Rizalafande Che Ismail
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Preferred name
Rizalafande Che Ismail
Official Name
Rizalafande, Che Ismail
Alternative Name
Ismail, Rizalafande C.
Rizalafande, Che Ismail
Chesmail, R.
Ismail, R. C.
Che Ismail, Rizalafande
Ismail, Rizalafande Che
Ismail, R. Che
Main Affiliation
Scopus Author ID
22634128600

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  • Publication
    Biological sequence alignments: A review of hardware accelerators and a new PE computing strategy
    ( 2014)
    Mohd Nazrin Md Isa
    ;
    Muhammad Imran Ahmad
    ;
    Sohiful Anuar Zainol Murad
    ;
    Rizalafande Che Ismail
    ;
    Khaled Benkrid
    One of the most challenging tasks in sequence alignment is its repetitive and time-consuming alignment matrix computations. In addition, performing sequence alignment in hardware, i.e. FPGA requires more hardware resources as the number of processing elements is replicated to increase performance throughput. This paper first reviews the existing FPGA-based biological sequence alignment core architectures and then proposed an efficient scheduling strategy, the so-called overlap computation and configuration (OCC) towards realizing optimized biological sequence alignment core architecture targeting for pairwise sequence alignment. In this research work, double buffering-based core architecture have been proposed and implemented on Xilinx Virtex-5 FPGA. Results have shown that this approach gained more than 10K times speed-up as compared to the GPP solution.
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