• Title/Summary/Keyword: C-to-FPGA

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Implementation of FPGA Verification System with Slave FIFO Interface and FX3 USB 3 Bridge Chip (FX3 USB 3 브릿지 칩과 slave FIFO 인터페이스를 사용하는 FPGA 검증 시스템 구현)

  • Choi, Byeong-Yoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.2
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    • pp.259-266
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    • 2021
  • USB bus not only works with convenience but also transmits data fast and becomes a standard peripheral interface between FPGA development board and personal computer. In this paper FPGA verification system with slave FIFO interface for Cypress FX3 USB 3 bridge chip was implemented. The designed slave FIFO interface consists of host interface module based on FIFO structure, master bus controller and command decoder and supports streaming communication interface for FX3 bridge chip and memory-mapped input and output interface for user design circuit. The ZestSC3 board with Cypress FX3 USB 3 bridge chip and Xilinx Artix FPGA(XC7A35T-1C5G3241) was used to implement FPGA verification system. It was verified that the FPGA verification system for user design circuit operated correctly under various clock frequencies using GUI software developed by visual C# and C++ DLL. The designed slave FIFO interface for FPGA verification system has modular structure and can be applicable to the different user designs with memory-mapped I/O interface.

An Implementation of SoC FPGA-based Real-time Object Recognition and Tracking System (SoC FPGA 기반 실시간 객체 인식 및 추적 시스템 구현)

  • Kim, Dong-Jin;Ju, Yeon-Jeong;Park, Young-Seak
    • IEMEK Journal of Embedded Systems and Applications
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    • v.10 no.6
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    • pp.363-372
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    • 2015
  • Recent some SoC FPGA Releases that integrate ARM processor and FPGA fabric show better performance compared to the ASIC SoC used in typical embedded image processing system. In this study, using the above advantages, we implement a SoC FPGA-based Real-Time Object Recognition and Tracking System. In our system, the video input and output, image preprocessing process, and background subtraction processing were implemented in FPGA logics. And the object recognition and tracking processes were implemented in ARM processor-based programs. Our system provides the processing performance of 5.3 fps for the SVGA video input. This is about 79 times faster processing power than software approach based on the Nios II Soft-core processor, and about 4 times faster than approach based the HPS processor. Consequently, if the object recognition and tracking system takes a design structure combined with the FPGA logic and HPS processor-based processes of recent SoC FPGA Releases, then the real-time processing is possible because the processing speed is improved than the system that be handled only by the software approach.

SoC Emulation in Multiple FPGA using Bus Splitter

  • Wooseung Yang;Lee, Seung-Jong;Ando Ki;Kyung, Chong-Min
    • Proceedings of the IEEK Conference
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    • 2003.07b
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    • pp.859-862
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    • 2003
  • This paper proposes an emulation environment for SoC designs using small number of large gate-count FPGA's and a PC system. To overcome the pin limitation problem in partitioning the design when the design size overwhelms the FPGA gate count, we use bus splitter modules that replicate on-chip bus signals in one FPGA to arbitrary number of other FPGA's with minimal pin count. The proposed scheme is applied to the emulation of 2 million gate multimedia processing chip using two Xilinx Viretex-2 6000 FPGA devices in 6.6MHz operating frequency. An ARM core, memories, camera and LCD display are modeled in software using dual 2GHz Pentium-III processors. This scheme can be utilized for more than 2 FPGA's in the same ways as two FPGA case without losing emulation speed.

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Hardware Implementation of Motor Controller Based on Zynq EPP(Extensible Processing Platform) (Zynq EPP를 이용한 모터 제어기의 하드웨어 구현)

  • Moon, Yong-Seon;Lim, Seung-Woo;Lee, Young-Pil;Bae, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.11
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    • pp.1707-1712
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    • 2013
  • In this paper, we implement a hardware for motor control based on FPGA + embedded processor using Zynq EPP which is All Programmable SoC in order to improve a structural problem of motion control based on such as DSP, MCU and FPGA previously. The implemented motor controller that is fused controller with advantage of FPGA and embedded processor. The signal processing part of high velocity motor control is performed by motor controller based on FPGA. A motion profile and kinematic calculation that are required algorithm process such as operation of a complicate decimal point has processed in an embedded processor based on dual core. As a result of a hardware implementation, it has an advantage that has can be realized an effect of distribution process in one chip. It has also an advantage that is able to organize as a multi-axis motor controller through adding the IP core of motor control implemented on FPGA.

