scholarly journals Vectored-Bloom Filter for IP Address Lookup: Algorithm and Hardware Architectures

2019 ◽  
Vol 9 (21) ◽  
pp. 4621 ◽  
Author(s):  
Hayoung Byun ◽  
Qingling Li ◽  
Hyesook Lim

The Internet Protocol (IP) address lookup is one of the most challenging tasks for Internet routers, since it requires to perform packet forwarding at wire-speed for tens of millions of incomming packets per second. Efficient IP address lookup algorithms have been widely studied to satisfy this requirement. Among them, Bloom filter-based approach is attractive in providing high performance. This paper proposes a high-speed and flexible architecture based on a vectored-Bloom filter (VBF), which is a space-efficient data structure that can be stored in a fast on-chip memory. An off-chip hash table is infrequently accessed, only when the VBF fails to provide address lookup results. The proposed architecture has been evaluated through both a behavior simulation with C language and a timing simulation with Verilog. The hardware implementation result shows that the proposed architecture can achieve the throughput of 5 million packets per second in a field programmable gate array (FPGA) operated at 100 MHz.

2006 ◽  
Vol 29 (11) ◽  
pp. 1927-1935 ◽  
Author(s):  
Hyesook Lim ◽  
Wonjung Kim ◽  
Bomi Lee ◽  
Changhoon Yim

2014 ◽  
Vol 550 ◽  
pp. 126-136
Author(s):  
N. Ramya Rani

:Floating point arithmetic plays a major role in scientific and embedded computing applications. But the performance of field programmable gate arrays (FPGAs) used for floating point applications is poor due to the complexity of floating point arithmetic. The implementation of floating point units on FPGAs consumes a large amount of resources and that leads to the development of embedded floating point units in FPGAs. Embedded applications like multimedia, communication and DSP algorithms use floating point arithmetic in processing graphics, Fourier transformation, coding, etc. In this paper, methodologies are presented for the implementation of embedded floating point units on FPGA. The work is focused with the aim of achieving high speed of computations and to reduce the power for evaluating expressions. An application that demands high performance floating point computation can achieve better speed and density by incorporating embedded floating point units. Additionally this paper describes a comparative study of the design of single precision and double precision pipelined floating point arithmetic units for evaluating expressions. The modules are designed using VHDL simulation in Xilinx software and implemented on VIRTEX and SPARTAN FPGAs.


2014 ◽  
Vol 912-914 ◽  
pp. 1556-1560
Author(s):  
Sheng Kun Li ◽  
Cheng Qun Chu ◽  
Hai Liang Chen ◽  
Fang Ma

The large-capacity, high-speed and low power consumption become the new requirements for the data storage systems. In this paper, a high-performance storage module based on multiple NAND flash memory chips is presented to real-time massive data acquisition system. In order to achieve the miniaturization dimension and the high-speed data storage design requirements, the paper presents a small size and high-speed storage unit based on NAND flash, where the dimensions of the module can reach 33mm×33mm and the maximum rate is up to 60MB/s. Ensuring continuous and reliable operation requires a dedicated buffering for the data transmission. We analyze the elements and peculiarities of the flash memory chip and propose a multi-way architecture to speed up data access. The design of a multilevel high-speed buffer structure based on the field programmable gate array (FPGA) technology is introduced in the paper. The proposed system can be applicable to some portable digital equipment.


2015 ◽  
Vol 2015 ◽  
pp. 1-12
Author(s):  
Mahendra Vucha ◽  
Arvind Rajawat

Modern embedded systems are being modeled as Reconfigurable High Speed Computing System (RHSCS) where Reconfigurable Hardware, that is, Field Programmable Gate Array (FPGA), and softcore processors configured on FPGA act as computing elements. As system complexity increases, efficient task distribution methodologies are essential to obtain high performance. A dynamic task distribution methodology based on Minimum Laxity First (MLF) policy (DTD-MLF) distributes the tasks of an application dynamically onto RHSCS and utilizes available RHSCS resources effectively. The DTD-MLF methodology takes the advantage of runtime design parameters of an application represented as DAG and considers the attributes of tasks in DAG and computing resources to distribute the tasks of an application onto RHSCS. In this paper, we have described the DTD-MLF model and verified its effectiveness by distributing some of real life benchmark applications onto RHSCS configured on Virtex-5 FPGA device. Some benchmark applications are represented as DAG and are distributed to the resources of RHSCS based on DTD-MLF model. The performance of the MLF based dynamic task distribution methodology is compared with static task distribution methodology. The comparison shows that the dynamic task distribution model with MLF criteria outperforms the static task distribution techniques in terms of schedule length and effective utilization of available RHSCS resources.


2004 ◽  
Vol 11A (5) ◽  
pp. 333-340
Author(s):  
Jaehyung Park ◽  
Min Young Chung ◽  
Jinsoo Kim ◽  
Yonggwan Won

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