Synthesis of robust controllers for GALS_FPGA from multi-burst graph specification

Field Programmable Gate Array (FPGA) devices are coming very strongly in the digital hardware systems due to the availability of ready to use resources, parallel logic operations and reconfigurable designs. The usage of FPGA systems in real time domain is also a very fruitful proposition as the FPGA devices are coming with processing cores for Real Time data processing. In a complex system scenario involving a large amount of processing tasks, there is a requirement of building the system using multiple FPGA devices. To make this possible we have to establish a real time data communication between the FPGA devices and to make it even better we have to apply data encryption techniques for making this communication secured.In this paper we demonstrate the design and implementation of a 32-bit RSA algorithms by developing suitable Hardware and Software design on Xilinx Spartan- 3E (XC3S500E-FG320) device, the implementation has been tested successfully for real time serial data communication between multiple FPGA devices using the RS232 serial interface. This development work is also useful for the embedded applications, which requires on board execution of security algorithms. The system is optimized in terms of execution speed and also has been verified using real time debugging tools.

Building the machines that advance scientific knowledge is one of the most significant challenges of our time. So-called Big Science instruments are unique; the expertise required to build them is multidisciplinary, and few countries can build and maintain them. Since resources and budgets are not unlimited, these require efficient solutions. Big Science machines take a decade to plan, a decade to build, and at least a decade to operate. One such machine is the largest fusion reactor project, ITER, which promises to be the next step in fusion research and has a big challenge in system integration. To mitigate the integration effort, ITER has invested in standardization, both in software and hardware, introducing standard instrumentation software named Nominal Device Support (NDSv3); Micro Telecommunication Computing Architecture (MTCA) as the long-term hardware standard choice, and EPICS as a general-purpose distributed control system. These control systems are essential in the management of the facility. They provide functions such as communication protocols, process management, monitoring, alarms, and human-machine interfaces. But also, more advanced access to databases or data acquisition systems. The latter is typically managed by a Field Programmable Gate Array (FPGA), of which facilities can easily have thousands of these FPGAs managing millions of signals within the control system environment. Nevertheless, these FPGA data acquisition (DAQ) systems continue to be labor-intensive. Standardized, modular, and open-source frameworks have been proposed to solve this problem, however, the FPGA programming expertise requirement remained. This thesis proposes a complete technology stack that considers these DAQ systems from the control system to the hardware. It provides a methodology using the Open Computing Language (OpenCL) to reduce the FPGA programming effort. The FPGA devices are programmed using C/C++-like environments, which are much simpler than traditional Hardware Description Languages (HDLs). The software, named IRIO-OpenCL, is written in C++ following ITER's NDSv3 model, which abstracts and generalizes the development of software device drivers and simplifies the interface to EPICS. IRIO-OpenCL is specifically designed to simplify the integration of intelligent instrumentation systems, allowing the integration of algorithms into the FPGA without modifying large parts of the supporting library. The MTCA standard was chosen to maintain modularity. The chassis backplane connects to the devices via Ethernet and PCIe, enabling standard communications. The Advanced Mezzanine Card is the typical MTCA FPGA-based DAQ carrier board. It connects the FPGA to the chassis backplane and typically provides FPGA Mezzanine Connectors (FMCs) for plugging in analog-to-digital (ADC) carrier boards. An ADC connected via the FMC interface samples the analog signals passed to the OpenCL processing kernels. Using OpenCL, the FPGA kernels communicate with the host machine in a standardized way. To demonstrate the applicability of this methodology, reference problems were selected from the literature and implemented, both with traditional and deep learning (DL) solutions. The methodology elaborates on connecting the OpenCL kernels for any use case, and the results show examples of kernel sets. The neutron flux measurement problem is solved at 1GS/s in real time using pulse counting and Campbell techniques, using 40% of the target Arria10 FPGA. The DL application example is based on a neutron/gamma discrimination neural network (NN) that achieves a classification rate of up to 1.3 MEvents/s using less than 25% of the target resource. RESUMEN Construir máquinas que avancen el conocimiento científico es uno de los desafíos más significativos de nuestro tiempo. Los instrumentos de la llamada Big Science son únicos; las competencias requeridas para su construcción son multidisciplinares, y pocos países pueden construirlos y mantenerlos. Dado que los recursos y presupuestos no son ilimitados, estos requieren soluciones eficientes. Las máquinas de Gran Ciencia tardan una década en planificarse, una década en construirse y al menos una década en operarse. Una de estas máquinas es el proyecto del reactor de fusión más grande, ITER, que promete ser el siguiente paso en la investigación de fusión y presenta un gran desafío en la integración de sistemas. Para mitigar el esfuerzo de integración, ITER ha invertido en estandarización, tanto en software como en hardware, introduciendo un software de instrumentación estándar llamado Nominal Device Support v3 (NDSv3); Micro Telecommunication Computing Architecture (MTCA) como la elección estándar de hardware a largo plazo, y EPICS como un sistema de control distribuido de propósito general. Estos sistemas de control son esenciales en la gestión de la instalación ya que proporcionan funciones como protocolos de comunicación, gestión de procesos, monitorización, alarmas e interfaces de usuario, además de acceso avanzado a bases de datos o sistemas de adquisición de datos. Este último es típicamente gestionado por un Field Programmable Gate Array (FPGA), de los cuales las instalaciones pueden tener fácilmente miles de unidades gestionando millones de señales dentro del entorno del sistema de control. Estos sistemas de adquisición de datos (DAQ) con FPGA siguen requiriendo programación experta y laboriosa. Se han propuesto marcos estandarizados, modulares y de código abierto para resolver este problema, sin embargo, la necesidad de experiencia en programación FPGA no se ha podido eludir. Esta tesis propone una pila de tecnologías que considera estos sistemas DAQ desde el sistema de control hasta el hardware. Proporciona una metodología utilizando el Open Computing Language (OpenCL) para reducir el esfuerzo de programación FPGA. Los dispositivos FPGA se programan utilizando entornos similares a C/C++, que son mucho más simples que los Lenguajes de Descripción de Hardware (HDL) tradicionales. El software, llamado IRIO-OpenCL, está escrito en C++ siguiendo el modelo de NDSv3 de ITER, que abstrae y generaliza el desarrollo de controladores de dispositivos de software y simplifica la interfaz con EPICS. IRIO-OpenCL está específicamente diseñado para simplificar la integración de sistemas de instrumentación inteligentes, permitiendo la integración de algoritmos en el FPGA sin modificar grandes partes de la biblioteca de soporte. El estándar MTCA fue elegido para mantener la modularidad. El backplane del chasis se conecta a los dispositivos a través de Ethernet y PCIe, habilitando comunicaciones estándar. La Advanced Mezzanine Card es la placa portadora DAQ FPGA típica de MTCA, que conecta el FPGA al backplane del chasis y típicamente proporciona FPGA Mezzanine Connectors (FMC) para conectar placas con conversores analógico-digitales (ADC). Un ADC conectado a través de la interfaz FMC muestrea las señales analógicas