EPJ Web Conf.
Volume 162, 2017International Conference on Applied Photonics and Electronics 2017 (InCAPE2017)
|Number of page(s)||5|
|Published online||22 November 2017|
FPGA-based protein sequence alignment : A review
School of Microelectronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, Perlis, Malaysia
2 School of Computer and Communication Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, Perlis, Malaysia
* Corresponding author: email@example.com
Published online: 22 November 2017
Sequence alignment have been optimized using several techniques in order to accelerate the computation time to obtain the optimal score by implementing DP-based algorithm into hardware such as FPGA-based platform. During hardware implementation, there will be performance challenges such as the frequent memory access and highly data dependent in computation process. Therefore, investigation in processing element (PE) configuration where involves more on memory access in load or access the data (substitution matrix, query sequence character) and the PE configuration time will be the main focus in this paper. There are various approaches to enhance the PE configuration performance that have been done in previous works such as by using serial configuration chain and parallel configuration chain i.e. the configuration data will be loaded into each PEs sequentially and simultaneously respectively. Some researchers have proven that the performance using parallel configuration chain has optimized both the configuration time and area.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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