Opencore and Other 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 -
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. -
Co-Simulation Between Cλash and Traditional Hdls
MASTER THESIS CO-SIMULATION BETWEEN CλASH AND TRADITIONAL HDLS Author: John Verheij Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) Computer Architecture for Embedded Systems (CAES) Exam committee: Dr. Ir. C.P.R. Baaij Dr. Ir. J. Kuper Dr. Ir. J.F. Broenink Ir. E. Molenkamp August 19, 2016 Abstract CλaSH is a functional hardware description language (HDL) developed at the CAES group of the University of Twente. CλaSH borrows both the syntax and semantics from the general-purpose functional programming language Haskell, meaning that circuit de- signers can define their circuits with regular Haskell syntax. CλaSH contains a compiler for compiling circuits to traditional hardware description languages, like VHDL, Verilog, and SystemVerilog. Currently, compiling to traditional HDLs is one-way, meaning that CλaSH has no simulation options with the traditional HDLs. Co-simulation could be used to simulate designs which are defined in multiple lan- guages. With co-simulation it should be possible to use CλaSH as a verification language (test-bench) for traditional HDLs. Furthermore, circuits defined in traditional HDLs, can be used and simulated within CλaSH. In this thesis, research is done on the co-simulation of CλaSH and traditional HDLs. Traditional hardware description languages are standardized and include an interface to communicate with foreign languages. This interface can be used to include foreign func- tions, or to make verification and co-simulation possible. Because CλaSH also has possibilities to communicate with foreign languages, through Haskell foreign function interface (FFI), it is possible to set up co-simulation. The Verilog Procedural Interface (VPI), as defined in the IEEE 1364 standard, is used to set-up the communication and to control a Verilog simulator. -
Antikernel: a Decentralized Secure Hardware-Software Operating
Antikernel A Decentralized Secure Hardware-Software Operating System Andrew Zonenberg (@azonenberg) Senior Security Consultant, IOActive Bülent Yener Professor, Rensselaer Polytechnic Institute This work is based on Zonenberg’s 2015 doctoral dissertation, advised by Yener. IOActive, Inc. Copyright ©2016. All Rights Reserved. Kernel mode = full access to all state • What OS code needs this level of access? – Memory manager only needs heap metadata – Scheduler only needs run queue – Drivers only need their peripheral – Nothing needs access to state of user-mode apps • No single subsystem that needs access to all state • Any code with ring 0 privs is incompatible with LRP! IOActive, Inc. Copyright ©2016. All Rights Reserved. Monolithic kernel, microkernel, … Huge Huge attack surface Small Better 0 code size - Ring Can we get here? None Monolithic Micro ??? IOActive, Inc. Copyright ©2016. All Rights Reserved. Exokernel (MIT, 1995) • OS abstractions can often hurt performance – You don’t need a full FS to store temporary data on disk • Split protection / segmentation from abstraction Word proc FS Cache Disk driver DHCP server IOActive, Inc. Copyright ©2016. All Rights Reserved. Exokernel (MIT, 1995) • OS does very little: – Divide resources into blocks (CPU time quanta, RAM pages…) – Provide controlled access to them IOActive, Inc. Copyright ©2016. All Rights Reserved. But wait, there’s more… • By removing non-security abstractions from the kernel, we shrink the TCB and thus the attack surface! IOActive, Inc. Copyright ©2016. All Rights Reserved. So what does the kernel have to do? • Well, obviously a few things… – Share CPU time between multiple processes – Allow processes to talk to hardware/drivers – Allow processes to talk to each other – Page-level RAM allocation/access control IOActive, Inc. -
An Open-Source Python-Based Hardware Generation, Simulation
An Open-Source Python-Based Hardware Generation, Simulation, and Verification Framework Shunning Jiang Christopher Torng Christopher Batten School of Electrical and Computer Engineering, Cornell University, Ithaca, NY { sj634, clt67, cbatten }@cornell.edu pytest coverage.py hypothesis ABSTRACT Host Language HDL We present an overview of previously published features and work (Python) (Verilog) in progress for PyMTL, an open-source Python-based hardware generation, simulation, and verification framework that brings com- FL DUT pelling productivity benefits to hardware design and verification. CL DUT generate Verilog synth RTL DUT PyMTL provides a natural environment for multi-level modeling DUT' using method-based interfaces, features highly parametrized static Sim FPGA/ elaboration and analysis/transform passes, supports fast simulation cosim ASIC and property-based random testing in pure Python