pasadas a los núcleos de procesamiento OpenCL. Utilizando OpenCL, los núcleos FPGA se comunican con la máquina anfitriona de una manera estandarizada. Para demostrar la aplicabilidad de esta metodología, se seleccionaron e implementaron problemas de referencia de la literatura, tanto con soluciones tradicionales como de Deep Learning (DL). La metodología elabora ejemplos de conexión de núcleos OpenCL para cualquier caso de uso, y los resultados muestran ejemplos de conjuntos de núcleos. El problema de medición del flujo de neutrones se resuelve a 1GS/s en tiempo real utilizando técnicas de conteo de pulsos y Campbell, utilizando el 40% del objetivo FPGA Arria10. El ejemplo de aplicación DL se basa en una red neuronal para la discriminación neutrones/gammas que logra una tasa de clasificación de hasta 1.3 MEventos/s utilizando menos del 25% de la FPGA objetivo. LABURPENA Ezagutza zientifikoa aurreratzen duten makinak eraikitzea gure garaiko erronka garrantzitsuenetako bat da. Big Science deritzonaren makinak bakarrak dira; beharrezko esperientzia diziplina anitzekoa da, eta herrialde gutxik eraiki eta mantendu ditzakete. Baliabideak eta aurrekontuak mugagabeak ez direnez, konponbide eraginkorrak behar dira. Zientzia Handi makinak hamarkada bat behar dute diseinatuak izateko, hamarkada bat eraikitzeko eta gutxienez hamarkada bat jarduteko. Makina horietako bat fusio-erreaktore handienaren proiektua da, ITER, fusio-ikerketan hurrengo urratsa izango dena eta sistemak integratzeko erronka handia aurkezten duena. Integrazio-ahalegina arintzeko, ITERek estandarizazioan inbertitu du, bai softwarean bai - eta EPICS helburu orokorreko kontrol-sistema banatua. Kontrol-sistema horiek funtsezkoak dira instalazioa kudeatzeko. Komunikazio-protokoloak, prozesuen kudeaketa, monitorizazioa, alarmak eta pertsona-makina interfazeak bezalako funtzioak ematen dituzte, datubaseetarako edo datuak eskuratzeko sistemetarako sarbide aurreratua izateaz gain. Azken hori "Field Programmable Gate Array" (FPGA) batek kudeatzen du, milaka FPGA konektatuz makina bakoitzean eta kontrol-sistemaz milioika seinale kudeatuz. FPGA duten datuak eskuratzeko sistemek (DAQ) programazio aditua eta neketsua eskatzen jarraitzen dute. Problema hori ebazteko marko estandarizatuak, modularrak eta kode irekikoak proposatu dira, hala ere, FPGA hardware programazio espezializatuaren beharra ezin izan da ukatu. Tesi honek DAQ sistema hauek kontrol sistematik hardwareraino kontsideratuz teknologia bilduma bat programazio-ahalegina murrizten du. FPGA gailuak C/C++ antzeko inguruneak erabiliz programatzen dira, - OpenCL izenekoa, C++n idatzita dago, ITERren "Nominal Device Support v3" (NDSv3) eredua jarraituz. Honek software-gailuen garapena diseinu abstraktu eta orokorrez EPICSekiko interfazea sinplifikatzen du. IRIOOpenCL berariaz diseinatuta dago instrumentazio-sistema adimendunen integrazioa sinplifikatzeko, eta algoritmoak FPGAn integratzea ahalbidetzen du, software zati handiak aldatu gabe. Modularitateari eusteko, MTCA estandarra aukeratu da. Txasisaren backplanea Ethernet eta PCIe bidez konektatzen da gailuetara, komunikazio estandarrak gaituz. "Advanced Mezzanine Card" MTCAren ohiko DAQ FPGA plaka eramailea da. FPGA txasisaren backplanera konektatzen du eta, normalean, "FPGA Mezzanine Connectors"ak (FMC) ditu plaka bihurgailu analogiko-digitalak (ADC) konektatzeko. ADCak, FMC interfazearen bidez konektatuta, OpenCL prozesatze-nukleoetara igarotako seinale analogikoak bihurtzen ditu. OpenCL erabiliz, FPGA nukleoak ordenagailuarekin modu estandarizatuan komunikatzen dira. Metodologia horren aplikagarritasuna egiaztatzeko, erreferentziazko adibideak literaturatik hautatu eta nukleoen konexio-adibideak egiten ditu, edozein kasutan erabiltzeko, eta emaitzek nukleo multzoen adibideak erakusten dituzte. Neutroi-fluxuaren neurketak 1GS/s-ko ebazten dira real time errendimenduaz, pultsuak eta Campbell zenbatzeko teknikak erabiliz, Arria10 FPGAren % 40 erabiliz. Azkenik, DL aplikazioaren adibidea, neutroi/gamma sailkapena, sare neuronal batean oinarritzen da, eta FPGAren baliabideen % 25 baino gutxiago erabiliz 1.3 MSailkapen/s sailkapen-tasa lortzen du.

