World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
8475
World Ranking
5421
National Ranking
2472

Research.com Recognitions

  • 2021 - IEEE Fellow For advances in high performance computing systems software and processor design
  • 2009 - ACM Distinguished Member

Overview

José E. Moreira is affiliated with IBM in the United States and works primarily in the field of computer science. Their research spans multiple subfields, with an emphasis on hardware and architecture, computer networks and communications, computer vision and pattern recognition, computational theory and mathematics, and electrical and electronic engineering.

The scientist's work focuses on several main topics, including:

  • Parallel Computing and Optimization Techniques
  • Numerical Methods and Algorithms
  • Advanced Data Storage Technologies
  • Low-power high-performance VLSI design
  • Advanced Neural Network Applications
  • Forecasting Techniques and Applications
  • Interconnection Networks and Systems

Their recent papers showcase a range of contributions across various venues. These include:

  • "IBM's POWER10 Processor," 2021, published in IEEE Micro
  • "KernelFaRer," 2021, published in ACM Transactions on Architecture and Code Optimization
  • "Advancing Direct Convolution Using Convolution Slicing Optimization and ISA Extensions," 2023, published in ACM Transactions on Architecture and Code Optimization
  • "YaConv: Convolution with Low Cache Footprint," 2022, published in ACM Transactions on Architecture and Code Optimization
  • "Compiling for the IBM Matrix Engine for Enterprise Workloads," 2022, published in IEEE Micro

Their frequent collaborators include João P. L. de Carvalho, José Nelson Amaral, Guido Araújo, Martim Sousa, and Ana Maria Tomé.

José E. Moreira's studies have been published in a variety of venues, notably:

  • arXiv (Cornell University)
  • ACM Transactions on Architecture and Code Optimization
  • IEEE Micro
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Expert Systems with Applications

In recognition of contributions to the field, the scientist was named an IEEE Fellow in 2021 for advances in high performance computing systems software and processor design.

Earlier in their career, José E. Moreira was acknowledged as an ACM Distinguished Member in 2009.

Best Publications

  • An Overview of the BlueGene/L Supercomputer

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

  • Critical event prediction for proactive management in large-scale computer clusters

    R. K. Sahoo;A. J. Oliner;I. Rish;M. Gupta

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

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

  • Scale-up x Scale-out: A Case Study using Nutch/Lucene

    M. Michael;J.E. Moreira;D. Shiloach;R.W. Wisniewski

  • Adaptive incremental checkpointing for massively parallel systems

    Saurabh Agarwal;Rahul Garg;Meeta S. Gupta;Jose E. Moreira

  • Optimization of MPI collective communication on BlueGene/L systems

    George Almási;Philip Heidelberger;Charles J. Archer;Xavier Martorell

  • Mathematical foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydin Buluc

  • IBM POWER8 processor core microarchitecture

    B. Sinharoy;J. A. Van Norstrand;R. J. Eickemeyer;H. Q. Le

  • Filtering failure logs for a BlueGene/L prototype

    Y. Liang;Y. Zhang;A. Sivasubramaniam;R.K. Sahoo

  • Mathematical Foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydın Buluc

  • Topology mapping for Blue Gene/L supercomputer

    Hao Yu;I-Hsin Chung;Jose Moreira

  • Java programming for high-performance numerical computing

    J. E. Moreira;S. P. Midkiff;M. Gupta;P. V. Artigas

  • An integrated approach to parallel scheduling using gang-scheduling, backfilling, and migration

    Yanyong Zhang;H. Franke;J. Moreira;A. Sivasubramaniam

  • Method for resource control in parallel environments using program organization and run-time support

    Kattamuri Ekanadham;Jose Eduardo Moreira;Vijay Krishnarao Naik

  • Improving parallel job scheduling by combining gang scheduling and backfilling techniques

    Y. Zhang;H. Franke;J. E. Moreira;Anand Sivasubramaniam

  • Fault-aware job scheduling for BlueGene/L systems

    A.J. Oliner;R.K. Sahoo;J.E. Moreira;M. Gupta

  • Transactional Memory System Supporting Unbroken Suspended Execution

    Harold W. Cain;Bradly G. Frey;Benjamin Herrenschmidt;Hung Q. Le

  • Design and implementation of message-passing services for the Blue Gene/L supercomputer

    G. Almási;C. Archer;J. G. Castaños;J. A. Gunnels

  • High performance file I/O for the Blue Gene/L supercomputer

    H. Yu;R.K. Sahoo;C. Howson;G. Almasi

  • An Evaluation of Parallel Job Scheduling for ASCI Blue-Pacific

    H. Franke;J. Jann;J. E. Moreira;P. Pattnaik

  • From flop to megaflops: Java for technical computing

    José E. Moreira;Samuel P. Midkiff;Manish Gupta

Frequent Co-Authors

Manish Gupta
Manish Gupta Google (United States)
Samuel P. Midkiff
Samuel P. Midkiff Purdue University West Lafayette
Xavier Martorell
Xavier Martorell Universitat Politècnica de Catalunya
Anand Sivasubramaniam
Anand Sivasubramaniam Pennsylvania State University
Hubertus Franke
Hubertus Franke IBM (United States)
Yanyong Zhang
Yanyong Zhang University of Science and Technology of China
Vijay K. Naik
Vijay K. Naik IBM (United States)
Alan Gara
Alan Gara IBM (United States)
Karin Strauss
Karin Strauss Microsoft (United States)
Philip Heidelberger
Philip Heidelberger IBM (United States)

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