Araştırma Makalesi

A case study: Understanding The Nature of Memories Architectures in FPGAs to Built-up Bi-CAM

Cilt: 5 Sayı: 1 30 Nisan 2023
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A case study: Understanding The Nature of Memories Architectures in FPGAs to Built-up Bi-CAM

Öz

his work gives a comparison between two approaches used for improving search operation speed by using FPGA-based Binary Content Addressable Memory (BiCAM), which is a parallel type of computer memory that quickly searches for and retrieves specific data stored within the memory by assigning a unique address to each piece of data. This hardware-based technique is more efficient than traditional software-based techniques such as Linear, Binary, and hash-based. The FPGA-based BiCAM is implemented using two different approaches: using Flip-flops and Block Random Access Memory as the memory element. The performance of these implementations is evaluated through Time complexity analysis, resource utilization, and search speed. The results indicate that the Flip-flops approach is worse in terms of search speed and resource utilization compared to the other approach. With the current increasing demand for faster and more efficient search operations, this approach can play an important role in optimizing search operations.

Anahtar Kelimeler

Kaynakça

  1. R.Schlesinger, “Developing Real World Software”, Jones & Bartlett Publishers, 2009.
  2. H. Öztekin, F.Temurtas, and A.Gulbag, “BZK.SAU. FPGA10.1: A modular approach to FPGA-based microcomputer architecture design for educational purposes”, Computer Applications in Engineering Education, vol.22, no.2, pp.272–282, 2014.
  3. R. Karam, R. Puri, S. Ghosh and S. Bhunia, "Emerging Trends in Design and Applications of Memory-Based Computing and Content-Addressable Memories," in Proceedings of the IEEE, vol. 103, no. 8, pp. 1311-1330, Aug. 2015,
  4. H. Öztekin, “BiCAM-based automated scoring system for digital logic circuit diagrams”. Open Chemistry, Vol.20, No.1, pp. 1548-1556. Dec.2022
  5. S. Hirasawa, H. Yamaki and M. Koibuchi, "Packet Forwarding Cache of Commodity Switches for Parallel Computers," 2021 IEEE International Conference on Cluster Computing (CLUSTER), pp. 366-376, Sep.2021,
  6. D. Jothi, and R. Sivakumar, “Design and Analysis of Power Efficient Binary Content Addressable Memory (PEBCAM) Core Cells”, Circuits, Systems, and Signal Processing, vol.37, no.6, pp.1422–1451, 2018.
  7. M. V. Zackriya , and H. M. Kittur, “ Precharge-Free Low-Power Content-Addressable Memory”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol.24, no.8, pp.2614-2621, 2016.
  8. M. Irfan, A.I. Sanka, Z.Ullah, and R.C.C. Cheung, “Reconfigurable content-addressable memory (CAM) on FPGAs: A tutorial and survey”, Future Generation Computer Systems, vol.128, pp.451-465, 2021.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yazılım Mimarisi

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Nisan 2023

Gönderilme Tarihi

13 Ocak 2023

Kabul Tarihi

14 Mart 2023

Yayımlandığı Sayı

Yıl 2023 Cilt: 5 Sayı: 1

Kaynak Göster

APA
Öztekin, H., Pehlivan, İ., & Lazzem, A. (2023). A case study: Understanding The Nature of Memories Architectures in FPGAs to Built-up Bi-CAM. Mühendislik Bilimleri ve Araştırmaları Dergisi, 5(1), 47-56. https://doi.org/10.46387/bjesr.1233679
AMA
1.Öztekin H, Pehlivan İ, Lazzem A. A case study: Understanding The Nature of Memories Architectures in FPGAs to Built-up Bi-CAM. Müh.Bil.ve Araş.Dergisi. 2023;5(1):47-56. doi:10.46387/bjesr.1233679
Chicago
Öztekin, Halit, İhsan Pehlivan, ve Abdelkader Lazzem. 2023. “A case study: Understanding The Nature of Memories Architectures in FPGAs to Built-up Bi-CAM”. Mühendislik Bilimleri ve Araştırmaları Dergisi 5 (1): 47-56. https://doi.org/10.46387/bjesr.1233679.
EndNote
Öztekin H, Pehlivan İ, Lazzem A (01 Nisan 2023) A case study: Understanding The Nature of Memories Architectures in FPGAs to Built-up Bi-CAM. Mühendislik Bilimleri ve Araştırmaları Dergisi 5 1 47–56.
IEEE
[1]H. Öztekin, İ. Pehlivan, ve A. Lazzem, “A case study: Understanding The Nature of Memories Architectures in FPGAs to Built-up Bi-CAM”, Müh.Bil.ve Araş.Dergisi, c. 5, sy 1, ss. 47–56, Nis. 2023, doi: 10.46387/bjesr.1233679.
ISNAD
Öztekin, Halit - Pehlivan, İhsan - Lazzem, Abdelkader. “A case study: Understanding The Nature of Memories Architectures in FPGAs to Built-up Bi-CAM”. Mühendislik Bilimleri ve Araştırmaları Dergisi 5/1 (01 Nisan 2023): 47-56. https://doi.org/10.46387/bjesr.1233679.
JAMA
1.Öztekin H, Pehlivan İ, Lazzem A. A case study: Understanding The Nature of Memories Architectures in FPGAs to Built-up Bi-CAM. Müh.Bil.ve Araş.Dergisi. 2023;5:47–56.
MLA
Öztekin, Halit, vd. “A case study: Understanding The Nature of Memories Architectures in FPGAs to Built-up Bi-CAM”. Mühendislik Bilimleri ve Araştırmaları Dergisi, c. 5, sy 1, Nisan 2023, ss. 47-56, doi:10.46387/bjesr.1233679.
Vancouver
1.Halit Öztekin, İhsan Pehlivan, Abdelkader Lazzem. A case study: Understanding The Nature of Memories Architectures in FPGAs to Built-up Bi-CAM. Müh.Bil.ve Araş.Dergisi. 01 Nisan 2023;5(1):47-56. doi:10.46387/bjesr.1233679