A Lisp Oriented Architecture by John W.F
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Implementation of Optimized CORDIC Designs
IJIRST –International Journal for Innovative Research in Science & Technology| Volume 1 | Issue 3 | August 2014 ISSN(online) : 2349-6010 Implementation of Optimized CORDIC Designs Bibinu Jacob Reenesh Zacharia M Tech Student Assistant Professor Department of Electronics & Communication Engineering Department of Electronics & Communication Engineering Mangalam College Of Engineering, Ettumanoor Mangalam College Of Engineering, Ettumanoor Abstract CORDIC stands for COordinate Rotation DIgital Computer, which is likewise known as Volder's algorithm and digit-by-digit method. It is a simple and effective method to calculate many functions like trigonometric, hyperbolic, logarithmic etc. It performs complex multiplications using simple shifts and additions. It finds applications in robotics, digital signal processing, graphics, games, and animation. But, there isn't any optimized CORDIC designs for rotating vectors through specific angles. In this paper, optimization schemes and CORDIC circuits for fixed and known rotations are proposed. Finally an argument reduction technique to map larger angle to an angle less than 45 is discussed. The proposed CORDIC cells are simulated by Xilinx ISE Design Suite and shown that the proposed designs offer less latency and better device utilization than the reference CORDIC design for fixed and known angles of rotation. Keywords: Coordinate rotation digital computer (CORDIC), digital signal processing (DSP) chip, very large scale integration (VLSI) _______________________________________________________________________________________________________ I. INTRODUCTION The advances in the very large scale integration (VLSI) technology and the advent of electronic design automation (EDA) tools have been directing the current research in the areas of digital signal processing (DSP), communications, etc. in terms of the design of high speed VLSI architectures for real-time algorithms and systems which have applications in the above mentioned areas. -
Master's Thesis
Implementation of the Metal Privileged Architecture by Fatemeh Hassani A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Masters of Mathematics in Computer Science Waterloo, Ontario, Canada, 2020 c Fatemeh Hassani 2020 Author's Declaration I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii Abstract The privileged architecture of modern computer architectures is expanded through new architectural features that are implemented in hardware or through instruction set extensions. These extensions are tied to particular architecture and operating system developers are not able to customize the privileged mechanisms. As a result, they have to work around fixed abstractions provided by processor vendors to implement desired functionalities. Programmable approaches such as PALcode also remain heavily tied to the hardware and modifying the privileged architecture has to be done by the processor manufacturer. To accelerate operating system development and enable rapid prototyping of new operating system designs and features, we need to rethink the privileged architecture design. We present a new abstraction called Metal that enables extensions to the architecture by the operating system. It provides system developers with a general-purpose and easy- to-use interface to build a variety of facilities that range from performance measurements to novel privilege models. We implement a simplified version of the Alpha architecture which we call µAlpha and build a prototype of Metal on this architecture. -
An Implementation of Python for Racket
An Implementation of Python for Racket Pedro Palma Ramos António Menezes Leitão INESC-ID, Instituto Superior Técnico, INESC-ID, Instituto Superior Técnico, Universidade de Lisboa Universidade de Lisboa Rua Alves Redol 9 Rua Alves Redol 9 Lisboa, Portugal Lisboa, Portugal [email protected] [email protected] ABSTRACT Keywords Racket is a descendent of Scheme that is widely used as a Python; Racket; Language implementations; Compilers first language for teaching computer science. To this end, Racket provides DrRacket, a simple but pedagogic IDE. On the other hand, Python is becoming increasingly popular 1. INTRODUCTION in a variety of areas, most notably among novice program- The Racket programming language is a descendent of Scheme, mers. This paper presents an implementation of Python a language that is well-known for its use in introductory for Racket which allows programmers to use DrRacket with programming courses. Racket comes with DrRacket, a ped- Python code, as well as adding Python support for other Dr- agogic IDE [2], used in many schools around the world, as Racket based tools. Our implementation also allows Racket it provides a simple and straightforward interface aimed at programs to take advantage of Python libraries, thus signif- inexperienced programmers. Racket provides different lan- icantly enlarging the number of usable libraries in Racket. guage levels, each one supporting more advanced features, that are used in different phases of the courses, allowing Our proposed solution involves compiling Python code into students to benefit from a smoother learning curve. Fur- semantically equivalent Racket source code. For the run- thermore, Racket and DrRacket support the development of time implementation, we present two different strategies: additional programming languages [13]. -
