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Computer Science

D-Index
35
Citations
4654
World Ranking
11778
National Ranking
4816

Overview

Sameer Kumar is affiliated with Google in the United States and conducts research spanning multiple interdisciplinary fields. Their primary research contributions lie at the intersection of Medicine and Biochemistry, Genetics and Molecular Biology, with significant work in Molecular Biology, Public Health, Environmental and Occupational Health, Condensed Matter Physics, Infectious Diseases, and Virology.

The scientist's work covers diverse topics, including:

  • Mosquito-borne diseases and control
  • Micro and Nano Robotics
  • HIV Research and Treatment
  • RNA modifications and cancer
  • RNA Research and Splicing
  • Cancer-related molecular mechanisms research
  • Interferon and immune responses

Sameer Kumar has published research in several prominent venues. Their frequent publication outlets include:

  • Physical review. E
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Pathogens
  • arXiv (Cornell University)
  • Journal of Virology

Among their recent papers are:

  • "Effect of polydispersity on the dynamics of active Brownian particles," 2021, Physical review. E
  • "Exploring the limits of Concurrency in ML Training on Google TPUs," 2020, arXiv (Cornell University)
  • "N6-methyladenosine modification of HIV-1 RNA suppresses type-I interferon induction in differentiated monocytic cells and primary macrophages," 2021, PLoS Pathogens
  • "DNA Damage Response Signaling Is Crucial for Effective Chikungunya Virus Replication," 2022, Journal of Virology
  • "MK2a inhibitor CMPD1 abrogates chikungunya virus infection by modulating actin remodeling pathway," 2021, PLoS Pathogens

The scientist collaborates frequently with several co-authors, demonstrating ongoing research partnerships. Regular collaborators include:

  • Sanchari Chatterjee
  • Prabhudutta Mamidi
  • Ankita Datey
  • Eshna Laha
  • Saikat De

Best Publications

  • Multi-petascale highly efficient parallel supercomputer

    Sameh Asaad;Ralph E. Bellofatto;Michael A. Blocksome;Matthias A. Blumrich

  • NAMD: Biomolecular Simulation on Thousands of Processors

    James C. Phillips;Gengbin Zheng;Sameer Kumar;Laxmikant V. Kalé

  • The IBM Blue Gene/Q interconnection network and message unit

    Dong Chen;Noel A. Eisley;Philip Heidelberger;Robert M. Senger

  • UCX: An Open Source Framework for HPC Network APIs and Beyond

    Pavel Shamis;Manjunath Gorentla Venkata;M. Graham Lopez;Matthew B. Baker

  • Performance evaluation of adaptive MPI

    Chao Huang;Gengbin Zheng;Laxmikant Kalé;Sameer Kumar

  • MPI on a Million Processors

    Pavan Balaji;Darius Buntinas;David Goodell;William Gropp

  • The IBM Blue Gene/Q Interconnection Fabric

    Dong Chen;N. A. Eisley;P. Heidelberger;R. M. Senger

  • Dynamic topology aware load balancing algorithms for molecular dynamics applications

    Abhinav Bhatelé;Laxmikant V. Kalé;Sameer Kumar

  • The deep computing messaging framework: generalized scalable message passing on the blue gene/P supercomputer

    Sameer Kumar;Gabor Dozsa;Gheorghe Almasi;Philip Heidelberger

  • PAMI: A Parallel Active Message Interface for the Blue Gene/Q Supercomputer

    Sameer Kumar;Amith R. Mamidala;Daniel A. Faraj;Brian Smith

  • Scalable molecular dynamics with NAMD on the IBM Blue Gene/L system

    S. Kumar;C. Huang;G. Zheng;E. Bohm

  • Image Classification at Supercomputer Scale.

    Chris Ying;Sameer Kumar;Dehao Chen;Tao Wang

  • Overcoming scaling challenges in biomolecular simulations across multiple platforms

    A. Bhatele;S. Kumar;Chao Mei;J.C. Phillips

  • A Malleable-Job System for Timeshared Parallel Machines

    L.V. Kale;L.V. Kale;S. Kumar;J. DeSouza

  • Designing Effective Sparse Expert Models

    Unknown

  • MPI Collective Communications on The Blue Gene/P Supercomputer: Algorithms and Optimizations

    Ahmad Faraj;Sameer Kumar;Brian Smith;Amith Mamidala

  • Optimization of All-to-All Communication on the Blue Gene/L Supercomputer

    S. Kumar;Y. Sabharwal;R. Garg;P. Heidelberger

  • MPI ON MILLIONS OF CORES

    Pavan Balaji;Darius Buntinas;David Goodell;William Gropp;William Gropp

  • Scaling applications to massively parallel machines using Projections performance analysis tool

    Laxmikant V. Kalé;Gengbin Zheng;Chee Wai Lee;Sameer Kumar

  • Looking under the hood of the IBM blue gene/Q network

    Dong Chen;N. Eisley;P. Heidelberger;S. Kumar

  • Fine-grained parallelization of the Car-Parrinello ab initio molecular dynamics method on the IBM Blue Gene/L supercomputer

    E. Bohm;A. Bhatele;L. V. Kalé;M. E. Tuckerman

Frequent Co-Authors

Laxmikant V. Kale
Laxmikant V. Kale University of Illinois at Urbana-Champaign
Philip Heidelberger
Philip Heidelberger IBM (United States)
Abhinav Bhatele
Abhinav Bhatele University of Maryland, College Park
William Gropp
William Gropp University of Illinois at Urbana-Champaign
John A. Gunnels
John A. Gunnels Nvidia (United States)
Valentina Salapura
Valentina Salapura Google (United States)
Rajeev Thakur
Rajeev Thakur Argonne National Laboratory
Pavan Balaji
Pavan Balaji Argonne National Laboratory
Robert W. Wisniewski
Robert W. Wisniewski Intel (United States)
Michael L. Hines
Michael L. Hines Yale University

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