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Computer Science

D-Index
75
Citations
19346
World Ranking
1430
National Ranking
741

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to parallel programming tools for high-performance computing

Overview

P. Sadayappan is a researcher affiliated with the University of Utah in the United States, specializing in computer science with a focus on hardware and architecture, molecular biology, computational mathematics, artificial intelligence, and computational mechanics.

Their work spans several interconnected fields, including parallel computing and optimization techniques, tensor decomposition and applications, genomics and phylogenetic studies, RNA and protein synthesis mechanisms, chromosomal and genetic variations, model reduction and neural networks, and lattice Boltzmann simulation studies.

Frequent publication venues where Sadayappan has contributed include:

  • arXiv (Cornell University)
  • ACM Transactions on Architecture and Code Optimization
  • Zenodo (CERN European Organization for Nuclear Research)
  • AI Magazine
  • 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Recent papers attributed to Sadayappan's collaborations are:

  • "Autotuning Convolutions Is Easier Than You Think", 2022, ACM Transactions on Architecture and Code Optimization
  • "Creating intelligent cyberinfrastructure for democratizing AI", 2024, AI Magazine
  • "Sparsity-Aware Tensor Decomposition", 2022, 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • "BOA: A partitioned view of genome assembly", 2022, iScience
  • "CoNST: Code Generator for Sparse Tensor Networks", 2024, ACM Transactions on Architecture and Code Optimization

Collaborators who frequently work with Sadayappan include Sandip Mazumder, Hari Sundar, Siddharth Saurav, Süreyya Emre Kurt, and Aravind Sukumaran-Rajam.

Sadayappan was recognized as an IEEE Fellow in 2015 for contributions to parallel programming tools for high-performance computing.

Best Publications

  • A practical automatic polyhedral parallelizer and locality optimizer

    Uday Bondhugula;Albert Hartono;J. Ramanujam;P. Sadayappan

  • NWChem: Past, Present, and Future

    E. Aprà;E. J. Bylaska;W. A. de Jong;N. Govind

  • NWChem: Past, present, and future

    E. Aprà;E. J. Bylaska;W. A. de Jong;N. Govind

  • Gaining insights into multicore cache partitioning: Bridging the gap between simulation and real systems

    Jiang Lin;Qingda Lu;Xiaoning Ding;Zhao Zhang

  • Scalable work stealing

    James Dinan;D. Brian Larkins;P. Sadayappan;Sriram Krishnamoorthy

  • High-performance code generation for stencil computations on GPU architectures

    Justin Holewinski;Louis-Noël Pouchet;P. Sadayappan

  • Automatic transformations for communication-minimized parallelization and locality optimization in the polyhedral model

    Uday Bondhugula;Muthu Baskaran;Sriram Krishnamoorthy;J. Ramanujam

  • Automatic C-to-CUDA code generation for affine programs

    Muthu Manikandan Baskaran;J. Ramanujam;P. Sadayappan

  • A compiler framework for optimization of affine loop nests for gpgpus

    Muthu Manikandan Baskaran;Uday Bondhugula;Sriram Krishnamoorthy;J. Ramanujam

  • Effective automatic parallelization of stencil computations

    Sriram Krishnamoorthy;Muthu Baskaran;Uday Bondhugula;J. Ramanujam

  • Synthesis of High-Performance Parallel Programs for a Class of ab Initio Quantum Chemistry Models

    G. Baumgartner;A. Auer;D.E. Bernholdt;A. Bibireata

  • Scalable I/O forwarding framework for high-performance computing systems

    Nawab Ali;Philip Carns;Kamil Iskra;Dries Kimpe

  • UTS: an unbalanced tree search benchmark

    Stephen Olivier;Jun Huan;Jinze Liu;Jan Prins

  • Compile-time techniques for data distribution in distributed memory machines

    J. Ramanujam;P. Sadayappan

  • Characterization of backfilling strategies for parallel job scheduling

    S. Srinivasan;R. Kettimuthu;V. Subramani;P. Sadayappan

  • Tiling multidimensional iteration spaces for multicomputers

    J. Ramanujam;P. Sadayappan

  • Task allocation onto a hypercube by recursive mincut bipartitioning

    F. Ercal;J. Ramanujan;P. Sadayappan

  • Compiling Array Expressions for Efficient Execution on Distributed-Memory Machines

    S.K.S. Gupta;S.D. Kaushik;C.-H. Huang;P. Sadayappan

  • Polyhedral-based data reuse optimization for configurable computing

    Louis-Noel Pouchet;Peng Zhang;P. Sadayappan;Jason Cong

  • Nearest-Neighbor Mapping of Finite Element Graphs onto Processor Meshes

    Ponnuswamy Sadayappan;Fikret Ercal

Frequent Co-Authors

J. Ramanujam
J. Ramanujam Louisiana State University
Louis-Noël Pouchet
Louis-Noël Pouchet Colorado State University
Atanas Rountev
Atanas Rountev The Ohio State University
Ümit V. Çatalyürek
Ümit V. Çatalyürek Georgia Institute of Technology
Dhabaleswar K. Panda
Dhabaleswar K. Panda The Ohio State University
Sriram Krishnamoorthy
Sriram Krishnamoorthy University of California, Santa Barbara
Tahsin Kurc
Tahsin Kurc Stony Brook University
Joel H. Saltz
Joel H. Saltz Stony Brook University
Albert Cohen
Albert Cohen Google (United States)
Srinivasan Parthasarathy
Srinivasan Parthasarathy The Ohio State University

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