environment, Test Bench Sim and includes seamless SystemVerilog integration. Figure 1: PyMTL’s workflow – The designer iteratively refines the hardware within the host Python language, with the help from 1 INTRODUCTION pytest, coverage.py, and hypothesis. The same test bench is later There have been multiple generations of open-source hardware reused for co-simulating the generated Verilog. FL = functional generation frameworks that attempt to mitigate the increasing level; CL = cycle level; RTL = register-transfer level; DUT = design hardware design and verification complexity. These frameworks under test; DUT’ = generated DUT; Sim = simulation. use a high-level general-purpose programming language to ex- press a hardware-oriented declarative or procedural description level (RTL), along with verification and evaluation using Python- and explicitly generate a low-level HDL implementation. Our pre- based simulation and the same TB. -
Mali-400 MP: a Scalable GPU for Mobile Devices
Mali-400 MP: A Scalable GPU for Mobile Devices Tom Olson Director, Graphics Research, ARM Outline . ARM and Mobile Graphics . Design Constraints for Mobile GPUs . Mali Architecture Overview . Multicore Scaling in Mali-400 MP . Results 2 About ARM . World’s leading supplier of semiconductor IP . Processor Architectures and Implementations . Related IP: buses, caches, debug & trace, physical IP . Software tools and infrastructure . Business Model . License fees . Per-chip royalties . Graphics at ARM . Acquired Falanx in 2006 . ARM Mali is now the world’s most widely licensed GPU family 3 Challenges for Mobile GPUs . Size . Power . Memory Bandwidth 4 More Challenges . Graphics is going into “anything that has a screen” . Mobile . Navigation . Set Top Box/DTV . Automotive . Video telephony . Cameras . Printers . Huge range of form factors, screen sizes, power budgets, and performance requirements . In some applications, a huge difference between peak and average performance requirements 5 Solution: Scalability . Address a wide variety of performance points and applications with a single IP and a single software stack. Need static scalability to adapt to different peak requirements in different platforms / markets . Need dynamic scalability to reduce power when peak performance isn’t needed 6 Options for Scalability . Fine-grained: Multiple pipes, wide SIMD, etc . Proven approach, efficient and effective . But, adding pipes / lanes is invasive . Hard for IP licensees to do on their own . And, hard to partition to provide dynamic scalability . Coarse-grained: Multicore . Easy for licensees to select desired performance . Putting cores on separate power islands allows dynamic scaling 7 Mali 400-MP Top Level Architecture Asynch Mali-400 MP Top-Level APB Geometry Pixel Processor Pixel Processor Pixel Processor Pixel Processor Processor #1 #2 #3 #4 CLKs MaliMMUs RESETs IRQs IDLEs MaliL2 AXI . -
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. -
Programmable Logic Design Grzegorz Budzyń Lecture 11: Microcontroller
ProgrammableProgrammable LogicLogic DesignDesign GrzegorzGrzegorz BudzyBudzy ńń LLectureecture 11:11: MicrocontrollerMicrocontroller corescores inin FPGAFPGA Plan • Introduction • PicoBlaze • MicroBlaze • Cortex-M1 Introduction Introduction • There are dozens of 8-bit microcontroller architectures and instruction sets • Modern FPGAs can efficiently implement practically any 8-bit microcontroller • Available FPGA soft cores support popular instruction sets such as the PIC, 8051, AVR, 6502, 8080, and Z80 microcontrollers • Each significant FPGA producer offers their own soft core solution Introduction • Microcontrollers and FPGAs both successfully implement practically any digital logic function. • Each solution has unique advantages in cost, performance, and ease of use. • Microcontrollers are well suited to control applications, especially with widely changing requirements. • The FPGA resources required to implement the microcontroller are relatively constant. Introduction • The same FPGA logic is re-used by the various microcontroller instructions, conserving resources. • The program memory requirements grow with increasing complexity • Programming control sequences or state machines in assembly code is often easier than creating similar structures in FPGA logic • Microcontrollers are typically limited by performance. Each instruction executes sequentially. Introduction – block diagram Source:[1] FPGA vs Soft Core Microcontroller: – Easy to program, excellent for control and state machine applications – Resource requirements remain constant -
Intro to Programmable Logic and Fpgas