Bringing GNU Emacs to Native Code
Bringing GNU Emacs to Native Code Andrea Corallo Luca Nassi Nicola Manca [email protected] [email protected] [email protected] CNR-SPIN Genoa, Italy ABSTRACT such a long-standing project. Although this makes it didactic, some Emacs Lisp (Elisp) is the Lisp dialect used by the Emacs text editor limitations prevent the current implementation of Emacs Lisp to family. GNU Emacs can currently execute Elisp code either inter- be appealing for broader use. In this context, performance issues preted or byte-interpreted after it has been compiled to byte-code. represent the main bottleneck, which can be broken down in three In this work we discuss the implementation of an optimizing com- main sub-problems: piler approach for Elisp targeting native code. The native compiler • lack of true multi-threading support, employs the byte-compiler’s internal representation as input and • garbage collection speed, exploits libgccjit to achieve code generation using the GNU Com- • code execution speed. piler Collection (GCC) infrastructure. Generated executables are From now on we will focus on the last of these issues, which con- stored as binary files and can be loaded and unloaded dynamically. stitutes the topic of this work. Most of the functionality of the compiler is written in Elisp itself, The current implementation traditionally approaches the prob- including several optimization passes, paired with a C back-end lem of code execution speed in two ways: to interface with the GNU Emacs core and libgccjit. Though still a work in progress, our implementation is able to bootstrap a func- • Implementing a large number of performance-sensitive prim- tional Emacs and compile all lexically scoped Elisp files, including itive functions (also known as subr) in C. -
The 32-Bit PA-RISC Run-Time Architecture Document, V. 1.0 for HP
The 32-bit PA-RISC Run-time Architecture Document HP-UX 11.0 Version 1.0 (c) Copyright 1997 HEWLETT-PACKARD COMPANY. The information contained in this document is subject to change without notice. HEWLETT-PACKARD MAKES NO WARRANTY OF ANY KIND WITH REGARD TO THIS MATERIAL, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. Hewlett-Packard shall not be liable for errors contained herein or for incidental or consequential damages in connection with furnishing, performance, or use of this material. Hewlett-Packard assumes no responsibility for the use or reliability of its software on equipment that is not furnished by Hewlett-Packard. This document contains proprietary information which is protected by copyright. All rights are reserved. No part of this document may be photocopied, reproduced, or translated to another language without the prior written consent of Hewlett-Packard Company. CSO/STG/STD/CLO Hewlett-Packard Company 11000 Wolfe Road Cupertino, California 95014 By The Run-time Architecture Team 32-bit PA-RISC RUN-TIME ARCHITECTURE DOCUMENT 11.0 version 1.0 -1 -2 CHAPTER 1 Introduction 7 1.1 Target Audiences 7 1.2 Overview of the PA-RISC Runtime Architecture Document 8 CHAPTER 2 Common Coding Conventions 9 2.1 Memory Model 9 2.1.1 Text Segment 9 2.1.2 Initialized and Uninitialized Data Segments 9 2.1.3 Shared Memory 10 2.1.4 Subspaces 10 2.2 Register Usage 10 2.2.1 Data Pointer (GR 27) 10 2.2.2 Linkage Table Register (GR 19) 10 2.2.3 Stack Pointer (GR 30) 11 2.2.4 Space -
Genera Workbook Using This Book Preface This Is the Document To
Genera Workbook Using This Book Preface This is the document to read when you’re ready to sit down at your Symbol- ics computer. It teaches you the initial skills you need to use the Genera system effectively. We present concepts you need to know, as well as providing exercises andactivitiesthatturnthoseconceptsintopracticalskills. The material covered in the first group of chapters in this workbook is a pre- requisite for all Symbolics Education Services Courses. However, you can com plete the second and third sections after taking your first course. Practicing the material helpsyou learn it faster. Bring this workbook to all courses you take with Symbolics. We expect that you have used a computer before; we do not expect that you have used a Symbolics computer before. You need to learn this material whether or not you are a programmer. This is not a programming textbook. We make no assumptions about your programming background or future; this work bookisforbothprogrammersandnonprogrammers. Every time we use a term for the first time, we put it in italics. If you see a term you don’t recognize, be sure to check the glossary at the end of the work book. This workbook uses Symbolics documentation conventions and a few of its own. If you see a word or phrase enclosed in brackets, like [Help], it is a menu item.We use two different conventions withrespect to Symbolics keyboard keys: in text,thekeylabelledHELPlookslikethis: HELP butinexamplesitlookslikethis: <HELP> todifferentiateitasasinglekeystrokefromthetextaroundit. It is very important to have a Symbolics computer available so that you can work through the hands-on activities, called walk-throughs. -
