World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
5121
World Ranking
13520
National Ranking
5402

Overview

Calin Cascaval is affiliated with Google in the United States. Their primary research domain is Computer Science, with a particular focus on Computer Networks and Communications. Their work spans related subfields such as Hardware and Architecture, Cognitive Neuroscience, Computational Theory and Mathematics, and Cellular and Molecular Neuroscience.

Their research topics cover several interrelated areas, including:

  • Distributed systems and fault tolerance
  • Network Time Synchronization Technologies
  • Distributed and Parallel Computing Systems
  • Interconnection Networks and Systems
  • Parallel Computing and Optimization Techniques
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering

Calin Cascaval has contributed to multiple recent papers, notable among them are:

  • Logical Synchrony and the Bittide Mechanism, 2024, published in IEEE Transactions on Parallel and Distributed Systems
  • Logical Synchrony Networks: A Formal Model for Deterministic Distribution, 2024, published in IEEE Access
  • Modeling and Control of bittide Synchronization, 2022, presented at the 2022 American Control Conference (ACC)
  • Resistance Distance and Control Performance for bittide Synchronization, 2022, presented at the 2022 European Control Conference (ECC)
  • Resistance Distance and Control Performance for bittide Synchronization, 2021, available on arXiv (Cornell University)

Their frequent collaborators include Sanjay Lall, Martin Izzard, Tammo Spalink, Logan Kenwright, and Partha S. Roop. These coauthors have worked with Cascaval on multiple publications, contributing to their collective research output.

The venues where Cascaval has published frequently reflect their research interests and include:

  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Access
  • 2022 American Control Conference (ACC)
  • 2022 European Control Conference (ECC)

Calin Cascaval's research outputs highlight a consistent engagement with topics central to distributed and parallel computing as well as synchronization mechanisms essential to networked systems. Their interdisciplinary work also extends toward cognitive and neural dynamics, reflecting an integration of computing technologies with neuroscience concepts.

Best Publications

  • An Overview of the BlueGene/L Supercomputer

    N.R. Adiga;G. Almasi;G.S. Almasi;Y. Aridor

  • Bulk Disambiguation of Speculative Threads in Multiprocessors

    Luis Ceze;James Tuck;Josep Torrellas;Calin Cascaval

  • Software transactional memory: why is it only a research toy?

    Calin Cascaval;Colin Blundell;Maged Michael;Harold W. Cain

  • Blue Gene: a vision for protein science using a petaflop supercomputer

    F. Allen;G. Almasi;W. Andreoni;D. Beece

  • Characterizing and predicting program behavior and its variability

    Evelyn Duesterwald;Calin Cascaval;Sandhya Dwarkadas

  • Lonestar: A suite of parallel irregular programs

    Milind Kulkarni;Martin Burtscher;Calin Cascaval;Keshav Pingali

  • Estimating cache misses and locality using stack distances

    Calin CaΒcaval;David A. Padua

  • How much parallelism is there in irregular applications

    Milind Kulkarni;Martin Burtscher;Rajeshkar Inkulu;Keshav Pingali

  • Calculating stack distances efficiently

    George Almási;Cǎlin Caşcaval;David A. Padua

  • p4v: practical verification for programmable data planes

    Jed Liu;William Hallahan;Cole Schlesinger;Milad Sharif

  • Implicit parallelism with ordered transactions

    Christoph von Praun;Luis Ceze;Calin Caşcaval

  • Analytical Modeling of Pipeline Parallelism

    Angeles Navarro;Rafael Asenjo;Siham Tabik;Calin Cascaval

  • Compile-Time Based Performance Prediction

    Calin Cascaval;Luiz De Rose;David A. Padua;Daniel A. Reed

  • Software Transactional Memory: Why Is It Only a Research Toy?: The promise of STM may likely be undermined by its overheads and workload applicabilities.

    Calin Cascaval;Colin Blundell;Maged Michael;Harold W. Cain

  • AN OVERVIEW OF THE BLUEGENE/L SYSTEM SOFTWARE ORGANIZATION

    George Almási;Ralph Bellofatto;José R. Brunheroto;Calin Cascaval

  • Shared memory programming for large scale machines

    Christopher Barton;CĆlin Casçaval;George Almási;Yili Zheng

  • An Overview of the Blue Gene/L System Software Organization

    George Almási;Ralph Bellofatto;José R. Brunheroto;Calin Cascaval

  • Multiple page size modeling and optimization

    C. Cascaval;E. Duesterwald;P.F. Sweeney;R.W. Wisniewski

  • Modeling optimistic concurrency using quantitative dependence analysis

    Christoph von Praun;Rajesh Bordawekar;Calin Cascaval

  • Dissecting Cyclops: a detailed analysis of a multithreaded architecture

    George Almási;Cǎlin Caşcaval;José G. Castaños;Monty Denneau

Frequent Co-Authors

Luis Ceze
Luis Ceze University of Washington
José E. Moreira
José E. Moreira IBM (United States)
Xavier Martorell
Xavier Martorell Universitat Politècnica de Catalunya
Karin Strauss
Karin Strauss Microsoft (United States)
Josep Torrellas
Josep Torrellas University of Illinois at Urbana-Champaign
Maged M. Michael
Maged M. Michael Facebook (United States)
Mark E. Giampapa
Mark E. Giampapa IBM (United States)
Manish Gupta
Manish Gupta Google (United States)
Rajesh Bordawekar
Rajesh Bordawekar IBM (United States)
Paul W. Coteus
Paul W. Coteus IBM (United States)

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