Sony's Emotionally Charged Chip
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Mipspro C++ Programmer's Guide
MIPSproTM C++ Programmer’s Guide 007–0704–150 CONTRIBUTORS Rewritten in 2002 by Jean Wilson with engineering support from John Wilkinson and editing support from Susan Wilkening. COPYRIGHT Copyright © 1995, 1999, 2002 - 2003 Silicon Graphics, Inc. All rights reserved; provided portions may be copyright in third parties, as indicated elsewhere herein. No permission is granted to copy, distribute, or create derivative works from the contents of this electronic documentation in any manner, in whole or in part, without the prior written permission of Silicon Graphics, Inc. LIMITED RIGHTS LEGEND The electronic (software) version of this document was developed at private expense; if acquired under an agreement with the USA government or any contractor thereto, it is acquired as "commercial computer software" subject to the provisions of its applicable license agreement, as specified in (a) 48 CFR 12.212 of the FAR; or, if acquired for Department of Defense units, (b) 48 CFR 227-7202 of the DoD FAR Supplement; or sections succeeding thereto. Contractor/manufacturer is Silicon Graphics, Inc., 1600 Amphitheatre Pkwy 2E, Mountain View, CA 94043-1351. TRADEMARKS AND ATTRIBUTIONS Silicon Graphics, SGI, the SGI logo, IRIX, O2, Octane, and Origin are registered trademarks and OpenMP and ProDev are trademarks of Silicon Graphics, Inc. in the United States and/or other countries worldwide. MIPS, MIPS I, MIPS II, MIPS III, MIPS IV, R2000, R3000, R4000, R4400, R4600, R5000, and R8000 are registered or unregistered trademarks and MIPSpro, R10000, R12000, R1400 are trademarks of MIPS Technologies, Inc., used under license by Silicon Graphics, Inc. Portions of this publication may have been derived from the OpenMP Language Application Program Interface Specification. -
SPIM S20: a MIPS R2000 Simulator∗
SPIM S20: A MIPS R2000 Simulator∗ 1 th “ 25 the performance at none of the cost” James R. Larus [email protected] Computer Sciences Department University of Wisconsin–Madison 1210 West Dayton Street Madison, WI 53706, USA 608-262-9519 Copyright °c 1990–1997 by James R. Larus (This document may be copied without royalties, so long as this copyright notice remains on it.) 1 SPIM SPIM S20 is a simulator that runs programs for the MIPS R2000/R3000 RISC computers.1 SPIM can read and immediately execute files containing assembly language. SPIM is a self- contained system for running these programs and contains a debugger and interface to a few operating system services. The architecture of the MIPS computers is simple and regular, which makes it easy to learn and understand. The processor contains 32 general-purpose 32-bit registers and a well-designed instruction set that make it a propitious target for generating code in a compiler. However, the obvious question is: why use a simulator when many people have workstations that contain a hardware, and hence significantly faster, implementation of this computer? One reason is that these workstations are not generally available. Another reason is that these ma- chine will not persist for many years because of the rapid progress leading to new and faster computers. Unfortunately, the trend is to make computers faster by executing several instruc- tions concurrently, which makes their architecture more difficult to understand and program. The MIPS architecture may be the epitome of a simple, clean RISC machine. In addition, simulators can provide a better environment for low-level programming than an actual machine because they can detect more errors and provide more features than an actual computer. -
Gs-35F-4677G