How Lisp Systems Look Different in Proceedings of European Conference on Software Maintenance and Reengineering (CSMR 2008)
How Lisp Systems Look Different In Proceedings of European Conference on Software Maintenance and Reengineering (CSMR 2008) Adrian Dozsa Tudor Gˆırba Radu Marinescu Politehnica University of Timis¸oara University of Berne Politehnica University of Timis¸oara Romania Switzerland Romania [email protected] [email protected] [email protected] Abstract rently used in a variety of domains, like bio-informatics (BioBike), data mining (PEPITe), knowledge-based en- Many reverse engineering approaches have been devel- gineering (Cycorp or Genworks), video games (Naughty oped to analyze software systems written in different lan- Dog), flight scheduling (ITA Software), natural language guages like C/C++ or Java. These approaches typically processing (SRI International), CAD (ICAD or OneSpace), rely on a meta-model, that is either specific for the language financial applications (American Express), web program- at hand or language independent (e.g. UML). However, one ming (Yahoo! Store or reddit.com), telecom (AT&T, British language that was hardly addressed is Lisp. While at first Telecom Labs or France Telecom R&D), electronic design sight it can be accommodated by current language inde- automation (AMD or American Microsystems) or planning pendent meta-models, Lisp has some unique features (e.g. systems (NASA’s Mars Pathfinder spacecraft mission) [16]. macros, CLOS entities) that are crucial for reverse engi- neering Lisp systems. In this paper we propose a suite of Why Lisp is Different. In spite of its almost fifty-year new visualizations that reveal the special traits of the Lisp history, and of the fact that other programming languages language and thus help in understanding complex Lisp sys- borrowed concepts from it, Lisp still presents some unique tems. -
Getting Started Computing at the Al Lab by Christopher C. Stacy Abstract
MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLI..IGENCE LABORATORY WORKING PAPER 235 7 September 1982 Getting Started Computing at the Al Lab by Christopher C. Stacy Abstract This document describes the computing facilities at the M.I.T. Artificial Intelligence Laboratory, and explains how to get started using them. It is intended as an orientation document for newcomers to the lab, and will be updated by the author from time to time. A.I. Laboratory Working Papers are produced for internal circulation. and may contain information that is, for example, too preliminary or too detailed for formal publication. It is not intended that they should be considered papers to which reference can be made in the literature. a MASACHUSETS INSTITUTE OF TECHNOLOGY 1982 Getting Started Table of Contents Page i Table of Contents 1. Introduction 1 1.1. Lisp Machines 2 1.2. Timesharing 3 1.3. Other Computers 3 1.3.1. Field Engineering 3 1.3.2. Vision and Robotics 3 1.3.3. Music 4 1,3.4. Altos 4 1.4. Output Peripherals 4 1.5. Other Machines 5 1.6. Terminals 5 2. Networks 7 2.1. The ARPAnet 7 2.2. The Chaosnet 7 2.3. Services 8 2.3.1. TELNET/SUPDUP 8 2.3.2. FTP 8 2.4. Mail 9 2.4.1. Processing Mail 9 2.4.2. Ettiquette 9 2.5. Mailing Lists 10 2.5.1. BBoards 11 2.6. Finger/Inquire 11 2.7. TIPs and TACs 12 2.7.1. ARPAnet TAC 12 2.7.2. Chaosnet TIP 13 3. -
Arithmetic and Logical Unit Design for Area Optimization for Microcontroller Amrut Anilrao Purohit 1,2 , Mohammed Riyaz Ahmed 2 and R
et International Journal on Emerging Technologies 11 (2): 668-673(2020) ISSN No. (Print): 0975-8364 ISSN No. (Online): 2249-3255 Arithmetic and Logical Unit Design for Area Optimization for Microcontroller Amrut Anilrao Purohit 1,2 , Mohammed Riyaz Ahmed 2 and R. Venkata Siva Reddy 2 1Research Scholar, VTU Belagavi (Karnataka), India. 2School of Electronics and Communication Engineering, REVA University Bengaluru, (Karnataka), India. (Corresponding author: Amrut Anilrao Purohit) (Received 04 January 2020, Revised 02 March 2020, Accepted 03 March 2020) (Published by Research Trend, Website: www.researchtrend.net) ABSTRACT: Arithmetic and Logic Unit (ALU) can be understood with basic knowledge of digital electronics and any engineer will go through the details only once. The advantage of knowing ALU in detail is two- folded: firstly, programming of the processing device can be efficient and secondly, can design a new ALU architecture as per the various constraints of the use cases. The miniaturization of digital circuits can be achieved by either reducing the size of transistor (Moore’s law) or by optimizing the gate count of the circuit. The first has been explored extensively while the latter has been ignored which deals with the application of Boolean rules and requires sound knowledge of logic design. The ultimate outcome is to have an area optimized architecture/approach that optimizes the circuit at gate level. The design of ALU is for various processing devices varies with the device/system requirements. The area optimization places a significant role in the chip design. Here in this work, we have attempted to design an ALU which is area efficient while being loaded with additional functionality necessary for microcontrollers. -
