Review of FPD's Languages, Compilers, Interpreters and Tools
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EP Activity Report 2014
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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. -
From Signal Temporal Logic to FPGA Monitors
From Signal Temporal Logic to FPGA Monitors Stefan Jaksiˇ c´∗, Ezio Bartocci†, Radu Grosu†, Reinhard Kloibhofer∗, Thang Nguyen‡ and Dejan Nickoviˇ c´∗ ∗AIT Austrian Institute of Technology, Austria †Faculty of Informatics, Vienna University of Technology, Austria ‡Infineon Technologies AG, Austria Abstract— allows very long tests that are not possible with simulation- based methods. Design emulation is used both to explore Due to the heterogeneity and complexity of systems-of- systems (SoS), their simulation is becoming very time consuming, the behavior of digital and analog components. In the latter expensive and hence impractical. As a result, design simulation is case, the (possibly mixed signal) component is approximated increasingly being complemented with more efficient design em- with its discretized behavioral model. By combining these two ulation. Runtime monitoring of emulated designs would provide approaches, we provide a rigorous method for runtime verifi- a precious support in the verification activities of such complex cation of long executions resulting from mixed signal design systems. emulations. In addition to design emulations, our proposed We propose novel algorithms for translating signal temporal solution can be used to monitor real mixed-signal devices in logic (STL) assertions to hardware runtime monitors imple- post-silicon validation in real-time. mented in field programmable gate array (FPGA). In order to We choose Signal Temporal Logic (STL) [13] as our accommodate to this hardware specific setting, we restrict our- selves to past and bounded future temporal operators interpreted specification language. STL allows describing complex timing over discrete time. We evaluate our approach on two examples: relations between digital and analog “events”, where the latter the mixed signal bounded stabilization property; and the serial are specified via numerical predicates. -
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. -
Download the Compiled Program File Onto the Chip
International Journal of Computer Science & Information Technology (IJCSIT) Vol 4, No 2, April 2012 MPP SOCGEN: A FRAMEWORK FOR AUTOMATIC GENERATION OF MPP SOC ARCHITECTURE Emna Kallel, Yassine Aoudni, Mouna Baklouti and Mohamed Abid Electrical department, Computer Embedded System Laboratory, ENIS School, Sfax, Tunisia ABSTRACT Automatic code generation is a standard method in software engineering since it improves the code consistency and reduces the overall development time. In this context, this paper presents a design flow for automatic VHDL code generation of mppSoC (massively parallel processing System-on-Chip) configuration. Indeed, depending on the application requirements, a framework of Netbeans Platform Software Tool named MppSoCGEN was developed in order to accelerate the design process of complex mppSoC. Starting from an architecture parameters design, VHDL code will be automatically generated using parsing method. Configuration rules are proposed to have a correct and valid VHDL syntax configuration. Finally, an automatic generation of Processor Elements and network topologies models of mppSoC architecture will be done for Stratix II device family. Our framework improves its flexibility on Netbeans 5.5 version and centrino duo Core 2GHz with 22 Kbytes and 3 seconds average runtime. Experimental results for reduction algorithm validate our MppSoCGEN design flow and demonstrate the efficiency of generated architectures. KEYWORD MppSoC, Automatic code generation; mppSoC configuration;parsing ; MppSoCGEN; 1. INTRODUCTION Parallel machines are most often used in many modern applications that need regular parallel algorithms and high computing resources, such as image processing and signal processing. Massively parallel architectures, in particular Single Instruction Multiple Data (SIMD) systems, have shown to be powerful executers for data-intensive applications [1]. -
Eee4120f Hpes
Lecture 22 HDL Imitation Method, Benchmarking and Amdahl's for FPGAs Lecturer: HDL HDL Imitation Simon Winberg Amdahl’s for FPGA Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) HDL Imitation Method Using Standard Benchmarks for FPGAs Amdahl’s Law and FPGA or ‘C-before-HDL approach to starting HDL designs. An approach to ‘golden measures’ & quicker development void mymod module mymod (char* out, char* in) (output out, input in) { { out[0] = in[0]^1; out = in^1; } } The same method can work with Python, but C is better suited due to its typical use of pointer. This method can be useful in designing both golden measures and HDL modules in (almost) one go … It is mainly a means to validate that you algorithm is working properly, and to help get into a ‘thinking space’ suited for HDL. This method is loosely based on approaches for C→HDL automatic conversion (discussed later in the course) HDL Imitation approach using C C program: functions; variables; based on sequence (start to end) and the use of memory/registers operations VHDL / Verilog HDL: Implements an entity/module for the procedure C code converted to VHDL Standard C characteristics Memory-based Variables (registers) used in performing computation Normal C and C programs are sequential Specialized C flavours for parallel description & FPGA programming: Mitrion-C , SystemC , pC (IBM Parallel C) System Crafter, Impulse C , OpenCL FpgaC Open-source (http://fpgac.sourceforge.net/) – does generate VHDL/Verilog but directly to bit file Best to simplify this approach, where possible, to just one module at a time When you’re confident the HDL works, you could just leave the C version behind Getting a whole complex design together as both a C-imitating-HDL program and a true HDL implementation is likely not viable (as it may be too much overhead to maintain) Example Task: Implement an countup module that counts up on target value, increasing its a counter value on each positive clock edge. -
