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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
50
Citations
9118
World Ranking
5655
National Ranking
89

Electronics and Electrical Engineering

D-Index
46
Citations
8143
World Ranking
3400
National Ranking
34

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Henk Corporaal is affiliated with Eindhoven University of Technology in the Netherlands and has contributed extensively to research in computer science and engineering. Their work primarily focuses on fields such as electrical and electronic engineering, hardware and architecture, and artificial intelligence, with significant emphasis on parallel computing and optimization techniques, advanced memory and neural computing, and neural network applications.

Corporaal's recent publications cover a variety of topics in data-intensive and reconfigurable computing, machine learning optimization, and convolutional neural networks. Notable papers include:

  • "FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications" (2021, IEEE Micro)
  • "Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numeric Behaviors" (2022, IEEE Transactions on Parallel and Distributed Systems)
  • "OCC: An Automated End-to-End Machine Learning Optimizing Compiler for Computing-In-Memory" (2021, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems)
  • "ConvFusion: A Model for Layer Fusion in Convolutional Neural Networks" (2021, IEEE Access)
  • "Accelerating Weather Prediction Using Near-Memory Reconfigurable Fabric" (2022, ACM Transactions on Reconfigurable Technology and Systems)

Their collaborative network features frequent coauthors such as Sander Stuijk, Onur Mutlu, Gagandeep Singh, Juan Gómez-Luna, and Barry de Bruin. The collaboration with these researchers spans various topics in computing and architecture.

Corporaal has published in prominent venues, with multiple contributions to:

  • arXiv (Cornell University)
  • IEEE Access
  • 2022 25th Euromicro Conference on Digital System Design (DSD)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • ACM Transactions on Reconfigurable Technology and Systems

The main research topics covered across their publications include:

  • Parallel Computing and Optimization Techniques
  • Advanced Memory and Neural Computing
  • Advanced Neural Network Applications
  • Ferroelectric and Negative Capacitance Devices
  • Embedded Systems Design Techniques
  • Advanced Data Storage Technologies
  • Advanced Image and Video Retrieval Techniques

Henk Corporaal's body of work contributes to ongoing developments in computing architectures, acceleration of data-intensive applications, and optimization strategies for machine learning and neural network systems.

Best Publications

  • Memory-centric accelerator design for Convolutional Neural Networks

    Maurice Peemen;Arnaud A. A. Setio;Bart Mesman;Henk Corporaal

  • Microprocessor Architectures: From Vliw to Tta

    Henk Corporaal

  • Multiprocessor resource allocation for throughput-constrained synchronous dataflow graphs

    S. Stuijk;T. Basten;M. C. W. Geilen;H. Corporaal

  • System-scenario-based design of dynamic embedded systems

    Stefan Valentin Gheorghita;Martin Palkovic;Juan Hamers;Arnout Vandecappelle

  • Designing domain-specific processors

    Marnix Arnold;Henk Corporaal

  • Memristor based computation-in-memory architecture for data-intensive applications

    Said Hamdioui;Lei Xie;Hoang Anh Du Nguyen;Mottaqiallah Taouil

  • A detailed GPU cache model based on reuse distance theory

    Cedric Nugteren;Gert-Jan van den Braak;Henk Corporaal;Henri Bal

  • MOVE: a framework for high-performance processor design

    Henk Corporaal;Hans Mulder

  • Memristor for computing: Myth or reality?

    Said Hamdioui;Shahar Kvatinsky;Gert Cauwenberghs;Lei Xie

  • An Ultra-Low-Energy Multi-Standard JPEG Co-Processor in 65 nm CMOS With Sub/Near Threshold Supply Voltage

    Yu Pu;J. Pineda de Gyvez;H. Corporaal;Yajun Ha

  • An FPGA Design Flow for Reconfigurable Network-Based Multi-Processor Systems on Chip

    A. Kumar;A. Hansson;J. Huisken;H. Corporaal

  • Coarse grained reconfigurable architectures in the past 25 years: Overview and classification

    Mark Wijtvliet;Luc Waeijen;Henk Corporaal

  • Layer assignment techniques for low energy in multi-layered memory organisations

    E. Brockmeyer;M. Miranda;H. Corporaal;F. Catthoor

  • Transport-Triggering versus Operation-Triggering

    Jan Hoogerbrugge;Henk Corporaal

  • A Review of Near-Memory Computing Architectures: Opportunities and Challenges

    Gagandeep Singh;Lorenzo Chelini;Stefano Corda;Ahsan Javed Awan

  • Adaptive and transparent cache bypassing for GPUs

    Ang Li;Gert-Jan van den Braak;Akash Kumar;Henk Corporaal

  • Interactive presentation: An FPGA design flow for reconfigurable network-based multi-processor systems on chip

    Akash Kumar;Andreas Hansson;Jos Huisken;Henk Corporaal

  • Partitioned register file for TTAs

    Johan Janssen;Henk Corporaal

  • Multiprocessor systems synthesis for multiple use-cases of multiple applications on FPGA

    Akash Kumar;Shakith Fernando;Yajun Ha;Bart Mesman

  • Application Scenarios in Streaming-Oriented Embedded-System Design

    S.V. Gheorghita;T. Basten;H. Corporaal

  • NAPEL: Near-Memory Computing Application Performance Prediction via Ensemble Learning

    Gagandeep Singh;Juan Gomez-Luna;Giovanni Mariani;Geraldo F. Oliveira

  • Bones: An Automatic Skeleton-Based C-to-CUDA Compiler for GPUs

    Cedric Nugteren;Henk Corporaal

  • Analytics for the internet of things

    Mathias Funk;Piet van der Putten;Henk Corporaal

Frequent Co-Authors

Sander Stuijk
Sander Stuijk Eindhoven University of Technology
Akash Kumar
Akash Kumar TU Dresden
Twan Basten
Twan Basten Eindhoven University of Technology
Marc Geilen
Marc Geilen Eindhoven University of Technology
Said Hamdioui
Said Hamdioui Delft University of Technology
H. De Man
H. De Man KU Leuven
Karen Maex
Karen Maex University of Amsterdam

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