Evaluation of Synthesizable CPU Cores
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How Data Hazards Can Be Removed Effectively
International Journal of Scientific & Engineering Research, Volume 7, Issue 9, September-2016 116 ISSN 2229-5518 How Data Hazards can be removed effectively Muhammad Zeeshan, Saadia Anayat, Rabia and Nabila Rehman Abstract—For fast Processing of instructions in computer architecture, the most frequently used technique is Pipelining technique, the Pipelining is consider an important implementation technique used in computer hardware for multi-processing of instructions. Although multiple instructions can be executed at the same time with the help of pipelining, but sometimes multi-processing create a critical situation that altered the normal CPU executions in expected way, sometime it may cause processing delay and produce incorrect computational results than expected. This situation is known as hazard. Pipelining processing increase the processing speed of the CPU but these Hazards that accrue due to multi-processing may sometime decrease the CPU processing. Hazards can be needed to handle properly at the beginning otherwise it causes serious damage to pipelining processing or overall performance of computation can be effected. Data hazard is one from three types of pipeline hazards. It may result in Race condition if we ignore a data hazard, so it is essential to resolve data hazards properly. In this paper, we tries to present some ideas to deal with data hazards are presented i.e. introduce idea how data hazards are harmful for processing and what is the cause of data hazards, why data hazard accord, how we remove data hazards effectively. While pipelining is very useful but there are several complications and serious issue that may occurred related to pipelining i.e. -
SPARC/IOBP-CPU-56 Installation Guide
SPARC/IOBP-CPU-56 Installation Guide P/N 220226 Revision AB September 2003 Copyright The information in this publication is subject to change without notice. Force Computers, GmbH reserves the right to make changes without notice to this, or any of its products, to improve reliability, performance, or design. Force Computers, GmbH shall not be liable for technical or editorial errors or omissions contained herein, nor for indirect, special, incidental, or consequential damages resulting from the furnishing, performance, or use of this material. This information is provided "as is" and Force Computers, GmbH expressly disclaims any and all warranties, express, implied, statutory, or otherwise, including without limitation, any express, statutory, or implied warranty of merchantability, fitness for a particular purpose, or non−infringement. This publication contains information protected by copyright. This publication shall not be reproduced, transmitted, or stored in a retrieval system, nor its contents used for any purpose, without the prior written consent of Force Computers, GmbH. Force Computers, GmbH assumes no responsibility for the use of any circuitry other than circuitry that is part of a product of Force Computers, GmbH. Force Computers, GmbH does not convey to the purchaser of the product described herein any license under the patent rights of Force Computers, GmbH nor the rights of others. CopyrightE 2003 by Force Computers, GmbH. All rights reserved. The Force logo is a trademark of Force Computers, GmbH. IEEER is a registered trademark of the Institute for Electrical and Electronics Engineers, Inc. PICMGR, CompactPCIR, and the CompactPCI logo are registered trademarks and the PICMG logo is a trademark of the PCI Industrial Computer Manufacturer’s Group. -
Debugging System for Openrisc 1000- Based Systems
Debugging System for OpenRisc 1000- based Systems Nathan Yawn [email protected] 05/12/09 Copyright (C) 2008 Nathan Yawn Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license should be included with this document. If not, the license may be obtained from www.gnu.org, or by writing to the Free Software Foundation. This document is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. History Rev Date Author Comments 1.0 20/7/2008 Nathan Yawn Initial version Contents 1.Introduction.............................................................................................................................................5 1.1.Overview.........................................................................................................................................5 1.2.Versions...........................................................................................................................................6 1.3.Stub-based methods.........................................................................................................................6 2.System Components................................................................................................................................7 -
Embedded Processors on FPGA: Hard-Core Vs Soft-Core Vivek J