March 2013 NCS Technologies, Inc. Information Technology (IT) Schedule Contract Number: GS-35F-4677G FEDERAL ACQUISTIION SERVICE INFORMATION TECHNOLOGY SCHEDULE PRICELIST GENERAL PURPOSE COMMERCIAL INFORMATION TECHNOLOGY EQUIPMENT Special Item No. 132-8 Purchase of Hardware 132-8 PURCHASE OF EQUIPMENT FSC CLASS 7010 – SYSTEM CONFIGURATION 1. End User Computer / Desktop 2. Professional Workstation 3. Server 4. Laptop / Portable / Notebook FSC CLASS 7-25 – INPUT/OUTPUT AND STORAGE DEVICES 1. Display 2. Network Equipment 3. Storage Devices including Magnetic Storage, Magnetic Tape and Optical Disk NCS TECHNOLOGIES, INC. 7669 Limestone Drive Gainesville, VA 20155-4038 Tel: (703) 621-1700 Fax: (703) 621-1701 Website: www.ncst.com Contract Number: GS-35F-4677G – Option Year 3 Period Covered by Contract: May 15, 1997 through May 14, 2017 GENERAL SERVICE ADMINISTRATION FEDERAL ACQUISTIION SERVICE Products and ordering information in this Authorized FAS IT Schedule Price List is also available on the GSA Advantage! System. Agencies can browse GSA Advantage! By accessing GSA’s Home Page via Internet at www.gsa.gov. TABLE OF CONTENTS INFORMATION FOR ORDERING OFFICES ............................................................................................................................................................................................................................... TC-1 SPECIAL NOTICE TO AGENCIES – SMALL BUSINESS PARTICIPATION 1. Geographical Scope of Contract ............................................................................................................................................................................................................................. -
Powervr SGX Series5xt IP Core Family
PowerVR SGX Series5XT IP Core Family The PowerVR™ SGX Series5XT Graphics Processing Unit (GPU) IP core family is a series Features of highly efficient graphics acceleration IP cores that meet the multimedia requirements of • Most comprehensive IP core family the next generation of consumer, communications and computing applications. and roadmap in the industry PowerVR SGX Series5XT architecture is fully scalable for a wide range of area and • USSE2 delivers twice the peak performance requirements, enabling it to target markets from low cost feature-rich mobile floating point and instruction multimedia products to very high performance consoles and computing devices. throughput of Series5 USSE • YUV and colour space accelerators The family incorporates the second-generation Universal Scalable Shader Engine (USSE2™), for improved performance with a feature set that exceeds the requirements of OpenGL 2.0 and Microsoft Shader • Upgraded PowerVR Series5XT Model 3, enabling 2D, 3D and general purpose (GP-GPU) processing in a single core. shader-driven tile-based deferred rendering (TBDR) architecture • Multi-processor options enable scalability to higher performance • Support for all industry standard PowerVR SGX Family mobile and desktop graphics APIs and operating sytems Series5XT SGX543MP1-16, SGX544MP1-16, SGX554MP1-16 • Fully backwards compatible with PowerVR MBX and SGX Series5 Series5 SGX520, SGX530, SGX531, SGX535, SGX540, SGX545 Benefits Multi-standard API and OS • Extensive product line supports all area/performance requirements OpenGL -
A 2000 Frames / S Programmable Binary Image Processor Chip for Real Time Machine Vision Applications
A 2000 frames / s programmable binary image processor chip for real time machine vision applications A. Loos, D. Fey Institute of Computer Science, Friedrich-Schiller-University Jena Ernst-Abbe-Platz 2, D-07743 Jena, Germany {loos,fey}@cs.uni-jena.de Abstract the inflexible and fixed instruction set. To meet that we present a so called ASIP (application specific instruction Industrial manufacturing today requires both an efficient set processor) which combines the flexibility of a GPP production process and an appropriate quality standard of (General Purpose Processor) with the speed of an ASIC. each produced unit. The number of industrial vision appli- cations, where real time vision systems are utilized, is con- tinuously rising due to the increasing automation. Assem- Embedded Vision System bly lines, where component parts are manipulated by robot 1. real scene image sensing, AD- CMOS-Imager grippers, require a fast and fault tolerant visual detection conversion and read out of objects. Standard computation hardware like PC-based 2. grey scale image image segmentation platforms with frame grabber boards are often not appro- representation priate for such hard real time vision tasks in embedded sys- 3. raw binary image image enhancement, tems. This is because they meet their limits at frame rates of representation removal of disturbance a few hundreds images per second and show comparatively ASIP FPGA long latency times of a few milliseconds. This is the result 4. improved binary image calculation of of the largely serial working and time consuming process- projections ing chain of these systems. In contrast to that we designed 5. -
