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Computer Science

D-Index
32
Citations
3297
World Ranking
13298
National Ranking
203

Overview

Avi Mendelson is affiliated with the Technion - Israel Institute of Technology in Israel. Their research spans primarily the fields of Computer Science and Engineering, with a total of 58 and 18 publications respectively. Within these main fields, their work is notably concentrated in subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Hardware and Architecture, and Civil and Structural Engineering.

The scientist's research topics include a breadth of areas such as Advanced Neural Network Applications, Anomaly Detection Techniques and Applications, Adversarial Robustness in Machine Learning, Domain Adaptation and Few-Shot Learning, Security and Verification in Computing, Semiconductor Materials and Devices, and Physical Unclonable Functions (PUFs) and Hardware Security.

Their publication record features several recent papers that reflect these research interests, including:

  • Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • A survey of algorithmic methods in IC reverse engineering, 2021, Journal of Cryptographic Engineering
  • NICE: Noise Injection and Clamping Estimation for Neural Network Quantization, 2021, Mathematics
  • Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems, 2023, Journal Of Big Data
  • Loss aware post-training quantization, 2021, Machine Learning

The venues where Avi Mendelson frequently publishes include arXiv (Cornell University) with 13 papers, Mathematics with 3 papers, Journal Of Big Data with 2 papers, Journal of Low Power Electronics and Applications with 2 papers, and the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) with 1 paper.

Collaboration is a notable aspect of their research activity. Frequent co-authors include Chaim Baskin, Evgenii Zheltonozhskii, Alex Bronstein, Freddy Gabbay, and Brian Chmiel.

Best Publications

  • Coming challenges in microarchitecture and architecture

    R. Ronen;A. Mendelson;K. Lai;Shih-Lien Lu

  • Pci express prefetching

    Jasmin Ajanovic;Mahesh Wagh;Prashant Sethi;Debendra Das Sharma

  • Many-Core vs. Many-Thread Machines: Stay Away From the Valley

    Z. Guz;E. Bolotin;I. Keidar;A. Kolodny

  • DiDi: Mitigating the Performance Impact of TLB Shootdowns Using a Shared TLB Directory

    Carlos Villavieja;Vasileios Karakostas;Lluis Vilanova;Yoav Etsion

  • Can program profiling support value prediction

    Freddy Gabbay;Avi Mendelson

  • Using value prediction to increase the power of speculative execution hardware

    Freddy Gabbay;Avi Mendelson

  • Shared virtual memory

    Hu Chen;Ying Gao;Xiaocheng Zhou;Shoumeng Yan

  • Programming model for a heterogeneous x86 platform

    Bratin Saha;Xiaocheng Zhou;Hu Chen;Ying Gao

  • The effect of instruction fetch bandwidth on value prediction

    Freddy Gabbay;Avi Mendelson

  • Loss aware post-training quantization

    Yury Nahshan;Brian Chmiel;Brian Chmiel;Chaim Baskin;Evgenii Zheltonozhskii

  • TERAFLUX: Harnessing dataflow in next generation teradevices

    Roberto Giorgi;Rosa M. Badia;François Bodin;Albert Cohen

  • Fairness and Throughput in Switch on Event Multithreading

    Ron Gabor;Shlomo Weiss;Avi Mendelson

  • Micro-operation cache: a power aware frontend for variable instruction length ISA

    B. Solomon;A. Mendelson;R. Ronen;D. Orenstien

  • A survey of algorithmic methods in IC reverse engineering.

    Leonid Azriel;Julian Speith;Nils Albartus;Ran Ginosar

  • On Estimating Optimal Performance of CPU Dynamic Thermal Management

    A. Cohen;F. Finkelstein;A. Mendelson;R. Ronen

  • Designing high-performance and reliable superscalar architectures-the out of order reliable superscalar (O3RS) approach

    A. Mendelson;N. Suri

  • Contrast to Divide: self-supervised pre-training for learning with noisy labels

    Evgenii Zheltonozhskii;Chaim Baskin;Avi Mendelson;Alex M. Bronstein

  • Deep-dive analysis of the data analytics workload in CloudSuite.

    Ahmad Yasin;Yosi Ben-Asher;Avi Mendelson

  • Micro-operation cache: a power aware frontend for the variable instruction length ISA

    Baruch Solomon;Avi Mendelson;Doron Orenstein;Yoav Almog

  • Power Awareness through Selective Dynamically Optimized Traces

    Roni Rosner;Yoav Almog;Micha Moffie;Naftali Schwartz

  • Analysis of Thermal Monitor features of the Intel® Pentium® M Processor

    Efi Rotem;Alon Naveh;Micha Moffie;Avi Mendelson

  • Design Alternatives of Multithreaded Architecture

    Avi Mendelson;Michael Bekerman

  • Power and thermal constraints of modern system-on-a-chip computer

    Efraim Rotem;Ran Ginosar;Avi Mendelson;Uri C. Weiser

Frequent Co-Authors

Alexander M. Bronstein
Alexander M. Bronstein Technion – Israel Institute of Technology
Ran Ginosar
Ran Ginosar Technion – Israel Institute of Technology
Assaf Schuster
Assaf Schuster Technion – Israel Institute of Technology
Raja Giryes
Raja Giryes Tel Aviv University
Avinoam Kolodny
Avinoam Kolodny Technion – Israel Institute of Technology
Bratin Saha
Bratin Saha Amazon (United States)
Dejan Milojicic
Dejan Milojicic Hewlett-Packard (United States)
Christof Paar
Christof Paar Max Planck Institute for Security and Privacy
Albert Cohen
Albert Cohen Google (United States)
Ariel Orda
Ariel Orda Technion – Israel Institute of Technology

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