Grand Valley State University ScholarWorks@GVSU Masters Theses Graduate Research and Creative Practice 5-19-2017 Embedded processors on FPGA: Hard-core vs Soft-core Vivek J. Vazhoth Kanhiroth Grand Valley State University Follow this and additional works at: http://scholarworks.gvsu.edu/theses Part of the Engineering Commons Recommended Citation Vazhoth Kanhiroth, Vivek J., "Embedded processors on FPGA: Hard-core vs Soft-core" (2017). Masters Theses. 845. http://scholarworks.gvsu.edu/theses/845 This Thesis is brought to you for free and open access by the Graduate Research and Creative Practice at ScholarWorks@GVSU. It has been accepted for inclusion in Masters Theses by an authorized administrator of ScholarWorks@GVSU. For more information, please contact [email protected]. Embedded processors on FPGA: Hard-core vs Soft-core Vivek Jayakrishnan Vazhoth Kanhiroth A Thesis submitted to the Graduate Faculty of GRAND VALLEY STATE UNIVERSITY In Partial Fulfilment of the Requirements For the Degree of Master of Science in Electrical Engineering Padnos College of Engineering and Computing April 2017 DEDICATION To my parents Jayakrishnan and Jayalakshmi who are my biggest inspiration and to my mentor Rajesh without whose help I would never have come out of my shell. 3 ACKNOWLEDGEMENTS I would like to thank my Thesis Advisor Dr. Chirag Parikh without whose patience, guidance and understanding I would not have finished this thesis. I would also like to thank my Thesis committee members Dr. Christian Trefftz and Dr. Azizur Rahman for their valuable inputs and feedback about my thesis. I am indebted to Dr. Shabbir Choudhuri for always being approachable and helping me on innumerable occasions over the last 3 years. -
ASIC Implemented Microblaze-Based Coprocessor for Data Stream
ASIC-IMPLEMENTED MICROBLAZE-BASED COPROCESSOR FOR DATA STREAM MANAGEMENT SYSTEMS A Thesis Submitted to the Faculty of Purdue University by Linknath Surya Balasubramanian In Partial Fulfillment of the Requirements for the Degree of Master of Science in Electrical and Computer Engineering May 2020 Purdue University Indianapolis, Indiana ii THE PURDUE UNIVERSITY GRADUATE SCHOOL STATEMENT OF THESIS APPROVAL Dr. John J. Lee, Chair Department of Electrical and Computer Engineering Dr. Lauren A. Christopher Department of Electrical and Computer Engineering Dr. Maher E. Rizkalla Department of Electrical and Computer Engineering Approved by: Dr. Brian King Head of Graduate Program iii ACKNOWLEDGMENTS I would first like to express my gratitude to my advisor Dr. John J. Lee and my thesis committee members Dr. Lauren A. Christopher and Dr. Maher E. Rizkalla for their patience, guidance, and support during this journey. I would also like to thank Mrs. Sherrie Tucker for her patience, help, and encouragement. Lastly, I must thank Dr. Pranav Vaidya and Mr. Tareq S. Alqaisi for all their support, technical guidance, and advice. Thank you all for taking time and helping me complete this study. iv TABLE OF CONTENTS Page LIST OF TABLES :::::::::::::::::::::::::::::::::: vi LIST OF FIGURES ::::::::::::::::::::::::::::::::: vii ABSTRACT ::::::::::::::::::::::::::::::::::::: ix 1 INTRODUCTION :::::::::::::::::::::::::::::::: 1 1.1 Previous Work ::::::::::::::::::::::::::::::: 1 1.2 Motivation :::::::::::::::::::::::::::::::::: 2 1.3 Thesis Outline :::::::::::::::::::::::::::::::: -
A Superscalar Out-Of-Order X86 Soft Processor for FPGA
A Superscalar Out-of-Order x86 Soft Processor for FPGA Henry Wong University of Toronto, Intel [email protected] June 5, 2019 Stanford University EE380 1 Hi! ● CPU architect, Intel Hillsboro ● Ph.D., University of Toronto ● Today: x86 OoO processor for FPGA (Ph.D. work) – Motivation – High-level design and results – Microarchitecture details and some circuits 2 FPGA: Field-Programmable Gate Array ● Is a digital circuit (logic gates and wires) ● Is field-programmable (at power-on, not in the fab) ● Pre-fab everything you’ll ever need – 20x area, 20x delay cost – Circuit building blocks are somewhat bigger than logic gates 6-LUT6-LUT 6-LUT6-LUT 3 6-LUT 6-LUT FPGA: Field-Programmable Gate Array ● Is a digital circuit (logic gates and wires) ● Is field-programmable (at power-on, not in the fab) ● Pre-fab everything you’ll ever need – 20x area, 20x delay cost – Circuit building blocks are somewhat bigger than logic gates 6-LUT 6-LUT 6-LUT 6-LUT 4 6-LUT 6-LUT FPGA Soft Processors ● FPGA systems often have software components – Often running on a soft processor ● Need more performance? – Parallel code and hardware accelerators need effort – Less effort if soft processors got faster 5 FPGA Soft Processors ● FPGA systems often have software components – Often running on a soft processor ● Need more performance? – Parallel code and hardware accelerators need effort – Less effort if soft processors got faster 6 FPGA Soft Processors ● FPGA systems often have software components – Often running on a soft processor ● Need more performance? – Parallel -