GPU Developments 2018
GPU Developments 2018 2018 GPU Developments 2018 © Copyright Jon Peddie Research 2019. All rights reserved. Reproduction in whole or in part is prohibited without written permission from Jon Peddie Research. This report is the property of Jon Peddie Research (JPR) and made available to a restricted number of clients only upon these terms and conditions. Agreement not to copy or disclose. This report and all future reports or other materials provided by JPR pursuant to this subscription (collectively, “Reports”) are protected by: (i) federal copyright, pursuant to the Copyright Act of 1976; and (ii) the nondisclosure provisions set forth immediately following. License, exclusive use, and agreement not to disclose. Reports are the trade secret property exclusively of JPR and are made available to a restricted number of clients, for their exclusive use and only upon the following terms and conditions. JPR grants site-wide license to read and utilize the information in the Reports, exclusively to the initial subscriber to the Reports, its subsidiaries, divisions, and employees (collectively, “Subscriber”). The Reports shall, at all times, be treated by Subscriber as proprietary and confidential documents, for internal use only. Subscriber agrees that it will not reproduce for or share any of the material in the Reports (“Material”) with any entity or individual other than Subscriber (“Shared Third Party”) (collectively, “Share” or “Sharing”), without the advance written permission of JPR. Subscriber shall be liable for any breach of this agreement and shall be subject to cancellation of its subscription to Reports. Without limiting this liability, Subscriber shall be liable for any damages suffered by JPR as a result of any Sharing of any Material, without advance written permission of JPR. -
Microprocessors History of Computing Nouf Assaid
MICROPROCESSORS HISTORY OF COMPUTING NOUF ASSAID 1 Table of Contents Introduction 2 Brief History 2 Microprocessors 7 Instruction Set Architectures 8 Von Neumann Machine 9 Microprocessor Design 12 Superscalar 13 RISC 16 CISC 20 VLIW 23 Multiprocessor 24 Future Trends in Microprocessor Design 25 2 Introduction If we take a look around us, we would be sure to find a device that uses a microprocessor in some form or the other. Microprocessors have become a part of our daily lives and it would be difficult to imagine life without them today. From digital wrist watches, to pocket calculators, from microwaves, to cars, toys, security systems, navigation, to credit cards, microprocessors are ubiquitous. All this has been made possible by remarkable developments in semiconductor technology enabling in the last 30 years, enabling the implementation of ideas that were previously beyond the average computer architect’s grasp. In this paper, we discuss the various microprocessor technologies, starting with a brief history of computing. This is followed by an in-depth look at processor architecture, design philosophies, current design trends, RISC processors and CISC processors. Finally we discuss trends and directions in microprocessor design. Brief Historical Overview Mechanical Computers A French engineer by the name of Blaise Pascal built the first working mechanical computer. This device was made completely from gears and was operated using hand cranks. This machine was capable of simple addition and subtraction, but a few years later, a German mathematician by the name of Leibniz made a similar machine that could multiply and divide as well. After about 150 years, a mathematician at Cambridge, Charles Babbage made his Difference Engine. -
MIPS® Architecture for Programmers Volume I-B: Introduction to the Micromips32™ Architecture, Revision 5.03
