• Proceedings of the IEEK Conference
• /
• 2005.11a
• /
• pp.651-654
• /
• 2005

In this paper, we designed ECC(Elliptic Curve Cryptographic) Processor with Bus-splitting mothod for embedded SoC. ECC SIP is designed by VHDL RTL modeling, and implemented reusably through the procedure of logic synthesis, simulation and FPGA verification. To communicate with ARM9 core and SIP, we designed SIP bus functional model according to AMBA AHB specification. The design of ECC Processor for platform-based SoC is implemented using the design kit which is composed of many devices such as ARM9 RISC core, memory, UART, interrupt controller, FPGA and so on. We performed software design on the ARM9 core for SIP and peripherals control, memory address mapping and so on.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2008.10a
• /
• pp.281-284
• /
• 2008

This paper describes ASIC design of multimedia SoC Platform. The implemented Platform consists of 32-bit OpenRISC1200 Microprocessor, WISHBONE on-chip bus, VGA Controller, Debug Interface, SRAM Interface and UART. The 32-bit OpenRISC1200 processor has 5 stage pipeline and Harvard architecture with separated instruction/data bus. The VGA Controller can display RCB data on a CRT or LCD monitor. The Debug Interface supports a debugging function for the Platform. The SRAM Interface supports 18-bit address bus and 32-bit data bus. The UART provides RS232 protocol, which supports serial communication function. The Platform is design and verified on a Xilinx VERTEX-4 XC4VLX80 FPGA board. Test code is generated by a cross compiler' and JTAG utility software and gdb are used to download the test code to the FPGA board through parallel cable. Finally, the Platform is implemented into a single ASIC chip using Chatered 0.18um process and it can operate at 100MHz clock frequency.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.36 no.12C
• /
• pp.727-737
• /
• 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 $640{\times}480$.

• Proceedings of the KAIS Fall Conference
• /
• 2010.05a
• /
• pp.360-362
• /
• 2010

본 논문에서는 SoC 키트에 해당하는 iRoV-Lab 3000의 장착된 로봇 모듈인 FPA 모듈, Stepper Motor 모듈, 적외선 송수신 센서 모듈, 카메라 모듈, RF 모듈 LED, TEXT LCD, 7-segment를 제어하기 위한 FPGA를 사용하며, FPGA설계를 위해 Schematic Design 또는 HDL에 대해 연구한다. FPGA의 내부구조를 이해하고 개발환경을 구축할 수 있다. 로봇의 구성요소와 각각의 구성요소(Sensor 모듈, display 모듈, Stepper Motor 모듈, RF 모듈)의 동작 원리를 개발한다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.6
• /
• pp.850-858
• /
• 2022

To deploy Gate Recurrent Units (GRU) on resource-constrained embedded devices, this paper presents a reconfigurable FPGA-based GRU accelerator that enables structured compression. Firstly, a dense GRU model is significantly reduced in size by hybrid quantization and structured top-k pruning. Secondly, the energy consumption on external memory access is greatly reduced by the proposed reuse computing pattern. Finally, the accelerator can handle a structured sparse model that benefits from the algorithm-hardware co-design workflows. Moreover, inference tasks can be flexibly performed using all functional dimensions, sequence length, and number of layers. Implemented on the Intel DE1-SoC FPGA, the proposed accelerator achieves 45.01 GOPs in a structured sparse GRU network without batching. Compared to the implementation of CPU and GPU, low-cost FPGA accelerator achieves 57 and 30x improvements in latency, 300 and 23.44x improvements in energy efficiency, respectively. Thus, the proposed accelerator is utilized as an early study of real-time embedded applications, demonstrating the potential for further development in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.10a
• /
• pp.719-721
• /
• 2013

A thinning stage of fingerprint algorithm occupies 39% cycle of microprocessor system for identification processing of image from fingerprint sensor. Hardware block processing is more effective than software one in speed and power consumption, because a thinning algorithm is iteration of simple instructions without a transcendental function. This paper describes an effective hardware scheme for thinning stage processing using Verilog-HDL in $64{\times}64$ Pixel Array. The hardware scheme is designed and simulated in RTL. The logic is also synthesized by XST in FPGA environment and tested. Experimental results show the performance of the proposed scheme and possibility of application for a soft microprocessor and thinning processor embedded fingerprint SoC.

• Journal of Korea Multimedia Society
• /
• v.18 no.2
• /
• pp.244-252
• /
• 2015

This paper describes the design and implementation of a System-on-a-Chip (SoC) for face recognition to use in wearable/mobile products. The design flow starts from the system specification to implementation process on silicon. The entire process is carried out using a FPGA-based prototyping platform environment for design and verification of the target SoC. To ensure that the implemented face recognition SoC satisfies the required performances metrics, time analysis and recognition tests were performed. The motivation behind the work is a single chip implementation of face recognition system for target applications.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.60 no.1
• /
• pp.156-160
• /
• 2011

This paper describes the design and implementation of a System-on-a-Chip (SoC) for pattern recognition to use in embedded applications. The target Soc consists of LEON2 core, AMBA/APB bus-systems and custom-designed accelerators for Gaussian Pyramid construction, lighting compensation and histogram equalization. A new FPGA-based prototyping platform is implemented and used for design and verification of the target SoC. To ensure that the implemented SoC satisfies the required performances, a pattern recognition application is performed.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.12
• /
• pp.1914-1919
• /
• 2021

With the development of advanced industries, research on image processing hardware is essential, and timing verification at the gate level is required for actual chip operation. For FPGA-based verification, DDR3 memory interface was previously applied. But recently, as the FPGA specification has improved, DDR4 memory is used. In this case, when a previously used memory interface is applied, the timing mismatch of signals may occur and thus cannot be used. This is due to the difference in performance between CPU and memory. In this paper, the problem is solved through state optimization of the existing interface system FSM. In this process, data read speed is doubled through AXI Data Width modification. For actual case analysis, ZC706 using DDR3 memory and ZCU106 using DDR4 memory among Xilinx's SoC boards are used.

• Journal of IKEEE
• /
• v.22 no.4
• /
• pp.886-895
• /
• 2018

This paper describes a hardware design of the Secure Hash Algorithm-3 (SHA-3) hash functions that are the latest version of the SHA family of standards released by NIST, and an implementation of ARM Cortex-M0 interface for security SoC applications. To achieve an optimized design, the tradeoff between hardware complexity and performance was analyzed for five hardware architectures, and the datapath of round block was determined to be 1600-bit on the basis of the analysis results. In addition, the padder with a 64-bit interface to round block was implemented in hardware. A SoC prototype that integrates the SHA-3 hash processor, Cortex-M0 and AHB interface was implemented in Cyclone-V FPGA device, and the hardware/software co-verification was carried out. The SHA-3 hash processor uses 1,672 slices of Virtex-5 FPGA and has an estimated maximum clock frequency of 289 Mhz, achieving a throughput of 5.04 Gbps.