Soft Machines Targets Ipcbottleneck
SOFT MACHINES TARGETS IPC BOTTLENECK New CPU Approach Boosts Performance Using Virtual Cores By Linley Gwennap (October 27, 2014) ................................................................................................................... Coming out of stealth mode at last week’s Linley Pro- president/CTO Mohammad Abdallah. Investors include cessor Conference, Soft Machines disclosed a new CPU AMD, GlobalFoundries, and Samsung as well as govern- technology that greatly improves performance on single- ment investment funds from Abu Dhabi (Mubdala), Russia threaded applications. The new VISC technology can con- (Rusnano and RVC), and Saudi Arabia (KACST and vert a single software thread into multiple virtual threads, Taqnia). Its board of directors is chaired by Global Foun- which it can then divide across multiple physical cores. dries CEO Sanjay Jha and includes legendary entrepreneur This conversion happens inside the processor hardware Gordon Campbell. and is thus invisible to the application and the software Soft Machines hopes to license the VISC technology developer. Although this capability may seem impossible, to other CPU-design companies, which could add it to Soft Machines has demonstrated its performance advan- their existing CPU cores. Because its fundamental benefit tage using a test chip that implements a VISC design. is better IPC, VISC could aid a range of applications from Without VISC, the only practical way to improve single-thread performance is to increase the parallelism Application (sequential code) (instructions per cycle, or IPC) of the CPU microarchi- Single Thread tecture. Taken to the extreme, this approach results in massive designs such as Intel’s Haswell and IBM’s Power8 OS and Hypervisor that deliver industry-leading performance but waste power Standard ISA and die area. -
Flynn's Taxonomy
Flynn’s Taxonomy n Michael Flynn (from Stanford) q Made a characterization of computer systems which became known as Flynn’s Taxonomy Computer Instructions Data SISD – Single Instruction Single Data Systems SI SISD SD SIMD – Single Instruction Multiple Data Systems “Vector Processors” SIMD SD SI SIMD SD Multiple Data SIMD SD MIMD Multiple Instructions Multiple Data Systems “Multi Processors” Multiple Instructions Multiple Data SI SIMD SD SI SIMD SD SI SIMD SD MISD – Multiple Instructions / Single Data Systems n Some people say “pipelining” lies here, but this is debatable Single Data Multiple Instructions SIMD SI SD SIMD SI SIMD SI Abbreviations •PC – Program Counter •MAR – Memory Access Register •M – Memory •MDR – Memory Data Register •A – Accumulator •ALU – Arithmetic Logic Unit •IR – Instruction Register •OP – Opcode •ADDR – Address •CLU – Control Logic Unit LOAD X n MAR <- PC n MDR <- M[ MAR ] n IR <- MDR n MAR <- IR[ ADDR ] n DECODER <- IR[ OP ] n MDR <- M[ MAR ] n A <- MDR ADD n MAR <- PC n MDR <- M[ MAR ] n IR <- MDR n MAR <- IR[ ADDR ] n DECODER <- IR[ OP ] n MDR <- M[ MAR ] n A <- A+MDR STORE n MDR <- A n M[ MAR ] <- MDR SISD Stack Machine •Stack Trace •Push 1 1 _ •Push 2 2 1 •Add 2 3 •Pop _ 3 •Pop C _ _ •First Stack Machine •B5000 Array Processor Array Processors n One of the first Array Processors was the ILLIIAC IV n Load A1, V[1] n Load B1, Y[1] n Load A2, V[2] n Load B2, Y[2] n Load A3, V[3] n Load B3, Y[3] n ADDALL n Store C1, W[1] n Store C2, W[2] n Store C3, W[3] Memory Interleaving Definition: Memory interleaving is a design used to gain faster access to memory, by organizing memory into separate memories, each with their own MAR (memory address register). -
Computer Organization & Architecture Eie
COMPUTER ORGANIZATION & ARCHITECTURE EIE 411 Course Lecturer: Engr Banji Adedayo. Reg COREN. The characteristics of different computers vary considerably from category to category. Computers for data processing activities have different features than those with scientific features. Even computers configured within the same application area have variations in design. Computer architecture is the science of integrating those components to achieve a level of functionality and performance. It is logical organization or designs of the hardware that make up the computer system. The internal organization of a digital system is defined by the sequence of micro operations it performs on the data stored in its registers. The internal structure of a MICRO-PROCESSOR is called its architecture and includes the number lay out and functionality of registers, memory cell, decoders, controllers and clocks. HISTORY OF COMPUTER HARDWARE The first use of the word ‘Computer’ was recorded in 1613, referring to a person who carried out calculation or computation. A brief History: Computer as we all know 2day had its beginning with 19th century English Mathematics Professor named Chales Babage. He designed the analytical engine and it was this design that the basic frame work of the computer of today are based on. 1st Generation 1937-1946 The first electronic digital computer was built by Dr John V. Atanasoff & Berry Cliford (ABC). In 1943 an electronic computer named colossus was built for military. 1946 – The first general purpose digital computer- the Electronic Numerical Integrator and computer (ENIAC) was built. This computer weighed 30 tons and had 18,000 vacuum tubes which were used for processing. -