MIPS® Architecture For Programmers Volume I-B: Introduction to the microMIPS32™ Architecture Document Number: MD00741 Revision 5.03 Sept. 9, 2013 Unpublished rights (if any) reserved under the copyright laws of the United States of America and other countries. This document contains information that is proprietary to MIPS Tech, LLC, a Wave Computing company (“MIPS”) and MIPS’ affiliates as applicable. Any copying, reproducing, modifying or use of this information (in whole or in part) that is not expressly permitted in writing by MIPS or MIPS’ affiliates as applicable or an authorized third party is strictly prohibited. At a minimum, this information is protected under unfair competition and copyright laws. Violations thereof may result in criminal penalties and fines. Any document provided in source format (i.e., in a modifiable form such as in FrameMaker or Microsoft Word format) is subject to use and distribution restrictions that are independent of and supplemental to any and all confidentiality restrictions. UNDER NO CIRCUMSTANCES MAY A DOCUMENT PROVIDED IN SOURCE FORMAT BE DISTRIBUTED TO A THIRD PARTY IN SOURCE FORMAT WITHOUT THE EXPRESS WRITTEN PERMISSION OF MIPS (AND MIPS’ AFFILIATES AS APPLICABLE) reserve the right to change the information contained in this document to improve function, design or otherwise. MIPS and MIPS’ affiliates do not assume any liability arising out of the application or use of this information, or of any error or omission in such information. Any warranties, whether express, statutory, implied or otherwise, including but not limited to the implied warranties of merchantability or fitness for a particular purpose, are excluded. Except as expressly provided in any written license agreement from MIPS or an authorized third party, the furnishing of this document does not give recipient any license to any intellectual property rights, including any patent rights, that cover the information in this document. -
Driver Riva Tnt2 64
Driver riva tnt2 64 click here to download The following products are supported by the drivers: TNT2 TNT2 Pro TNT2 Ultra TNT2 Model 64 (M64) TNT2 Model 64 (M64) Pro Vanta Vanta LT GeForce. The NVIDIA TNT2™ was the first chipset to offer a bit frame buffer for better quality visuals at higher resolutions, bit color for TNT2 M64 Memory Speed. NVIDIA no longer provides hardware or software support for the NVIDIA Riva TNT GPU. The last Forceware unified display driver which. version now. NVIDIA RIVA TNT2 Model 64/Model 64 Pro is the first family of high performance. Drivers > Video & Graphic Cards. Feedback. NVIDIA RIVA TNT2 Model 64/Model 64 Pro: The first chipset to offer a bit frame buffer for better quality visuals Subcategory, Video Drivers. Update your computer's drivers using DriverMax, the free driver update tool - Display Adapters - NVIDIA - NVIDIA RIVA TNT2 Model 64/Model 64 Pro Computer. (In Windows 7 RC1 there was the build in TNT2 drivers). http://kemovitra. www.doorway.ru Use the links on this page to download the latest version of NVIDIA RIVA TNT2 Model 64/Model 64 Pro (Microsoft Corporation) drivers. All drivers available for. NVIDIA RIVA TNT2 Model 64/Model 64 Pro - Driver Download. Updating your drivers with Driver Alert can help your computer in a number of ways. From adding. Nvidia RIVA TNT2 M64 specs and specifications. Price comparisons for the Nvidia RIVA TNT2 M64 and also where to download RIVA TNT2 M64 drivers. Windows 7 and Windows Vista both fail to recognize the Nvidia Riva TNT2 ( Model64/Model 64 Pro) which means you are restricted to a low. -
United Health Group Capacity Analysis
Advanced Technical Skills (ATS) North America zPCR Capacity Sizing Lab SHARE Sessions 7774 and 7785 August 4, 2010 John Burg Brad Snyder Materials created by John Fitch and Jim Shaw IBM 1 © 2010 IBM Corporation Advanced Technical Skills Trademarks The following are trademarks of the International Business Machines Corporation in the United States and/or other countries. AlphaBlox* GDPS* RACF* Tivoli* APPN* HiperSockets Redbooks* Tivoli Storage Manager CICS* HyperSwap Resource Link TotalStorage* CICS/VSE* IBM* RETAIN* VSE/ESA Cool Blue IBM eServer REXX VTAM* DB2* IBM logo* RMF WebSphere* DFSMS IMS S/390* xSeries* DFSMShsm Language Environment* Scalable Architecture for Financial Reporting z9* DFSMSrmm Lotus* Sysplex Timer* z10 DirMaint Large System Performance Reference™ (LSPR™) Systems Director Active Energy Manager z10 BC DRDA* Multiprise* System/370 z10 EC DS6000 MVS System p* z/Architecture* DS8000 OMEGAMON* System Storage zEnterprise ECKD Parallel Sysplex* System x* z/OS* ESCON* Performance Toolkit for VM System z z/VM* FICON* PowerPC* System z9* z/VSE FlashCopy* PR/SM System z10 zSeries* * Registered trademarks of IBM Corporation Processor Resource/Systems Manager The following are trademarks or registered trademarks of other companies. Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries. Cell Broadband Engine is a trademark of Sony Computer Entertainment, Inc. in the United States, other countries, or both and is used under license therefrom. Java and all Java-based trademarks are trademarks of Sun Microsystems, Inc. in the United States, other countries, or both. Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. -
MIPS IV Instruction Set
MIPS IV Instruction Set Revision 3.2 September, 1995 Charles Price MIPS Technologies, Inc. All Right Reserved RESTRICTED RIGHTS LEGEND Use, duplication, or disclosure of the technical data contained in this document by the Government is subject to restrictions as set forth in subdivision (c) (1) (ii) of the Rights in Technical Data and Computer Software clause at DFARS 52.227-7013 and / or in similar or successor clauses in the FAR, or in the DOD or NASA FAR Supplement. Unpublished rights reserved under the Copyright Laws of the United States. Contractor / manufacturer is MIPS Technologies, Inc., 2011 N. Shoreline Blvd., Mountain View, CA 94039-7311. R2000, R3000, R6000, R4000, R4400, R4200, R8000, R4300 and R10000 are trademarks of MIPS Technologies, Inc. MIPS and R3000 are registered trademarks of MIPS Technologies, Inc. The information in this document is preliminary and subject to change without notice. MIPS Technologies, Inc. (MTI) reserves the right to change any portion of the product described herein to improve function or design. MTI does not assume liability arising out of the application or use of any product or circuit described herein. Information on MIPS products is available electronically: (a) Through the World Wide Web. Point your WWW client to: http://www.mips.com (b) Through ftp from the internet site “sgigate.sgi.com”. Login as “ftp” or “anonymous” and then cd to the directory “pub/doc”. (c) Through an automated FAX service: Inside the USA toll free: (800) 446-6477 (800-IGO-MIPS) Outside the USA: (415) 688-4321 (call from a FAX machine) MIPS Technologies, Inc. -
Average Memory Access Time: Reducing Misses
Review: Cache performance 332 Miss-oriented Approach to Memory Access: Advanced Computer Architecture ⎛ MemAccess ⎞ CPUtime = IC × ⎜ CPI + × MissRate × MissPenalt y ⎟ × CycleTime Chapter 2 ⎝ Execution Inst ⎠ ⎛ MemMisses ⎞ CPUtime = IC × ⎜ CPI + × MissPenalt y ⎟ × CycleTime Caches and Memory Systems ⎝ Execution Inst ⎠ CPIExecution includes ALU and Memory instructions January 2007 Separating out Memory component entirely Paul H J Kelly AMAT = Average Memory Access Time CPIALUOps does not include memory instructions ⎛ AluOps MemAccess ⎞ These lecture notes are partly based on the course text, Hennessy CPUtime = IC × ⎜ × CPI + × AMAT ⎟ × CycleTime and Patterson’s Computer Architecture, a quantitative approach (3rd ⎝ Inst AluOps Inst ⎠ and 4th eds), and on the lecture slides of David Patterson and John AMAT = HitTime + MissRate × MissPenalt y Kubiatowicz’s Berkeley course = ()HitTime Inst + MissRate Inst × MissPenalt y Inst + ()HitTime Data + MissRate Data × MissPenalt y Data Advanced Computer Architecture Chapter 2.1 Advanced Computer Architecture Chapter 2.2 Average memory access time: Reducing Misses Classifying Misses: 3 Cs AMAT = HitTime + MissRate × MissPenalt y Compulsory—The first access to a block is not in the cache, so the block must be brought into the cache. Also called cold start misses or first reference misses. There are three ways to improve cache (Misses in even an Infinite Cache) Capacity—If the cache cannot contain all the blocks needed during performance: execution of a program, capacity misses will occur due to blocks being discarded and later retrieved. (Misses in Fully Associative Size X Cache) 1. Reduce the miss rate, Conflict—If block-placement strategy is set associative or direct mapped, conflict misses (in addition to compulsory & capacity misses) will 2.