MACABEL ABEL for the APPLE MACINTOSH Nor IIX WORKSTATION A/UX VERSION
SPECIFICATIONS MACABEL ABEL FOR THE APPLE MACINTOSH nOR IIX WORKSTATION A/UX VERSION GENERAL DESCRIPTION ABEL.'" the industry standard PLD design software, is now available on the Apple Macintosh® II or IIx workstation. MacABEL allows you to take advantage of the personal productivity features of the Macintosh to easily describe and implement logic designs in programmable logic devices (PLDs) and PROMs. Like ABEL Version 3.0 for other popular workstations, MacABEL combines a natural high-level design language with a language processor that converts logic descriptions to programmer load files. These files contain the required information to program and test PLDs. MacABEL allows you to describe your design in any combi nation of Boolean equations, truth tables or state diagrams whichever best suits the logic you are describing or your comfort level. Meaningful names can be assigned to signals; signals grouped into sets; and macros used to simplify logic descriptions - making your logic design easy to read and • Boolean equations understand. • State machine diagram entry, using IF-THEN-ELSE, CASE, In addition, the software's language processor provides GOTQ and WITH-ENDWITH statements powerful logic reduction, extensive syntax and logic error • Truth tables to specify input to output relationships for both checking - before your device is programmed. MacABEL combinatorial and registered outputs supports the most powerful and innovative complex PLDs just • High-level equation entry, incorporating the boolean introduced on the market, as well as many still in development. operators used in most logic designs < 1 1 & 1 # 1 $ 1 1 $ ) , MacABEL runs under the Apple A/UX'" operating system arithmetic operators <- I + I * I I I %I < < I > > ) , relational utilizing the Macintosh user interface. -
I/O Design and Core Power Management Issues in Heterogeneous Multi/Many-Core System-On-Chip
UNIVERSITY OF CALIFORNIA, IRVINE I/O Design and Core Power Management Issues in Heterogeneous Multi/Many-Core System-on-Chip DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Computer Science by Myoung-Seo Kim Dissertation Committee: Professor Jean-Luc Gaudiot, Chair Professor Alexandru Nicolau, Co-Chair Professor Alexander Veidenbaum 2016 c 2016 Myoung-Seo Kim DEDICATION To my father and mother, Youngkyu Kim and Heesook Park ii TABLE OF CONTENTS Page LIST OF FIGURES vi LIST OF TABLES viii ACKNOWLEDGMENTS ix CURRICULUM VITAE x ABSTRACT OF THE DISSERTATION xv I DESIGN AUTOMATION FOR CONFIGURABLE I/O INTERFACE CONTROL BLOCK 1 1 Introduction 2 2 Related Work 4 3 Structure of Generic Pin Control Block 6 4 Specification with Formalized Text 9 4.1 Formalized Text . 9 4.2 Specific Functional Requirement . 11 4.3 Composition of Registers . 11 5 Experiment Results 18 6 Conclusions 24 II SPEED UP MODEL BY OVERHEAD OF DATA PREPARATION 26 7 Introduction 27 8 Reconsidering Speedup Model by Overhead of Data Preparation (ODP) 29 iii 9 Case Studies of Our Enhanced Amdahl's Law Speedup Model 33 9.1 Homogeneous Symmetric Multicore . 33 9.2 Homogeneous Asymmetric Multicore . 35 9.3 Homogeneous Dynamic Multicore . 36 9.4 Heterogeneous CPU-GPU Multicore . 39 9.5 Heterogeneous Dynamic CPU-GPU Multicore . 41 10 Conclusions 43 III EFFICIENT CORE POWER CONTROL SCHEME 44 11 Introduction 45 12 Related Work 47 13 Architecture 51 13.1 Heterogeneous Many-Core System . 51 13.2 Discrete L2 Cache Memory Model . 52 14 3-Bit Power Control Scheme 55 14.1 Active Status . -
CHAPTER 3: Combinational Logic Design with Plds
CHAPTER 3: Combinational Logic Design with PLDs LSI chips that can be programmed to perform a specific function have largely supplanted discrete SSI and MSI chips in board-level designs. A programmable logic device (PLD), is an LSI chip that contains a “regular” circuit structure, but that allows the designer to customize it for a specific application. PLDs sold in the market is not customized with specific functions. Instead, it is programmed by the purchaser to perform a function required by a particular application. PLD-based board-level designs often cost less than SSI/MSI designs for a number of reasons. Since PLDs provide more functionality per chip, the total chip and printed- circuit-board (PCB) area are less. Manufacturing costs are reduced in other ways too. A PLD-based board manufacturer needs to keep samples of few, “generic” PLD types, instead of many different MSI part types. This reduces overall inventory requirements and simplifies handling. PLD-type structures also appear as logic elements embedded in LSI chips, where chip count and board areas are not an issue. Despite the fact that a PLD may “waste” a certain number of gates, a PLD structure can actually reduce circuit cost because its “regular” physical structure may use less chip area than a “random logic” circuit. More importantly, the logic function performed by the PLD structure can often be “tweaked” in successive chip revisions by changing just one or a few metal mask layers that define signal connections in the array, instead of requiring a wholesale addition of gates and gate inputs and subsequent re-layout of a “random logic” design. -
