Biosequence Analysis using Intel® Xeon Phi

被引:1
|
作者
Sinha, Pradeep [1 ]
Misra, Goldi [1 ]
Vikraman, Deepu [1 ]
Das, Abhishek [1 ]
Desai, Shraddha [1 ]
Pawar, Sucheta [1 ]
Shewale, Kalyani [1 ]
机构
[1] C DAC, HPCS, Pune, Maharashtra, India
关键词
Intel Xeon Phi; coprocessor; MPI-HMMER; Native Compilation; Offload Compilation; MPI; est; pataa; Uniprot_sprot; High Performance Computing;
D O I
10.1109/EMS.2013.83
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Due to the ever-increasing size of sequence databases, it has become clear that faster techniques must be employed to effectively perform biological sequence analysis in a reasonable amount of time. In bioinformatics, protein sequence alignment is one of the fundamental tasks. MPI-HMMER is one of the applications that perform this kind of bio-sequence analysis. Since the growth of biological data is exponential, there is an ever-increasing demand for computational power. This paper discusses the behavior of MPI-HMMER on hybrid architecture by using native compilation technique on Intel Xeon Phi.
引用
收藏
页码:497 / 499
页数:3
相关论文
共 50 条
  • [41] Parallel evolutionary approaches for game playing and verification using Intel Xeon Phi
    Rodriguez, Sebastian
    Parodi, Facundo
    Nesmachnow, Sergio
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2019, 133 : 258 - 271
  • [42] Full Correlation Matrix Analysis of fMRI Data on Intel® Xeon Phi™ Coprocessors
    Wang, Yida
    Anderson, Michael J.
    Cohen, Jonathan D.
    Heinecke, Alexander
    Li, Kai
    Satish, Nadathur
    Sundaram, Narayanan
    Turk-Browne, Nicholas B.
    Willke, Theodore L.
    PROCEEDINGS OF SC15: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS, 2015,
  • [43] Critical-blame analysis for OpenMP 4.0 offloading on Intel Xeon Phi
    Dietrich, Robert
    Schmitt, Felix
    Grund, Alexander
    Stolle, Jonas
    JOURNAL OF SYSTEMS AND SOFTWARE, 2017, 125 : 381 - 388
  • [44] Analysis of Optimization opportunities for Intel® Xeon Phi™ and Intel® Xeon Scalable Processors™ Environments of a Numerical Method for the Biphasic Flow of Fluids in Porous Media
    Teixeira, Thiago
    Cabral, Frederico L.
    Osthoff, Carla
    Souto, Roberto P.
    Borges, Marcio R.
    2018 SYMPOSIUM ON HIGH PERFORMANCE COMPUTING SYSTEMS (WSCAD 2018), 2018, : 237 - 242
  • [45] Efficient Strategies of Compressing Three-Dimensional Sparse Arrays based on Intel XEON and Intel XEON Phi Environments
    Lin, Chun-Yuan
    Yen, Huang Ting
    Hung, Che-Lun
    CIT/IUCC/DASC/PICOM 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY - UBIQUITOUS COMPUTING AND COMMUNICATIONS - DEPENDABLE, AUTONOMIC AND SECURE COMPUTING - PERVASIVE INTELLIGENCE AND COMPUTING, 2015, : 1384 - 1389
  • [46] Performance benchmarking of deep learning framework on Intel Xeon Phi
    Chao-Tung Yang
    Jung-Chun Liu
    Yu-Wei Chan
    Endah Kristiani
    Chan-Fu Kuo
    The Journal of Supercomputing, 2021, 77 : 2486 - 2510
  • [47] Understanding the Performance of Stencil Computations on Intel's Xeon Phi
    Peraza, Joshua
    Tiwari, Ananta
    Laurenzano, Michael
    Carrington, Laura
    Ward, William A.
    Campbell, Roy
    2013 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER), 2013,
  • [48] Performance and Energy Evaluation of Data Prefetching on Intel Xeon Phi
    Guttman, Diana
    Kandemir, Mahmut Taylan
    Arunachalam, Meenakshi
    Calina, Vlad
    2015 IEEE International Symposium on Performance Analysis and Software (ISPASS), 2015, : 288 - 297
  • [49] Stochastic Bounds for Markov Chains on Intel Xeon Phi Coprocessor
    Bylina, Jaroslaw
    PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2017), PT I, 2018, 10777 : 111 - 120
  • [50] Quantum chemistry on Intel Xeon Phi processors: Opportunities and challenges
    Rinkevicius, Zilvinas
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2018, 255