Small Soft Core up Inventory ©2014 James Brakefield Opencore and Other Soft Core Processors
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L'universite BORDEAUX 1 DOCTEUR Ahmed BEN ATITALLAH
N° d’ordre 3409 THESE présentée à L’UNIVERSITE BORDEAUX 1 ECOLE DOCTORALE DES SCIENCES PHYSIQUES ET DE L’INGENIEUR POUR OBTENIR LE GRADE DE DOCTEUR SPECIALITE : ELECTRONIQUE Par Ahmed BEN ATITALLAH Etude et Implantation d’Algorithmes de Compression d’Images dans un Environnement Mixte Matériel et Logiciel Soutenue le : 11 Juillet 2007 Après avis de : M. Noureddine ELLOUZE Professeur à l’ENIT, Tunis, Tunisie Rapporteur M. Patrick GARDA Professeur à l’Université Paris VI Rapporteur Devant la Commission d’examen formée de : M. Lotfi KAMOUN Professeur à l’ENIS, Sfax, Tunisie Président M. Patrick GARDA Professeur à l’Université Paris VI Rapporteur M. Noureddine ELLOUZE Professeur à l’ENIT, Tunis, Tunisie Rapporteur M. Philippe MARCHEGAY Professeur à l’ENSEIRB M. Nouri MASMOUDI Professeur à l’ENIS, Sfax, Tunisie M. Patrice KADIONIK Maître de Conférences à l’ENSEIRB M. Patrice NOUEL Maître de Conférences à l’ENSEIRB -2007- A mes parents A ma famille A tous ceux qui me tiennent à cœur REMERCIEMENTS Cette thèse s’est effectuée en cotutelle entre l’équipe circuits et systèmes du Laboratoire d'Electronique et des Technologies de l'Information (LETI) de l’ENIS à Sfax, Tunisie ainsi que dans l’équipe Circuits Intégrés Numériques du Laboratoire de l’Intégration du Matériau au Système (IMS) de l’Université de Bordeaux et de l’ENSEIRB. Je remercie Monsieur le Professeur Nouri MASMOUDI ainsi que Monsieur le Professeur Philippe MARCHEGAY pour m’avoir accueilli au sein de leur équipe et pour l’intérêt qu’ils ont porté au déroulement de mes travaux. Je tiens à présenter ma vive gratitude à Monsieur Patrice KADIONIK, Maître de conférences à l’ENSEIRB, co-encadrant de ma thèse et Monsieur Patrice NOUEL, Maître de conférences à l’ENSEIRB, qui ont contribué activement à la réalisation de mes travaux, d’une part pour leurs conseils efficaces, leurs grandes compétences mais aussi pour leurs grandes qualités humaines. -
AVR32 EVK1105 Evaluation Kit
Your Electronic Engineering Resource ATMEL - ATEVK1105 - AVR32 EVK1105 Evaluation Kit Product Overview: The AVR32 EVK1105 is an evaluation kit for the AT32UC3A3256 which combines Atmel’s state of art AVR32 microcontroller with an unrivalled selection of communication interface like USB device including On-The-Go functionality, SDcard, NAND flash with ECC and stereo 16-bit DAC. The AVR32 EVK1105 is an evaluation kit for the AT32UC3A0512 which demonstrates Atmel’s state-of-the-art AVR32 microcontroller in Hi-Fi audio decoding and streaming applications. Kit Contents: The kit contains reference hardware and software for generic MP3 player docking stations. Key Features: High Performance, Low Power AVR®32 UC 32-Bit Microcontroller Multi-Layer Bus System Internal High-Speed Flash Internal High-Speed SRAM Interrupt Controller Power and Clock Manager Including Internal RC Clock and One 32KHz Oscillator Two Multipurpose Oscillators and Two Phase-Lock-Loop (PLL), Watchdog Timer, Real-Time Clock Timer External Memories MultiMediaCard (MMC), Secure-Digital (SD), SDIO V1.1 CE-ATA, FastSD, SmartMedia, Compact Flash Memory Stick: Standard Format V1.40, PRO Format V1.00, Micro IDE Interface One Advanced Encryption System (AES) for AT32UC3A3256S, AT32UC3A3128S and AT32UC3A364S Universal Serial Bus (USB) One 8-channel 10-bit Analog-To-Digital Converter, multiplexed with Digital IOs. Legal Disclaimer: The content of the pages of this website is for your general information and use only. It is subject to change without notice. From time to time, this website may also include links to other websites. These links are provided for your convenience to provide further information. They do not signify that we endorse the website(s). -
Schedule 14A Employee Slides Supertex Sunnyvale
UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 SCHEDULE 14A Proxy Statement Pursuant to Section 14(a) of the Securities Exchange Act of 1934 Filed by the Registrant Filed by a Party other than the Registrant Check the appropriate box: Preliminary Proxy Statement Confidential, for Use of the Commission Only (as permitted by Rule 14a-6(e)(2)) Definitive Proxy Statement Definitive Additional Materials Soliciting Material Pursuant to §240.14a-12 Supertex, Inc. (Name of Registrant as Specified In Its Charter) Microchip Technology Incorporated (Name of Person(s) Filing Proxy Statement, if other than the Registrant) Payment of Filing Fee (Check the appropriate box): No fee required. Fee computed on table below per Exchange Act Rules 14a-6(i)(1) and 0-11. (1) Title of each class of securities to which transaction applies: (2) Aggregate number of securities to which transaction applies: (3) Per unit price or other underlying value of transaction computed pursuant to Exchange Act Rule 0-11 (set forth the amount on which the filing fee is calculated and state how it was determined): (4) Proposed maximum aggregate value of transaction: (5) Total fee paid: Fee paid previously with preliminary materials. Check box if any part of the fee is offset as provided by Exchange Act Rule 0-11(a)(2) and identify the filing for which the offsetting fee was paid previously. Identify the previous filing by registration statement number, or the Form or Schedule and the date of its filing. (1) Amount Previously Paid: (2) Form, Schedule or Registration Statement No.: (3) Filing Party: (4) Date Filed: Filed by Microchip Technology Incorporated Pursuant to Rule 14a-12 of the Securities Exchange Act of 1934 Subject Company: Supertex, Inc. -
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. -
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. -
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. -
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.