This article presents a critical literature review on the security aspects of field-programmable gate array (FPGA) devices. FPGA devices present unique challenges to cybersecurity through their reconfigurable nature. The article also pays special attention to emerging system-on-chip (SoC) FPGA devices that incorporate a hard processing system (HPS) on the same die as the FPGA logic. While this incorporation reduces the need for vulnerable external signals, the HPS in SoC FPGA devices adds a level of complexity that is not present for stand-alone FPGA devices. This added complexity necessarily hands over the task of securing the device to developers. Even with standard security features in place, the HPS might still have unhindered access to the FPGA logic. A single software flaw could open up a breach that might allow an attacker to extract the FPGA’s configuration data. A robust cybersecurity strategy is thus required for developers. As such, this work aims to provide the groundwork to build a solid threat-based cybersecurity design strategy that is specially adapted to SoC FPGA devices.

In today's nanometric VLSI designs achieving both power and performance targets is the top most priority for design closure. Globally asynchronous locally synchronous (GALS) architectures can offer less dynamic power and improved performance due to absence of global clock. In GALS SoC architectures each synchronous blocks runs on their local clocks. Synchronous blocks communicate with each other by pausing their local clocks using an asynchronous interface which is implemented using various handshake protocols. However any synchronous block which has to wait long time for data from another block need to be in idle state and as a result will dissipate significant leakage power in nanometric designs. Power gating is an effective technique to reduce leakage power of an idle circuit in synchronous designs. However implementing such power gating interface in GALS architecture is a challenge in the absence of clock. Thus to reduce the leakage power in ideal blocks which are waiting for the data, a new GALS wrapper interface was proposed which can generate power gating sequence. To corroborate the proposed interface a GALS 8051 was implemented using Synopsys SAED 90 nm libraries. The power gating sequence of 8051 asynchronous wrappers are used to gate the power of Random Access Memory (RAM) block while Arithmetic Logic Unit (ALU) block is busy in doing arithmetic operations. The experimental results show a 30% reduction in leakage power of RAM block due to power gating.

Component-aging is unavoidable in legacy systems. Although re-designing the system typically results in a high cost, the need to replace aged components for legacy systems is an urgent priority. Unfortunately, the aged components are likely to be obsolete and not available on the current market. Obsolete component replacement with field-programmable gate array (FPGA) devices is emerging as a feasible option to extend the lifetime of legacy systems. While replacing the aged component, we traditionally only focus on matching the functionality and neglect the potential security threats from FPGA replacement. However, recent literature demonstrates that FPGA devices may contain hardware Trojans, which are induced during FPGA device fabrication or bitstream generation time. To prevent the Trojans on FPGA from receiving external inputs or leaking sensitive information, we propose a Runtime Pin Grounding (RPG) scheme to ground the unused pins and check the pin status at every clock cycle. Furthermore, we exploit the principle of moving target defense (MTD) and propose a hardware MTD (HMTD) method. In our method, the aged obsolete unit is replicated to multiple copies in the FPGA device, and two of the replicas are randomly selected for output comparison and thus Trojan detection. We successfully implemented the proposed RPG and HMTD methods on a Nexys-3 FPGA board. Our case study shows that the proposed RPG scheme increases the FPGA utilization rate by less than 0.1%. On average, our HMTD method reduces the hardware Trojan bypass rate by 61% over the existing method.

Globally asynchronous, locally synchronous (GALS) systems-on-chip (SoCs) may be prone to synchronization failures if the delay of their locally-generated clock tree is not considered. This paper presents an in-depth analysis of the problem and proposes a novel solution. The problem is analyzed considering the magnitude of clock tree delays, the cycle times of the GALS module, and the complexity of the asynchronous interface controllers using a timed signal transition graph (STG) approach. In some cases, the problem can be solved by extracting all the delays and verifying whether the system is susceptible to metastability. In other cases, when high data bandwidth is not required, matched-delay asynchronous ports may be employed. A novel architecture for synchronizing inter-modular communications in GALS, based on locally delayed latching (LDL), is described. LDL synchronization does not require pausable clocking, is insensitive to clock tree delays, and supports high data rates. It replaces complex global timing constraints with simpler localized ones. Three different LDL ports are presented. The risk of metastability in the synchronizer is analyzed in a technology-independent manner

A low-power time-to-digital convertor (TDC) for an application inside a vacuum has been implemented based on the Wave Union TDC scheme in a low-cost field-programmable gate array (FPGA) device. Bench top tests have shown that a time measurement resolution better than 30 ps (standard deviation of time differences between two channels) is achieved. Special firmware design practices are taken to reduce power consumption. The measurements indicate that with 32 channels fitting in the FPGA device, the power consumption on the FPGA core voltage is approximately 9.3 mW/channel and the total power consumption including both core and I/O banks is less than 27 mW/channel.

