Open-Source 32-Bit RISC Soft-Core Processors
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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 -
Latticemico32 Development Kit User's Guide for Latticeecp
LatticeMico32 Development Kit User’s Guide for LatticeECP Lattice Semiconductor Corporation 5555 NE Moore Court Hillsboro, OR 97124 (503) 268-8000 May 2007 Copyright Copyright © 2007 Lattice Semiconductor Corporation. This document may not, in whole or part, be copied, photocopied, reproduced, translated, or reduced to any electronic medium or machine- readable form without prior written consent from Lattice Semiconductor Corporation. Trademarks Lattice Semiconductor Corporation, L Lattice Semiconductor Corporation (logo), L (stylized), L (design), Lattice (design), LSC, E2CMOS, Extreme Performance, FlashBAK, flexiFlash, flexiMAC, flexiPCS, FreedomChip, GAL, GDX, Generic Array Logic, HDL Explorer, IPexpress, ISP, ispATE, ispClock, ispDOWNLOAD, ispGAL, ispGDS, ispGDX, ispGDXV, ispGDX2, ispGENERATOR, ispJTAG, ispLEVER, ispLeverCORE, ispLSI, ispMACH, ispPAC, ispTRACY, ispTURBO, ispVIRTUAL MACHINE, ispVM, ispXP, ispXPGA, ispXPLD, LatticeEC, LatticeECP, LatticeECP-DSP, LatticeECP2, LatticeECP2M, LatticeMico8, LatticeMico32, LatticeSC, LatticeSCM, LatticeXP, LatticeXP2, MACH, MachXO, MACO, ORCA, PAC, PAC-Designer, PAL, Performance Analyst, PURESPEED, Reveal, Silicon Forest, Speedlocked, Speed Locking, SuperBIG, SuperCOOL, SuperFAST, SuperWIDE, sysCLOCK, sysCONFIG, sysDSP, sysHSI, sysI/O, sysMEM, The Simple Machine for Complex Design, TransFR, UltraMOS, and specific product designations are either registered trademarks or trademarks of Lattice Semiconductor Corporation or its subsidiaries in the United States and/or other countries. ISP, Bringing the Best Together, and More of the Best are service marks of Lattice Semiconductor Corporation. Other product names used in this publication are for identification purposes only and may be trademarks of their respective companies. Disclaimers NO WARRANTIES: THE INFORMATION PROVIDED IN THIS DOCUMENT IS “AS IS” WITHOUT ANY EXPRESS OR IMPLIED WARRANTY OF ANY KIND INCLUDING WARRANTIES OF ACCURACY, COMPLETENESS, MERCHANTABILITY, NONINFRINGEMENT OF INTELLECTUAL PROPERTY, OR FITNESS FOR ANY PARTICULAR PURPOSE. -
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. -
Latticemico32 Software Developer User Guide
LatticeMico32 Software Developer User Guide May 2014 Copyright Copyright © 2014 Lattice Semiconductor Corporation. This document may not, in whole or part, be copied, photocopied, reproduced, translated, or reduced to any electronic medium or machine-readable form without prior written consent from Lattice Semiconductor Corporation. Trademarks Lattice Semiconductor Corporation, L Lattice Semiconductor Corporation (logo), L (stylized), L (design), Lattice (design), LSC, CleanClock, Custom Mobile Device, DiePlus, E2CMOS, ECP5, Extreme Performance, FlashBAK, FlexiClock, flexiFLASH, flexiMAC, flexiPCS, FreedomChip, GAL, GDX, Generic Array Logic, HDL Explorer, iCE Dice, iCE40, iCE65, iCEblink, iCEcable, iCEchip, iCEcube, iCEcube2, iCEman, iCEprog, iCEsab, iCEsocket, IPexpress, ISP, ispATE, ispClock, ispDOWNLOAD, ispGAL, ispGDS, ispGDX, ispGDX2, ispGDXV, ispGENERATOR, ispJTAG, ispLEVER, ispLeverCORE, ispLSI, ispMACH, ispPAC, ispTRACY, ispTURBO, ispVIRTUAL MACHINE, ispVM, ispXP, ispXPGA, ispXPLD, Lattice Diamond, LatticeCORE, LatticeEC, LatticeECP, LatticeECP-DSP, LatticeECP2, LatticeECP2M, LatticeECP3, LatticeECP4, LatticeMico, LatticeMico8, LatticeMico32, LatticeSC, LatticeSCM, LatticeXP, LatticeXP2, MACH, MachXO, MachXO2, MachXO3, MACO, mobileFPGA, ORCA, PAC, PAC-Designer, PAL, Performance Analyst, Platform Manager, ProcessorPM, PURESPEED, Reveal, SensorExtender, SiliconBlue, Silicon Forest, Speedlocked, Speed Locking, SuperBIG, SuperCOOL, SuperFAST, SuperWIDE, sysCLOCK, sysCONFIG, sysDSP, sysHSI, sysI/O, sysMEM, The Simple Machine for Complex -
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 -
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. -
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. -
Openpiton: an Open Source Manycore Research Framework
