Efficient architecture-aware acceleration of BWA-MEM for multicore systems M Vasimuddin, S Misra, H Li, S Aluru 2019 IEEE international parallel and distributed processing symposium (IPDPS …, 2019 | 1042 | 2019 |

Distgnn: Scalable distributed training for large-scale graph neural networks V Md, S Misra, G Ma, R Mohanty, E Georganas, A Heinecke, D Kalamkar, ... Proceedings of the International Conference for High Performance Computing …, 2021 | 102 | 2021 |

Accelerating minimap2 for long-read sequencing applications on modern CPUs S Kalikar, C Jain, M Vasimuddin, S Misra Nature Computational Science 2 (2), 78-83, 2022 | 44* | 2022 |

Tensor processing primitives: A programming abstraction for efficiency and portability in deep learning workloads E Georganas, D Kalamkar, S Avancha, M Adelman, C Anderson, A Breuer, ... Proceedings of the International Conference for High Performance Computing …, 2021 | 21 | 2021 |

Parallel bayesian network structure learning for genome-scale gene networks S Misra, M Vasimuddin, K Pamnany, SP Chockalingam, Y Dong, M Xie, ... SC'14: Proceedings of the International Conference for High Performance …, 2014 | 19 | 2014 |

LISA: towards learned DNA sequence search D Ho, J Ding, S Misra, N Tatbul, V Nathan, V Md, T Kraska arXiv preprint arXiv:1910.04728, 2019 | 14 | 2019 |

Genomicsbench: A benchmark suite for genomics A Subramaniyan, Y Gu, T Dunn, S Paul, M Vasimuddin, S Misra, ... 2021 IEEE International Symposium on Performance Analysis of Systems and …, 2021 | 13 | 2021 |

Performance extraction and suitability analysis of multi-and many-core architectures for next generation sequencing secondary analysis S Misra, TC Pan, K Mahadik, G Powley, PN Vaidya, M Vasimuddin, ... Proceedings of the 27th International Conference on Parallel Architectures …, 2018 | 12 | 2018 |

Identification of significant computational building blocks through comprehensive investigation of NGS secondary analysis methods M Vasimuddin, S Misra, S Aluru Preprint] bioRXiv, April, 2018 | 9 | 2018 |

A parallel algorithm for Bayesian network inference using arithmetic circuits M Vasimuddin, SP Chockalingam, S Aluru 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018 | 7 | 2018 |

Parallel exact dynamic bayesian network structure learning with application to gene networks M Vasimuddin, S Aluru 2017 IEEE 24th International Conference on High Performance Computing (HiPC …, 2017 | 6 | 2017 |

Dtree: Dynamic task scheduling at petascale K Pamnany, S Misra, V Md, X Liu, E Chow, S Aluru High Performance Computing: 30th International Conference, ISC High …, 2015 | 6 | 2015 |

Lisa: learned indexes for sequence analysis D Ho, S Kalikar, S Misra, J Ding, V Md, N Tatbul, H Li, T Kraska bioRxiv, 2020-2012, 2021 | 4 | 2021 |

Deep graph library optimizations for intel (r) x86 architecture S Avancha, V Md, S Misra, R Mohanty arXiv preprint arXiv:2007.06354, 2020 | 4 | 2020 |

GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis Y Gu, A Subramaniyan, T Dunn, A Khadem, KY Chen, S Paul, ... Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 2 | 2023 |

Lisa: Learned indexes for DNA sequence analysis D Ho, S Kalikar, S Misra, J Ding, V Md, N Tatbul, H Li, T Kraska bioRxiv, 2020 | 2 | 2020 |

DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling M Vasimuddin, R Mohanty, S Misra, S Avancha arXiv preprint arXiv:2211.06385, 2022 | 1 | 2022 |

Identification of significant computational building blocks through comprehensive deep dive of ngs secondary analysis methods M Vasimuddin, S Misra, S Aluru bioRxiv, 301903, 2018 | 1 | 2018 |

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads E Georganas, D Kalamkar, S Avancha, M Adelman, D Aggarwal, ... Frontiers in Applied Mathematics and Statistics 8, 826269, 2022 | | 2022 |

Parallel algorithms for large scale bayesian networks learning and inference M Vasimuddin Mumbai, 0 | | |