The type of Field Programmable Gate Arrays (FPGAs) technology and device family used in a design is a key factor for system reliability. Though antifuse-based FPGAs are widely used in aerospace because of their high reliability, current antifuse-based FPGA devices are expensive and leave no room for mistakes or changes since they are not reprogrammable. The substitute for antifuse-based FPGAs are needed in aerospace design, they should be both reprogrammable and highly reliable to Single Event Upset effects (SEUs). SRAM-based FPGAs are widely and systematically used in complex embedding digital systems both in a single chip industry and commercial applications. They are reprogrammable and high in density because of the smaller SRAM cells and logic structures. But the SRAM-based FPGAs are especially sensitive to cosmic radiation because the configuration information is stored in SRAM memory. The ideal FPGA for aerospace use should be high-density SRAM-based which is also insensitive to cosmic radiation induced SEUs. Therefore, in order to enable the use of SRAM-based FPGAs in safety critical applications, new techniques and strategies are essential to mitigate the SEU errors in such devices. In order to improve the reliability of SRAM-based FPGAs which are very sensitive to SEU errors, techniques such as reconfiguration and Triple Module Redundancy (TMR) are widely used in the aerospace electronic systems to mitigate the SEU and Single Event Functional Interrupt (SEFI) errors. Compared to reconfiguration and triplication, scrubbing and partial reconfiguration will utilize fewer or even no internal resources of FPGA. What's more, the detection and repair process can detect and correct SEU errors in configuration memories of the FPGA without affecting or interrupting the proper working of the system while reconfiguration would terminate the operation of the FPGA. This paper presents a payload system realized on Xilinx Virtex-4 FPGA which mitigates SEU effects in the internal FPGA by implementing scrubbing strategy and thus improve the reliability of the whole system.

Shrinking technology nodes combined with the need for higher clock speeds have made it increasingly difficult to distribute a single global clock across a chip while meeting the power requirements of the design. Globally asynchronous locally synchronous (GALS) design style can help achieve low power consumption and modularity of a design while greatly reducing the number of global interconnects. Such multiple clock domain architectures can benefit from having frequency/voltage values assigned to each domain based on workload requirements. The work presented in this paper proposes a new <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">hardware-based</i> approach to dynamically change the frequencies and potentially voltages of a voltage-frequency island (VFI) system driven by a dynamic workload. This technique tries to change the frequency of a synchronous island such that it will have efficient power utilization while satisfying performance constraints. In recent years, there have been major developments, both in industry and academia, in the field of multiprocessor systems. Such multiprocessor systems are very good candidates for VFI design style implementation, where one or more processors can be part of a single VFI. To demonstrate the feasibility of our proposed method, we have implemented a multiprocessor system for a field-programmable gate array (FPGA) platform that uses independently generated clocks for each processor. The results from the FPGA platform confirm the claim that the power consumption of a system can potentially be reduced while maintaining the performance of many applications. Our work concentrates primarily on embedded systems, but the idea can be explored for general-purpose computing as well.

The implementation of face recognition techniques in an embedded system is a very important aspect of various security applications, such as authorization identification in cash machines and door access for employee attendance. The purpose of this paper is to survey the existing hardware implementations of a face recognition system, particularly those who used for developing an embedded door access control system. This includes a brief discussion about face recognition algorithms and the hardware platforms outlining the importance of using a Field Programmable Gate Array (FPGA) device, which can be used to design an embedded door access control system. It is found that the success of any door access control system depends on the type of face recognition algorithm in the feature extraction phase of the face recognition system and the selected hardware device. Based on a comparison between different feature extraction algorithms, the use of a hybrid feature extraction technique can improve the accuracy of face recognition system. An efficient door access control system can be obtained using a FPGA device, which is preferable because of its technical characteristics of parallelism, re-programmability and very high speed, in the implementation of a face recognition system.

