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Computer Science

D-Index
35
Citations
5454
World Ranking
11672
National Ranking
4783

Overview

Satish Narayanasamy is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology as well as Computer Science.

Their main subfields of study include Molecular Biology, Artificial Intelligence, Genetics, Plant Science, and Biomedical Engineering. The scientist's work covers a variety of topics, including:

  • Genomics and Phylogenetic Studies
  • Algorithms and Data Compression
  • RNA modifications and cancer
  • RNA and protein synthesis mechanisms
  • Chromosomal and Genetic Variations
  • Genomics and Rare Diseases
  • Machine Learning in Bioinformatics

Satish Narayanasamy has contributed to multiple research publications, with recent papers including:

  • "Accelerating Minimap2 for Accurate Long Read Alignment on GPUs," 2023, Journal of Biotechnology and Biomedicine
  • "vcfdist: accurately benchmarking phased small variant calls in human genomes," 2023, Nature Communications
  • "Accelerating Minimap2 for accurate long read alignment on GPUs," 2022, bioRxiv (Cold Spring Harbor Laboratory)
  • "Rapid Real-time Squiggle Classification for Read until using RawMap," 2023, Archives of Clinical and Biomedical Research
  • "Rapid Real-time Squiggle Classification for Read Until Using RawMap," 2022, bioRxiv (Cold Spring Harbor Laboratory)

The scientist frequently publishes in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Biotechnology and Biomedicine
  • arXiv (Cornell University)
  • Nature Communications

Collaborations have been a significant aspect of their research, with frequent co-authors comprising:

  • Tim Dunn
  • Reetuparna Das
  • David Blaauw
  • Harisankar Sadasivan
  • Jack Wadden

Best Publications

  • BugNet: Continuously Recording Program Execution for Deterministic Replay Debugging

    Satish Narayanasamy;Gilles Pokam;Brad Calder

  • Compute Caches

    Shaizeen Aga;Supreet Jeloka;Arun Subramaniyan;Satish Narayanasamy

  • LiteRace: effective sampling for lightweight data-race detection

    Daniel Marino;Madanlal Musuvathi;Satish Narayanasamy

  • Automatically classifying benign and harmful data races using replay analysis

    Satish Narayanasamy;Zhenghao Wang;Jordan Tigani;Andrew Edwards

  • DoublePlay: Parallelizing Sequential Logging and Replay

    Kaushik Veeraraghavan;Dongyoon Lee;Benjamin Wester;Jessica Ouyang

  • DoublePlay: parallelizing sequential logging and replay

    Kaushik Veeraraghavan;Dongyoon Lee;Benjamin Wester;Jessica Ouyang

  • Respec: efficient online multiprocessor replayvia speculation and external determinism

    Dongyoon Lee;Benjamin Wester;Kaushik Veeraraghavan;Satish Narayanasamy

  • A case for an interleaving constrained shared-memory multi-processor

    Jie Yu;Satish Narayanasamy

  • Catnap: energy proportional multiple network-on-chip

    Reetuparna Das;Satish Narayanasamy;Sudhir K. Satpathy;Ronald G. Dreslinski

  • Maple: a coverage-driven testing tool for multithreaded programs

    Jie Yu;Satish Narayanasamy;Cristiano Pereira;Gilles Pokam

  • Recording shared memory dependencies using strata

    Satish Narayanasamy;Cristiano Pereira;Brad Calder

  • Race detection for event-driven mobile applications

    Chun-Hung Hsiao;Jie Yu;Satish Narayanasamy;Ziyun Kong

  • Unbounded page-based transactional memory

    Weihaw Chuang;Satish Narayanasamy;Ganesh Venkatesh;Jack Sampson

  • MLP aware heterogeneous memory system

    Sujay Phadke;Satish Narayanasamy

  • Language-level persistency

    Aasheesh Kolli;Vaibhav Gogte;Ali Saidi;Stephan Diestelhorst

  • End-to-end sequential consistency

    Abhayendra Singh;Satish Narayanasamy;Daniel Marino;Todd Millstein

  • DRFX: a simple and efficient memory model for concurrent programming languages

    Daniel Marino;Abhayendra Singh;Todd Millstein;Madanlal Musuvathi

  • Detecting and surviving data races using complementary schedules

    Kaushik Veeraraghavan;Peter M. Chen;Jason Flinn;Satish Narayanasamy

  • Respec: Efficient Online Multiprocessor Replay via Speculation and External Determinism

    Dongyoon Lee;Benjamin Wester;Kaushik Veeraraghavan;Satish Narayanasamy

  • A case for an SC-preserving compiler

    Daniel Marino;Abhayendra Singh;Todd Millstein;Madanlal Musuvathi

Frequent Co-Authors

Peter M. Chen
Peter M. Chen University of Michigan–Ann Arbor
David Blaauw
David Blaauw University of Michigan–Ann Arbor
Reetuparna Das
Reetuparna Das University of Michigan–Ann Arbor
Brad Calder
Brad Calder Google (United States)
Jason Flinn
Jason Flinn Facebook (United States)
Madanlal Musuvathi
Madanlal Musuvathi Microsoft (United States)
Todd Millstein
Todd Millstein University of California, Los Angeles
Thomas F. Wenisch
Thomas F. Wenisch University of Michigan–Ann Arbor
Scott Mahlke
Scott Mahlke University of Michigan–Ann Arbor
William S.-Y. Wang
William S.-Y. Wang Hong Kong Polytechnic University

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