Implementation, Verification and Validation of an Openrisc-1200
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 10, No. 1, 2019 Implementation, Verification and Validation of an OpenRISC-1200 Soft-core Processor on FPGA Abdul Rafay Khatri Department of Electronic Engineering, QUEST, NawabShah, Pakistan Abstract—An embedded system is a dedicated computer system in which hardware and software are combined to per- form some specific tasks. Recent advancements in the Field Programmable Gate Array (FPGA) technology make it possible to implement the complete embedded system on a single FPGA chip. The fundamental component of an embedded system is a microprocessor. Soft-core processors are written in hardware description languages and functionally equivalent to an ordinary microprocessor. These soft-core processors are synthesized and implemented on the FPGA devices. In this paper, the OpenRISC 1200 processor is used, which is a 32-bit soft-core processor and Fig. 1. General block diagram of embedded systems. written in the Verilog HDL. Xilinx ISE tools perform synthesis, design implementation and configure/program the FPGA. For verification and debugging purpose, a software toolchain from (RISC) processor. This processor consists of all necessary GNU is configured and installed. The software is written in C components which are available in any other microproces- and Assembly languages. The communication between the host computer and FPGA board is carried out through the serial RS- sor. These components are connected through a bus called 232 port. Wishbone bus. In this work, the OR1200 processor is used to implement the system on a chip technology on a Virtex-5 Keywords—FPGA Design; HDLs; Hw-Sw Co-design; Open- FPGA board from Xilinx. -
LSU EE 4720 Homework 1 Solution Due: 3 March 2006
LSU EE 4720 Homework 1 Solution Due: 3 March 2006 Several Web links appear below and at least one is long, to avoid the tedium of typing them view the assignment in Adobe reader and click. Problem 1: Consider these add instructions in three common ISAs. (Use the ISA manuals linked to the references page, http://www.ece.lsu.edu/ee4720/reference.html.) # MIPS64 addu r1, r2, r3 # SPARC V9 add g2, g3, g1 # PA RISC 2 add r1, r2, r3 (a) Show the encoding (binary form) for each instruction. Show the value of as many bits as possible. Codings shown below. For PA-RISC the ea, ec, and ed ¯elds are labeled e1, e2, and e3, respectively in the instruction descriptions. There is no label for the eb ¯eld in the instruction description of the add and yes it would make sense to use e0 instead of e1 but they didn't for whatever reason. opcode rs rt rd sa func MIPS64: 0 2 3 1 0 0x21 31 26 25 21 20 16 15 11 10 6 5 0 op rd op3 rs1 i asi rs2 SPARC V9: 2 1 0 2 0 0 3 31 30 29 25 24 19 18 14 13 13 12 5 4 0 OPCD r2 r1 c f ea eb ec ed d t PA-RISC 2: 2 3 2 0 0 01 1 0 00 0 1 0 5 6 10 11 15 16 18 19 19 20 21 22 22 23 23 24 25 26 26 27 31 (b) Identify the ¯eld or ¯elds in the SPARC add instruction which are the closest equivalent to MIPS' func ¯eld. -
Softcores for FPGA: the Free and Open Source Alternatives
Softcores for FPGA: The Free and Open Source Alternatives Jeremy Bennett and Simon Cook, Embecosm Abstract Open source soft cores have reached a degree of maturity. You can find them in products as diverse as a Samsung set-top box, NXP's ZigBee chips and NASA's TechEdSat. In this article we'll look at some of the more widely used: the OpenRISC 1000 from OpenCores, Gaisler's LEON family, Lattice Semiconductor's LM32 and Oracle's OpenSPARC, as well as more bleeding edge research designs such as BERI and CHERI from Cambridge University Computer Laboratory. We'll consider the technology, the business case, the engineering risks, and the licensing challenges of using such designs. What do we mean by “free” “Free” is an overloaded term in English. It can mean something you don't pay for, as in “this beer is free”. But it can also mean freedom, as in “you are free to share this article”. It is this latter sense that is central when we talk about free software or hardware designs. Of course such software or hardware designs may also be free, in the sense that you don't have to pay for them, but that is secondary. “Free” software in this sense has been around for a very long time. Explicitly since 1993 and Richard Stallman's GNU Manifesto, but implicitly since the first software was written and shared with colleagues and friends. That freedom is achieved by making the source code available, so others can modify the program, hence the more recent alternative name “open source”, but it is freedom that remains the key concept.