The Evolution of Lisp
1 The Evolution of Lisp Guy L. Steele Jr. Richard P. Gabriel Thinking Machines Corporation Lucid, Inc. 245 First Street 707 Laurel Street Cambridge, Massachusetts 02142 Menlo Park, California 94025 Phone: (617) 234-2860 Phone: (415) 329-8400 FAX: (617) 243-4444 FAX: (415) 329-8480 E-mail: [email protected] E-mail: [email protected] Abstract Lisp is the world’s greatest programming language—or so its proponents think. The structure of Lisp makes it easy to extend the language or even to implement entirely new dialects without starting from scratch. Overall, the evolution of Lisp has been guided more by institutional rivalry, one-upsmanship, and the glee born of technical cleverness that is characteristic of the “hacker culture” than by sober assessments of technical requirements. Nevertheless this process has eventually produced both an industrial- strength programming language, messy but powerful, and a technically pure dialect, small but powerful, that is suitable for use by programming-language theoreticians. We pick up where McCarthy’s paper in the first HOPL conference left off. We trace the development chronologically from the era of the PDP-6, through the heyday of Interlisp and MacLisp, past the ascension and decline of special purpose Lisp machines, to the present era of standardization activities. We then examine the technical evolution of a few representative language features, including both some notable successes and some notable failures, that illuminate design issues that distinguish Lisp from other programming languages. We also discuss the use of Lisp as a laboratory for designing other programming languages. We conclude with some reflections on the forces that have driven the evolution of Lisp. -
Allegro CL User Guide
Allegro CL User Guide Volume 1 (of 2) version 4.3 March, 1996 Copyright and other notices: This is revision 6 of this manual. This manual has Franz Inc. document number D-U-00-000-01-60320-1-6. Copyright 1985-1996 by Franz Inc. All rights reserved. No part of this pub- lication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means electronic, mechanical, by photocopying or recording, or otherwise, without the prior and explicit written permission of Franz incorpo- rated. Restricted rights legend: Use, duplication, and disclosure by the United States Government are subject to Restricted Rights for Commercial Software devel- oped at private expense as specified in DOD FAR 52.227-7013 (c) (1) (ii). Allegro CL and Allegro Composer are registered trademarks of Franz Inc. Allegro Common Windows, Allegro Presto, Allegro Runtime, and Allegro Matrix are trademarks of Franz inc. Unix is a trademark of AT&T. The Allegro CL software as provided may contain material copyright Xerox Corp. and the Open Systems Foundation. All such material is used and distrib- uted with permission. Other, uncopyrighted material originally developed at MIT and at CMU is also included. Appendix B is a reproduction of chapters 5 and 6 of The Art of the Metaobject Protocol by G. Kiczales, J. des Rivieres, and D. Bobrow. All this material is used with permission and we thank the authors and their publishers for letting us reproduce their material. Contents Volume 1 Preface 1 Introduction 1.1 The language 1-1 1.2 History 1-1 1.3 Format -
Knowledge Based Engineering: Between AI and CAD
Advanced Engineering Informatics 26 (2012) 159–179 Contents lists available at SciVerse ScienceDirect Advanced Engineering Informatics journal homepage: www.elsevier.com/locate/aei Knowledge based engineering: Between AI and CAD. Review of a language based technology to support engineering design ⇑ Gianfranco La Rocca Faculty of Aerospace Engineering, Delft University of Technology, Chair of Flight Performance and Propulsion, Kluyverweg 1, 2629HS Delft, The Netherlands article info abstract Article history: Knowledge based engineering (KBE) is a relatively young technology with an enormous potential for Available online 16 March 2012 engineering design applications. Unfortunately the amount of dedicated literature available to date is quite low and dispersed. This has not promoted the diffusion of KBE in the world of industry and acade- Keywords: mia, neither has it contributed to enhancing the level of understanding of its technological fundamentals. Knowledge based engineering The scope of this paper is to offer a broad technological review of KBE in the attempt to fill the current Knowledge engineering information gap. The artificial intelligence roots of KBE are briefly discussed and the main differences and Engineering design similarities with respect to classical knowledge based systems and modern general purpose CAD systems Generative design highlighted. The programming approach, which is a distinctive aspect of state-of-the-art KBE systems, is Knowledge based design Rule based design discussed in detail, to illustrate its effectiveness in capturing and re-using engineering knowledge to automate large portions of the design process. The evolution and trends of KBE systems are investigated and, to conclude, a list of recommendations and expectations for the KBE systems of the future is provided.