OpenPiton: An Open Source Manycore Research Framework Jonathan Balkind Michael McKeown Yaosheng Fu Tri Nguyen Yanqi Zhou Alexey Lavrov Mohammad Shahrad Adi Fuchs Samuel Payne ∗ Xiaohua Liang Matthew Matl David Wentzlaff Princeton University fjbalkind,mmckeown,yfu,trin,yanqiz,alavrov,mshahrad,[email protected], [email protected], fxiaohua,mmatl,[email protected] Abstract chipset Industry is building larger, more complex, manycore proces- sors on the back of strong institutional knowledge, but aca- demic projects face difficulties in replicating that scale. To Tile alleviate these difficulties and to develop and share knowl- edge, the community needs open architecture frameworks for simulation, synthesis, and software exploration which Chip support extensibility, scalability, and configurability, along- side an established base of verification tools and supported software. In this paper we present OpenPiton, an open source framework for building scalable architecture research proto- types from 1 core to 500 million cores. OpenPiton is the world’s first open source, general-purpose, multithreaded manycore processor and framework. OpenPiton leverages the industry hardened OpenSPARC T1 core with modifica- Figure 1: OpenPiton Architecture. Multiple manycore chips tions and builds upon it with a scratch-built, scalable uncore are connected together with chipset logic and networks to creating a flexible, modern manycore design. In addition, build large scalable manycore systems. OpenPiton’s cache OpenPiton provides synthesis and backend scripts for ASIC coherence protocol extends off chip. and FPGA to enable other researchers to bring their designs to implementation. OpenPiton provides a complete verifica- tion infrastructure of over 8000 tests, is supported by mature software tools, runs full-stack multiuser Debian Linux, and has been widespread across the industry with manycore pro- is written in industry standard Verilog. -
Implementing Post-Quantum Cryptography on Embedded Microcontrollers
Implementing post-quantum cryptography on embedded microcontrollers Peter Schwabe [email protected] https://cryptojedi.org September 17, 2019 Embedded microcontrollers “A microcontroller (or MCU for microcontroller unit) is a small computer on a single integrated circuit. In modern terminology, it is a system on a chip or SoC.” —Wikipedia 1 Embedded microcontrollers “A microcontroller (or MCU for microcontroller unit) is a small computer on a single integrated circuit. In modern terminology, it is a system on a chip or SoC.” —Wikipedia 1 • MSP430 16-bit microcontrollers • ARM Cortex-M 32-bit MCUs (e.g., in NXP, ST, Infineon chips) • Low-end M0 and M0+ • Mid-range Cortex-M3 • High-end Cortex-M4 and M7 • RISC-V 32-bit MCUs (e.g., SiFive boards) ::: so many to choose from! • AVR ATmega and ATtiny 8-bit microcontrollers (e.g., Arduino) 2 • ARM Cortex-M 32-bit MCUs (e.g., in NXP, ST, Infineon chips) • Low-end M0 and M0+ • Mid-range Cortex-M3 • High-end Cortex-M4 and M7 • RISC-V 32-bit MCUs (e.g., SiFive boards) ::: so many to choose from! • AVR ATmega and ATtiny 8-bit microcontrollers (e.g., Arduino) • MSP430 16-bit microcontrollers 2 • RISC-V 32-bit MCUs (e.g., SiFive boards) ::: so many to choose from! • AVR ATmega and ATtiny 8-bit microcontrollers (e.g., Arduino) • MSP430 16-bit microcontrollers • ARM Cortex-M 32-bit MCUs (e.g., in NXP, ST, Infineon chips) • Low-end M0 and M0+ • Mid-range Cortex-M3 • High-end Cortex-M4 and M7 2 ::: so many to choose from! • AVR ATmega and ATtiny 8-bit microcontrollers (e.g., Arduino) • MSP430 16-bit microcontrollers -
FPGA Architecture: Survey and Challenges Full Text Available At
Full text available at: http://dx.doi.org/10.1561/1000000005 FPGA Architecture: Survey and Challenges Full text available at: http://dx.doi.org/10.1561/1000000005 FPGA Architecture: Survey and Challenges Ian Kuon University of Toronto Toronto, ON Canada [email protected] Russell Tessier University of Massachusetts Amherst, MA USA [email protected] Jonathan Rose University of Toronto Toronto, ON Canada [email protected] Boston – Delft Full text available at: http://dx.doi.org/10.1561/1000000005 Foundations and Trends R in Electronic Design Automation Published, sold and distributed by: now Publishers Inc. PO Box 1024 Hanover, MA 02339 USA Tel. +1-781-985-4510 www.nowpublishers.com [email protected] Outside