed the copyright in the included material of any such copyright holder by reason of having used the specification set forth herein or having conformed any computer software to the specification. Subject to all of the terms and conditions below, the owners of the copyright in this specification hereby grant you a fully-paid up, non-exclusive, nontransferable, perpetual, worldwide