Verification and Verification Method of Safety Class FPGA in Nuclear Power Plant (원자력발전소의 안전등급 FPGA 확인 및 검증 방법)

  • Lee, Dongil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.464-466
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    • 2019
  • Controllers used in nuclear power plants require high reliability. A controller including a Field Programmable Gate Array (FPGA) and a Complex Programmable Logic Device (referred to hereinafter as FPGA) has been applied to many Nuclear Power Plants (NPP) in the past, including the APR1400 (Advanced Power Reactor 1400), a Korean digital nuclear power plant. Initially, the FPGA was considered as a general IC (Integrated Circuit) and verified only by device verification and performance testing. In the 1990s, research on FPGA verification began, and until the FPGA became a chip, it was regarded as software and the software Verification and Validation (V&V) using IEEE 1012-2004 was implemented. Currently, IEC 62566, which is a European standard, has been applied for a lot of verification. This method has been evaluated as the most sensible method to date. This is because the method of verifying the characteristics of SoC (System on Chip), which has been a problem in the existing verification method, is sufficiently applied. However, IEC 62566 is a European standard that has not yet been adopted in the United States and maintains the application of IEEE 1012 for FPGA. IEEE 1012-2004 or IEC 62566 is a technical standard. In practice, various methods are applied to meet technical standards. In this paper, we describe the procedure and important points of verification method of Nuclear Safety Class FPGA applying SoC verification method.

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FGPA Design and SoC Implementation for Wireless PAN Applications (무선 PAN 응용을 위한 FPGA 설계 및 SoC)

  • Kim, Young-Sung;Kim, Sun-Hee;Hong, Dae-Ki
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.2
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    • pp.462-469
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    • 2008
  • In this paper, we design the FPGA (Field-Programmable Gate Array) of the KOINONIA WPAN (Wireless Personal Area Network), and implement the SoC (System on Chip). We use the redundant bits to make a constant-amplitude in a modulator part. Additionally, the SNR (Signal to Noise Ratio) performance of the demodulator is improved by using the redundant bits in decoding steps. The four-million FPGA of the KOINONIA WPAN can be operated at 44MHz frequency. The PER (Packet Error Rate) of the designed FPGA with RF (Radio Frequency) module is below 1% at the -86dB MIPLS (Minimum Input Power Level Sensitivity), and the SNR is about 13dB. The SoC is implemented by using Hynix 0.25um CMOS (Complementary Metal Oxide Semiconductor) process. The size of the SoC is $6.52mm{\times}6.92mm$.

Implementation of the Digital Current Control System for an Induction Motor Using FPGA (FPGA를 이용한 유도 전동기의 디지털 전류 제어 시스템 구현)

  • Yang, Oh
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.35C no.11
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    • pp.21-30
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    • 1998
  • In this paper, a digital current control system using a FPGA(Field Programmable Gate Array) was implemented, and the system was applied to an induction motor widely used as an industrial driving machine. The FPGA designed by VHDL(VHSIC Hardware Description Language) consists of a PWM(Pulse Width Modulation) generation block, a PWM protection block, a speed measuring block, a watch dog timer block, an interrupt control block, a decoder logic block, a wait control block and digital input and output blocks respectively. Dedicated clock inputs on the FPGA were used for high-speed execution, and an up-down counter and a latch block were designed in parallel, in order that the triangle wave could be operated at 40 MHz clock. When triangle wave is compared with many registers respectively, gate delay occurs from excessive fan-outs. To reduce the delay, two triangle wave registers were implemented in parallel. Amplitude and frequency of the triangle wave, and dead time of PWM could be changed by software. This FPGA was synthesized by pASIC 2SpDE and Synplify-Lite synthesis tool of Quick Logic company. The final simulation for worst cases was successfully performed under a Verilog HDL simulation environment. And the FPGA programmed for an 84 pin PLCC package was applied to digital current control system for 3-phase induction motor. The digital current control system of the 3 phase induction motor was configured using the DSP(TMS320C31-40 MHz), FPGA, A/D converter and Hall CT etc., and experimental results showed the effectiveness of the digital current control system.

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FPGA-DSP Based Implementation of Lane and Vehicle Detection (FPGA와 DSP를 이용한 실시간 차선 및 차량인식 시스템 구현)

  • Kim, Il-Ho;Kim, Gyeong-Hwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.12C
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    • pp.727-737
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    • 2011
  • This paper presents an implementation scheme of real-time lane and vehicle detection system with FPGA and DSP. In this type of implementation, defining the functionality of each device in efficient manner is of crucial importance. The FPGA is in charge of extracting features from input image sequences in reduced form, and the features are provided to the DSP so that tracking lanes and vehicles are performed based on them. In addition, a way of seamless interconnection between those devices is presented. The experimental results show that the system is able to process at least 15 frames per second for video image sequences with size of $640{\times}480$.