We present a time digitizer having 45 ps resolution, integrated in a field programmable gate array (FPGA) device. The time interval measurement is based on the two-stage interpolation method. A dual-edge two-phase interpolator is driven by the on-chip synthesized 250 MHz clock with precise phase adjustment. An improved dual-edge double synchronizer was developed to control the main counter. The nonlinearity of the digitizer's transfer characteristic is identified and utilized by the dedicated hardware code processor for the on-the-fly correction of the output data. Application of presented ideas has resulted in the measurement uncertainty of the digitizer below 70 ps RMS over the time interval ranging from 0 to 1 s. The use of the two-stage interpolation and a fast FIFO memory has allowed us to obtain the maximum measurement rate of five million measurements per second.

FPGAs (Field-Programmable Gate Array) may offer higher performance than CPU architectures. Hardware Description Languages (HDL), such as VHDL and Verilog, which are traditionally used to program FPGAs, are known as hard to learn, to use, and to debug. Optionally, High Level Synthesis (HLS), such as OpenCL, allows developers to focus on the design of functions following a high-level software development flow, makes it easier to program FPGAs. This paper implements an image filter in the frequency domain on an FPGA board by using OpenCL, making the FPGA board an accelerator device to the host PC. The experiment results show that the filter implemented on the FPGA device can be optimized by pipelining the signal processing tasks onto the FPGA and reduce the I/O requirements between host PC and FPGA. The optimized FPGA implementation has higher performance than the image filter totally implemented on CPU.

Whilst the high throughput and low latency requirements for the next generation AO real-time control systems have posed a significant challenge to von Neumann architecture processor systems, the Field Programmable Gate Array (FPGA) has emerged as a long term solution with high performance on throughput and excellent predictability on latency. Moreover, FPGA devices have highly capable programmable interfacing, which lead to more highly integrated system. Nevertheless, a single FPGA is still not enough: multiple FPGA devices need to be clustered to perform the required subaperture processing and the reconstruction computation. In an AO real-time control system, the memory bandwidth is often the bottleneck of the system, simply because a vast amount of supporting data, e.g. pixel calibration maps and the reconstruction matrix, need to be accessed within a short period. The cluster, as a general computing architecture, has excellent scalability in processing throughput, memory bandwidth, memory capacity, and communication bandwidth. Problems, such as task distribution, node communication, system verification, are discussed.

Neural networks (NNs) are used in numerous applications such as audio–video processing and image classification. NNs can address the limitations of the traditional computer algorithms. Recently, the research utilizing field-programmable gate arrays (FPGAs) to implement NNs is on the rise due to low power dissipation, easy and fast reconfigurability offered by these platforms. This is due to the research and development efforts put into the design optimization to improve the throughput of FPGAs. The integration of appropriate hardware with advanced artificial intelligence (AI) software presents many challenges. This paper offers a generalized model of NNs on a FPGA device. In addition, it presents the design process for the high-level synthesis (HLS) tools to implement the project on FPGA. This paper shows the results of latency, timing, pre- and post-synthesis, implementation, and hardware utilization on Xilinx FPGA target device. In this paper, NN for XOR logic gate operation is performed and verified by using HLS tool, and FPGA implementation is proposed. The NN and backpropagation algorithm are developed in high-level programming languages like Python, Java, C, C++. The training part of the NN has been done by using open-source software Dev C++, and tuned weights are taken to Xilinx Vitis HLS. Simulation, synthesis, and implementation are performed by using Xilinx Vitis HLS and Vivado 2020.1 electronic design automation (EDA) tools. NN architecture with tuned weights is implemented on Xilinx ZYNQ FPGA target device. This paper shows that we were able to achieve latency in one clock cycle interval through pipeline and array partition.KeywordsHigh-level synthesis (HLS)Neural networks (NNs)Register transfer level (RTL)Field-programmable gate arrays (FPGAs)Systems on chip (SOC)Artificial intelligence (AI)Graphic processing units (GPUs)Generalized NNs (GNN)Recurrent neural network (RNN)Feed-forward neural networks (FFNNs)

Chapter 6 - Board-Level Design Decisions and Allocation