Metadefender Core V4.12.2
MetaDefender Core v4.12.2 © 2018 OPSWAT, Inc. All rights reserved. OPSWAT®, MetadefenderTM and the OPSWAT logo are trademarks of OPSWAT, Inc. All other trademarks, trade names, service marks, service names, and images mentioned and/or used herein belong to their respective owners. Table of Contents About This Guide 13 Key Features of Metadefender Core 14 1. Quick Start with Metadefender Core 15 1.1. Installation 15 Operating system invariant initial steps 15 Basic setup 16 1.1.1. Configuration wizard 16 1.2. License Activation 21 1.3. Scan Files with Metadefender Core 21 2. Installing or Upgrading Metadefender Core 22 2.1. Recommended System Requirements 22 System Requirements For Server 22 Browser Requirements for the Metadefender Core Management Console 24 2.2. Installing Metadefender 25 Installation 25 Installation notes 25 2.2.1. Installing Metadefender Core using command line 26 2.2.2. Installing Metadefender Core using the Install Wizard 27 2.3. Upgrading MetaDefender Core 27 Upgrading from MetaDefender Core 3.x 27 Upgrading from MetaDefender Core 4.x 28 2.4. Metadefender Core Licensing 28 2.4.1. Activating Metadefender Licenses 28 2.4.2. Checking Your Metadefender Core License 35 2.5. Performance and Load Estimation 36 What to know before reading the results: Some factors that affect performance 36 How test results are calculated 37 Test Reports 37 Performance Report - Multi-Scanning On Linux 37 Performance Report - Multi-Scanning On Windows 41 2.6. Special installation options 46 Use RAMDISK for the tempdirectory 46 3. Configuring Metadefender Core 50 3.1. Management Console 50 3.2. -
An Implementation of Lola-2 Or Translating from Lola to Verilog
An Implementation of Lola-2 or Translating from Lola to Verilog N.Wirth, 30.11.2014 1. Introduction The hardware description language Lola (Logic Language) was designed in 1990 as an effort to present a simple and effective textual description of digital circuits. At that time, the conventional style was still graphical (circuit charts), and it was not evident that textual descriptions would replace them entirely within 20 years. Also, there were no means available to automatically transfer them into physical circuits of electronic components. However, field-programmable gate arrays (FPGA) appeared, and although they were far too restrictive (small) for most practical purposes, they seemed to be a promising gateway towards introducing textual specifications with the hope of future automatic generation of real circuits. That this hope was well-founded is now evident. The difficult part of implementation in 1990 was not the compilation of the textual descriptions into net lists of gates and wires. It was rather the placement of components and routing of wires. And this still remains so. But even if this task is achieved, the compiled output is to be down-loaded into the FPGA. For this purpose, the format of the data, the bit-stream format, must be known. Whereas at the time we obtained this information from two FPGA manufacturers, it is now strictly proprietary in the case of the dominating manufacturers, a severe case of interface secrecy. In the course of reviving activities of 25 years ago around Oberon, also the hardware description language (HDL) Lola reappeared. Now textual descriptions of hardware are common place, the preferred languages being Verilog and VHDL. -
A Highly Configurable High-Level Synthesis Functional Pattern Library
electronics Article A Highly Configurable High-Level Synthesis Functional Pattern Library Lan Huang 1,2,‡, Teng Gao 1,‡, Dalin Li 1,†, Zihao Wang 1 and Kangping Wang 1,2,* 1 College of Computer Science and Technology, Jilin University, Changchun 130012, China; [email protected] (L.H.); [email protected] (T.G.); [email protected] (D.L.); [email protected] (Z.W.) 2 Key Laboratory of Symbolic Computation and Knowledge Engineering, Jilin University, Changchun 130012, China * Correspondence: [email protected] † Current address: Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Department of Computer Science and Technology, Zhuhai College of Jilin University, Zhuhai 519041, China. ‡ These authors contributed equally to this work. Abstract: FPGA has recently played an increasingly important role in heterogeneous computing, but Register Transfer Level design flows are not only inefficient in design, but also require designers to be familiar with the circuit architecture. High-level synthesis (HLS) allows developers to design FPGA circuits more efficiently with a more familiar programming language, a higher level of abstraction, and automatic adaptation of timing constraints. When using HLS tools, such as Xilinx Vivado HLS, specific design patterns and techniques are required in order to create high-performance circuits. Moreover, designing efficient concurrency and data flow structures requires a deep understanding of the hardware, imposing more learning costs on programmers. In this paper, we propose a set of functional patterns libraries based on the MapReduce model, implemented by C++ templates, Citation: Huang, L.; Gao,T.; Li, D.; which can quickly implement high-performance parallel pipelined computing models on FPGA with Wang, Z.; Wang, K.