Performance Evaluation of Turbo Encoder Implementation on a Heterogeneous FPGA-CPU Platform Using SDSoC

被引:0
|
作者
El Adawy, Mohamed [1 ]
Kamaleldin, Ahmed [1 ]
Mostafa, Hassan [1 ]
Said, Sameh [1 ]
机构
[1] Cairo Univ, Elect & Commun Engn Dept, Giza 12613, Egypt
关键词
IoT; SDSoC; Xilinx; FPGA; ZYNQ;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, Developing Internet of Things (IoT) devices has been one of the most important products in the technology industry. Most of IOT products are designed based on System on chip (SoC) platform that allows producing faster and higher system level efficiency products. The Software Develop System-on-Chip (SDSoC) is a C/C++ development environment used to create hardware-software co designs on a heterogeneous FPGA-CPU platform. The questions of what platform and what implementation, whether hardware or software is best suited for more efficient platform. In this paper, these questions are sought to be answered through analysis scenarios of hardware and software implementation using SDSoC tool. This paper introduces a different platforms implementation for hardware-software co-design of turbo encoder synthesized by SDSoC. The turbo encoder widely used in various wireless communication standard such as the 3rd Generation Partnership Project (3GPP). The purpose of this paper is to select platform that achieves performance metrics such as area and power. In addition, new metric was defined to select platform that achieves the best performance.
引用
收藏
页码:286 / 290
页数:5
相关论文
共 50 条
  • [1] Implementation of an LDPC decoder on a heterogeneous FPGA-CPU platform using SDSoC
    Roh, Si-Dong
    Cho, Keol
    Chung, Ki-Seok
    PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON), 2016, : 2555 - 2558
  • [2] Implementation of deep neural networks on FPGA-CPU platform using Xilinx SDSOC
    Rania O. Hassan
    Hassan Mostafa
    Analog Integrated Circuits and Signal Processing, 2021, 106 : 399 - 408
  • [3] Implementation of deep neural networks on FPGA-CPU platform using Xilinx SDSOC
    Hassan, Rania O.
    Mostafa, Hassan
    ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 2021, 106 (02) : 399 - 408
  • [4] Design and implementation of the MMC simulation system in the heterogeneous FPGA-CPU platform
    Li, Xiongfei
    Mu, Qing
    Zhang, Xing
    Xiang, Yinxing
    Li, Qiao
    He, Guanghui
    JOURNAL OF ENGINEERING-JOE, 2019, (16): : 1721 - 1725
  • [5] Simultaneous Multiprocessing on FPGA-CPU Heterogeneous Chips
    Amiri, Sam
    Abdi, Salman
    Sharifzadeh, Sara
    2021 22ND IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2021, : 805 - 809
  • [6] Jackhammer: Efficient rowhammer on heterogeneous FPGA-CPU platforms
    Weissman Z.
    Tiemann T.
    Moghimi D.
    Custodio E.
    Eisenbarth T.
    Sunar B.
    1600, Ruhr-University of Bochum (2020): : 169 - 195
  • [7] Hybrid Breadth-First Search on a Single-Chip FPGA-CPU Heterogeneous Platform
    Umuroglu, Yaman
    Morrison, Donn
    Jahre, Magnus
    2015 25TH INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE LOGIC AND APPLICATIONS, 2015,
  • [8] Sparse Tucker Tensor Decomposition on a Hybrid FPGA-CPU Platform
    Jiang, Weiyun
    Zhang, Kaiqi
    Lin, Colin Yu
    Xing, Feng
    Zhang, Zheng
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 40 (09) : 1864 - 1873
  • [9] Workload Partitioning Strategy for Improved Parallelism on FPGA-CPU Heterogeneous Chips
    Amiri, Sam
    Hosseinabady, Mohammad
    Rodriguez, Andres
    Asenjo, Rafael
    Navarro, Angeles
    Nunez-Yanez, Jose
    2018 28TH INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE LOGIC AND APPLICATIONS (FPL), 2018, : 376 - 380
  • [10] Optimisation of pedestrian detection system using FPGA-CPU hybrid implementation for vehicle industry
    Ozcan, Ahmet Remzi
    Taysanoglu, Vedat
    INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2019, 80 (2-4) : 209 - 222