World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
9270
World Ranking
6181
National Ranking
2772

Research.com Recognitions

  • 2014 - ACM Distinguished Member

Overview

David Kaeli is affiliated with Northeastern University in the United States. Their research spans across the fields of Computer Science and Engineering, with significant contributions in several specialized subfields. These subfields include Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture, and Computer Networks and Communications.

The scientist's research interests are reflected in the main topics covered in their publications. These include Parallel Computing and Optimization Techniques, Advanced Neural Network Applications, Advanced Memory and Neural Computing, Cloud Computing and Resource Management, Advanced Data Storage Technologies, Ferroelectric and Negative Capacitance Devices, and Image and Signal Denoising Methods.

David Kaeli has published in a variety of venues, with frequent publications appearing in:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Hazardous Materials
  • IEEE Transactions on Parallel and Distributed Systems
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Recent papers include titles such as:

  • "Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search," 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "ArmorAll," 2020, published in ACM Transactions on Architecture and Code Optimization
  • "An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration," 2022, in Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design
  • "Machine learning-based biomarkers identification from toxicogenomics - Bridging to regulatory relevant phenotypic endpoints," 2021, published in Journal of Hazardous Materials
  • "Effects of trust-based decision making in disrupted supply chains," 2020, published in PLoS ONE

The scientist's frequent collaborators include José Luis Abellán, Nícolas Bohm Agostini, Yifan Sun, Ajay Joshi, and John Kim.

David Kaeli is also an author of a book titled ACCELERATED COMPUTING WITH HIP, published by LCC MAKS Press eBooks in 2024.

In recognition of their contributions, David Kaeli was awarded the ACM Distinguished Member honor in 2014.

Best Publications

  • Multi2Sim: a simulation framework for CPU-GPU computing

    Rafael Ubal;Byunghyun Jang;Perhaad Mistry;Dana Schaa

  • Heterogeneous Computing with OpenCL

    Benedict Gaster;Lee Howes;David R. Kaeli;Perhaad Mistry

  • Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

    Byunghyun Jang;Dana Schaa;Perhaad Mistry;David Kaeli

  • Branch history table prediction of moving target branches due to subroutine returns

    David R. Kaeli;Philip G. Emma

  • Eliminating microarchitectural dependency from Architectural Vulnerability

    Vilas Sridharan;David R. Kaeli

  • Bi-criteria models for all-uses test suite reduction

    Jennifer Black;Emanuel Melachrinoudis;David Kaeli

  • Analyzing and Increasing the Reliability of Convolutional Neural Networks on GPUs

    Fernando Fernandes dos Santos;Pedro Foletto Pimenta;Caio Lunardi;Lucas Draghetti

  • Welcome to the opportunities of binary translation

    E.R. Altman;D. Kaeli;Y. Sheffer

  • VMM-based intrusion detection system

    Micha Moffie;David Kaeli;Aviram Cohen;Javed Aslam

  • Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms

    Leiming Yu;Fanny Nina-Paravecino;David R. Kaeli;Qianqian Fang

  • Efficient procedure mapping using cache line coloring

    Amir H. Hashemi;David R. Kaeli;Brad Calder

  • Exploring the multiple-GPU design space

    Dana Schaa;David Kaeli

  • Heterogeneous Computing with OpenCL 2.0

    David R. Kaeli;Perhaad Mistry;Dana Schaa;Dong Ping Zhang

  • Quantifying load imbalance on virtualized enterprise servers

    Emmanuel Arzuaga;David R. Kaeli

  • Balancing Performance and Reliability in the Memory Hierarchy

    G.-H. Asadi;Vilas Sridharan;M.B. Tahoori;D. Kaeli

  • Hetero-mark, a benchmark suite for CPU-GPU collaborative computing

    Yifan Sun;Xiang Gong;Amir Kavyan Ziabari;Leiming Yu

  • A complete key recovery timing attack on a GPU

    Zhen Hang Jiang;Yunsi Fei;David Kaeli

  • A finite state model for respiratory motion analysis in image guided radiation therapy.

    Huanmei Wu;Gregory C Sharp;Betty Salzberg;David Kaeli

  • Using Benchmarks for Radiation Testing of Microprocessors and FPGAs

    Heather Quinn;William H. Robinson;Paolo Rech;Miguel Aguirre

  • Virtual machine monitor-based lightweight intrusion detection

    Fatemeh Azmandian;Micha Moffie;Malak Alshawabkeh;Jennifer Dy

  • Introduction to Parallel Programming

    Benedict R. Gaster;Lee Howes;David R. Kaeli;Perhaad Mistry

Frequent Co-Authors

Jennifer G. Dy
Jennifer G. Dy Northeastern University
Javed A. Aslam
Javed A. Aslam Northeastern University
Akram N. Alshawabkeh
Akram N. Alshawabkeh Northeastern University
John Kim
John Kim University of California, Los Angeles
Mehdi B. Tahoori
Mehdi B. Tahoori Karlsruhe Institute of Technology
Antonio Gonzalez
Antonio Gonzalez Universitat Politècnica de Catalunya
Gregory C. Sharp
Gregory C. Sharp Harvard University
Stacy Marsella
Stacy Marsella Northeastern University
Per Stenström
Per Stenström Chalmers University of Technology
David Whalley
David Whalley Florida State University

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