CS 296-33: Intro to Programmable Logic and FPGAs ADEL EJJEH UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN © Adel Ejjeh, UIUC, 2015 2 Digital Logic • In CS 233: • Logic Gates • Build Logic Circuits • Sum of Products ?? F = (A’.B)+(B.C)+(A.C’) A B Black F Box C © Adel Ejjeh, UIUC, 2015 3 Programmable Logic Devices (PLDs) PLD PLA PAL CPLD FPGA (Programmable (Programmable (Complex PLD) (Field Prog. Logic Array) Array Logic) Gate Array) •2-level structure of •Enhanced PLAs •For large designs •Has a much larger # of AND-OR gates with reduced costs •Collection of logic blocks with programmable multiple PLDs with •Larger interconnection connections an interconnection networK structure •Largest manufacturers: Xilinx - Altera Slide taken from Prof. Chehab, American University of Beirut © Adel Ejjeh, UIUC, 2015 4 Combinational Programmable Logic Devices PLAs, CPLDs © Adel Ejjeh, UIUC, 2015 5 Programmable Logic Arrays (PLAs) • 2-level AND-OR device • Programmable connections • Used to generate SOP • Ex: 4x3 PLA Slide adapted from Prof. Chehab, American University of Beirut © Adel Ejjeh, UIUC, 2015 6 PLAs contd • O1 = I1.I2’ + I4.I3’ • O2 = I2.I3.I4’ + I4.I3’ • O3 = I1.I2’ + I2.I1’ Slide adapted from Prof. Chehab, American University of Beirut © Adel Ejjeh, UIUC, 2015 7 Programmable Array Logic (PALs) • More Versatile than PLAs • User Programmable AND array followed by fixed OR gates • Flip-flops/Buffers with feedback transforming output ports into I/O ports © Adel Ejjeh, UIUC, 2015 8 Complex PLDs (CPLD) • Programmable PLD blocks (PALs) I/O Block I/O I/O -
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. -
A Pythonic Approach for Rapid Hardware Prototyping and Instrumentation
A Pythonic Approach for Rapid Hardware Prototyping and Instrumentation John Clow, Georgios Tzimpragos, Deeksha Dangwal, Sammy Guo, Joseph McMahan and Timothy Sherwood University of California, Santa Barbara, CA, 93106 USA Email: fjclow, gtzimpragos, deeksha, sguo, jmcmahan, [email protected] Abstract—We introduce PyRTL, a Python embedded hardware To achieve these goals, PyRTL intentionally restricts users design language that helps concisely and precisely describe to a set of reasonable digital design practices. PyRTL’s small digital hardware structures. Rather than attempt to infer a and well-defined internal core structure makes it easy to add good design via HLS, PyRTL provides a wrapper over a well- defined “core” set of primitives in a way that empowers digital new functionality that works across every design, including hardware design teaching and research. The proposed system logic transforms, static analysis, and optimizations. Features takes advantage of the programming language features of Python such as elaboration-through-execution (e.g. introspection), de- to allow interesting design patterns to be expressed succinctly, and sign and simulation without leaving Python, and the option encourage the rapid generation of tooling and transforms over to export to, or import from, common HDLs (Verilog-in via a custom intermediate representation. We describe PyRTL as a language, its core semantics, the transform generation interface, Yosys [1] and BLIF-in, Verilog-out) are also supported. More and explore its application to several different design patterns and information about PyRTL’s high level flow can be found in analysis tools. Also, we demonstrate the integration of PyRTL- Figure 1. generated hardware overlays into Xilinx PYNQ platform. -
Implementation of PS2 Keyboard Controller IP Core for on Chip Embedded System Applications
The International Journal Of Engineering And Science (IJES) ||Volume||2 ||Issue|| 4 ||Pages|| 48-50||2013|| ISSN(e): 2319 – 1813 ISSN(p): 2319 – 1805 Implementation of PS2 Keyboard Controller IP Core for On Chip Embedded System Applications 1, 2, Medempudi Poornima, Kavuri Vijaya Chandra 1,M.Tech Student 2,Associate Proffesor. 1,2,Prakasam Engineering College,Kandukuru(post), Kandukuru(m.d), Prakasam(d.t). -----------------------------------------------------------Abstract----------------------------------------------------- In many case on chip systems are used to reduce the development cycles. Mostly IP (Intellectual property) cores are used for system development. In this paper, the IP core is designed with ALTERA NIOSII soft-core processors as the core and Cyclone III FPGA series as the digital platform, the SOPC technology is used to make the I/O interface controller soft-core such as microprocessors and PS2 keyboard on a chip of FPGA. NIOSII IDE is used to accomplish the software testing of system and the hardware test is completed by ALTERA Cyclone III EP3C16F484C6 FPGA chip experimental platform. The result shows that the functions of this IP core are correct, furthermore it can be reused conveniently in the SOPC system. ---------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 8 April 2013 Date Of Publication: 25, April.2013 ---------------------------------------------------------------------------------------------------------------------------------------