North America: now Publishers Inc. PO Box 179 2600 AD Delft The Netherlands Tel. +31-6-51115274 The preferred citation for this publication is I. Kuon, R. Tessier and J. Rose, FPGA Architecture: Survey and Challenges, Foundations and Trends R in Elec- tronic Design Automation, vol 2, no 2, pp 135–253, 2007 ISBN: 978-1-60198-126-4 c 2008 I. Kuon, R. Tessier and J. Rose All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, mechanical, photocopying, recording or otherwise, without prior written permission of the publishers. Photocopying. In the USA: This journal is registered at the Copyright Clearance Cen- ter, Inc., 222 Rosewood Drive, Danvers, MA 01923. Authorization to photocopy items for internal or personal use, or the internal or personal use of specific clients, is granted by now Publishers Inc for users registered with the Copyright Clearance Center (CCC). -
FPGA Design Guide
FPGA Design Guide Lattice Semiconductor Corporation 5555 NE Moore Court Hillsboro, OR 97124 (503) 268-8000 September 16, 2008 Copyright Copyright © 2008 Lattice Semiconductor Corporation. This document may not, in whole or part, be copied, photocopied, reproduced, translated, or reduced to any electronic medium or machine- readable form without prior written consent from Lattice Semiconductor Corporation. Trademarks Lattice Semiconductor Corporation, L Lattice Semiconductor Corporation (logo), L (stylized), L (design), Lattice (design), LSC, E2CMOS, Extreme Performance, FlashBAK, flexiFlash, flexiMAC, flexiPCS, FreedomChip, GAL, GDX, Generic Array Logic, HDL Explorer, IPexpress, ISP, ispATE, ispClock, ispDOWNLOAD, ispGAL, ispGDS, ispGDX, ispGDXV, ispGDX2, ispGENERATOR, ispJTAG, ispLEVER, ispLeverCORE, ispLSI, ispMACH, ispPAC, ispTRACY, ispTURBO, ispVIRTUAL MACHINE, ispVM, ispXP, ispXPGA, ispXPLD, LatticeEC, LatticeECP, LatticeECP-DSP, LatticeECP2, LatticeECP2M, LatticeMico8, LatticeMico32, LatticeSC, LatticeSCM, LatticeXP, LatticeXP2, MACH, MachXO, MACO, ORCA, PAC, PAC-Designer, PAL, Performance Analyst, PURESPEED, Reveal, Silicon Forest, Speedlocked, Speed Locking, SuperBIG, SuperCOOL, SuperFAST, SuperWIDE, sysCLOCK, sysCONFIG, sysDSP, sysHSI, sysI/O, sysMEM, The Simple Machine for Complex Design, TransFR, UltraMOS, and specific product designations are either registered trademarks or trademarks of Lattice Semiconductor Corporation or its subsidiaries in the United States and/or other countries. ISP, Bringing the Best Together, and More -
ESC-470: ARM 9 Instruction Set Architecture with Performance
ARM 9 Instruction Set Architecture Introduction with Performance Perspective Joe-Ming Cheng, Ph.D. ARM-family processors are positioned among the leaders in key embedded applications. Many presentations and short lectures have already addressed the ARM’s applications and capabilities. In this introduction, we intend to discuss the ARM’s instruction set uniqueness from the performance prospective. This introduction is also trying to follow the approaches established by two outstanding textbooks of David Patterson and John Hennessey [PetHen00] [HenPet02]. 1.0 ARM Instruction Set Architecture Processor instruction set architecture (ISA) choices have evolved from accumulator, stack, register-to- memory, to register-register (load-store) organization. ARM 9 ISA is a load-store machine. ARM 9 ISA takes advantage of its smaller set of registers (16 vs. many 32-register processors) to incorporate more direct controls and achieve high encoding density. ARM’s load or store multiple register instruction, for example , allows enlisting of all possible registers and conditional execution in one instruction. The Thumb mode instruction set is another exa mple of how ARM ISA facilitates higher encode density. Rather than compressing the code, Thumb -mode instructions are two 16-bit instructions packed in a 32-bit ARM-mode instruction space. The Thumb -mode instructions are a subset of ARM instructions. When executing in Thumb mode, a single 32-bit instruction fetch cycle effectively brings in two instructions. Thumb code reduces access bandwidth, code size, and improves instruction cache hit rate. Another way ARM achieves cycle time reduction is by using Harvard architecture. The architecture facilitates independent data and instruction buses.