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Computer Science

D-Index
34
Citations
4295
World Ranking
12258
National Ranking
4967

Overview

Tatiana Shpeisman is affiliated with Modular AI in the United States. Their research focuses on computer science and mathematics, with particular attention to hardware and architecture, computational mathematics, and artificial intelligence. The subfields of study they engage with include computational theory and mathematics, as well as information systems and management.

Their work spans several main topics, including parallel computing and optimization techniques, tensor decomposition and applications, numerical methods and algorithms, logic, programming and type systems, scientific computing and data management, and computational physics and Python applications.

Tatiana Shpeisman has contributed to multiple publication venues, prominently including arXiv (Cornell University) and ACM Transactions on Architecture and Code Optimization.

The scientist's recent papers include:

  • MLIR: A Compiler Infrastructure for the End of Moore's Law, 2020, arXiv (Cornell University)
  • Compiler Support for Sparse Tensor Computations in MLIR, 2022, ACM Transactions on Architecture and Code Optimization
  • Compiler Support for Sparse Tensor Computations in MLIR, 2022, arXiv (Cornell University)

The research collaborations of Tatiana Shpeisman feature a number of frequent coauthors, such as:

  • Nicolas Vasilache
  • Aart J. C. Bik
  • Penporn Koanantakool
  • Fredrik Kjølstad
  • Bixia Zheng

Best Publications

  • Compiler and runtime support for efficient software transactional memory

    Ali-Reza Adl-Tabatabai;Brian T. Lewis;Vijay Menon;Brian R. Murphy

  • MLIR: scaling compiler infrastructure for domain specific computation

    Chris Lattner;Mehdi Amini;Uday Bondhugula;Albert Cohen

  • The Omega Library interface guide

    Wayne Kelly;Vadim Maslov;William Pugh;Evan Rosser

  • Open nesting in software transactional memory

    Yang Ni;Vijay S. Menon;Ali-Reza Adl-Tabatabai;Antony L. Hosking

  • Enforcing isolation and ordering in STM

    Tatiana Shpeisman;Vijay Menon;Ali-Reza Adl-Tabatabai;Steven Balensiefer

  • MLIR: A Compiler Infrastructure for the End of Moore's Law.

    Chris Lattner;Jacques A. Pienaar;Mehdi Amini;Uday Bondhugula

  • Practical weak-atomicity semantics for java stm

    Vijay Menon;Steven Balensiefer;Tatiana Shpeisman;Ali-Reza Adl-Tabatabai

  • Adaptive heterogeneous scheduling for integrated GPUs

    Rashid Kaleem;Rajkishore Barik;Tatiana Shpeisman;Brian T. Lewis

  • Transitive Closure of Infinite Graphs and Its Applications

    Wayne Kelly;William Pugh;Evan Rosser;Tatiana Shpeisman

  • Aspect-Oriented Programming of Sparse Matrix Code

    John Irwin;Jean-Marc Loingtier;John R. Gilbert;Gregor Kiczales

  • Enabling scalability and performance in a large scale CMP environment

    Bratin Saha;Ali-Reza Adl-Tabatabai;Anwar Ghuloum;Mohan Rajagopalan

  • Efficient non-transactional write barriers for strong atomicity

    Tatiana Shpeisman;Ali-Reza Adl-Tabatabai;Vijay Menon;Bratin Saha

  • Method, apparatus and system for strong atomicity in a transactional memory system

    Saha Bratin;Adl-Tabatabai Ali-Reza;Wang Cheng;Shpeisman Tatiana

  • Safe nondeterminism in a deterministic-by-default parallel language

    Robert L. Bocchino;Stephen Heumann;Nima Honarmand;Sarita V. Adve

  • Optimizing quiescence in a software transactional memory (stm) system

    Tatiana Shpeisman;Ali-Reza Adl-Tabatabai;Vijay Menon

  • Invyswell: a hybrid transactional memory for haswell's restricted transactional memory

    Irina Calciu;Justin Gottschlich;Tatiana Shpeisman;Gilles Pokam

  • Dynamic optimization for removal of strong atomicity barriers

    Tatiana Shpeisman;Vijay Menon;All-Reza Adl-Tabatabai

  • Lock elision with transactional memory

    Ali-Reza Adl-Tabatabai;Jesse Fang;Anwar Ghuloum;Rick Hudson

  • Compiler Support for Sparse Tensor Computations in MLIR

    Unknown

  • Single global lock semantics in a weakly atomic STM

    Vijay Menon;Steven Balensiefer;Tatiana Shpeisman;Ali-Reza Adl-Tabatabai

  • Methods and systems for transactional nested parallelism

    Adam Welc;Haris Volos;Ali Adl-Tabatabai;Tatiana Shpeisman

Frequent Co-Authors

Bratin Saha
Bratin Saha Amazon (United States)
Nadathur Satish
Nadathur Satish Facebook (United States)
William Pugh
William Pugh University of Maryland, College Park
Jan Vitek
Jan Vitek Northeastern University
Karsten Schwan
Karsten Schwan Georgia Institute of Technology
Keshav Pingali
Keshav Pingali The University of Texas at Austin
Gregor Kiczales
Gregor Kiczales University of British Columbia
Sanu Mathew
Sanu Mathew Intel (United States)
Mark A. Anders
Mark A. Anders Intel (United States)

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