publications

Please refer to my vitae for the most up-to-date list of publications.

2023

  1. HPEC
    Generating High-Performance Number Theoretic Transform Implementations for Vector Architectures
    Naifeng Zhang, Austin Ebel , Negar Neda , and 7 more authors
    IEEE High Performance Extreme Computing Conference, 2023
  2. HPEC
    Optimization and Performance Analysis of Shor’s Algorithm in Qiskit
    Dewang Sun , Naifeng Zhang, and Franz Franchetti
    IEEE High Performance Extreme Computing Conference, 2023
  3. HPEC
    Twiddle Factor Generation for a Vectorized Number Theoretic Transform
    Patrick Brinich , Naifeng Zhang, Austin Ebel , and 2 more authors
    IEEE High Performance Extreme Computing Conference, 2023
  4. HPEC
    EVPFFTX: A First Look at FFTX Applications in Material Science
    Het Mankad , Andrea Rovinelli , Miroslav Zecevic , and 6 more authors
    IEEE High Performance Extreme Computing Conference, 2023
  5. GOMAC
    TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation
    David Bruce Cousins , Yuriy Polyakov , Ahmad Al Badawi , and 8 more authors
    Government Microcircuit Applications and Critical Technology Conference, 2023
  6. CGO
    Generating Number Theoretic Transforms for Multi-Word Integer Data Types
    Naifeng Zhang, and Franz Franchetti
    IEEE/ACM International Symposium on Code Generation and Optimization, 2023
  7. ISPASS
    RPU: The Ring Processing Unit
    Deepraj Soni , Negar Neda , Naifeng Zhang, and 8 more authors
    In IEEE International Symposium on Performance Analysis of Systems and Software , 2023

2022

  1. HPEC
    Towards Full-Stack Acceleration for Fully Homomorphic Encryption
    Naifeng Zhang, Homer Gamil , Patrick Brinich , and 14 more authors
    IEEE High Performance Extreme Computing Conference, 2022
  2. PoS
    Towards the shortest DRAT proof of the Pigeonhole Principle
    Isaac Grosof , Naifeng Zhang, and Marijn JH Heule
    Pragmatics of SAT International Workshop, 2022

2021

  1. PEHC
    GenMAT: A General-Purpose Machine Learning-Driven Auto-Tuner for Heterogeneous Platforms
    Naifeng Zhang, Ajitesh Srivastava , Rajgopal Kannan , and 1 more author
    In IEEE/ACM Programming Environments for Heterogeneous Computing , 2021

2020

  1. HiPC
    Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction
    Ajitesh Srivastava , Naifeng Zhang, Rajgopal Kannan , and 1 more author
    In IEEE 27th International Conference on High Performance Computing, Data, and Analytics , 2020
  2. ESPM2
    Compiler Abstractions and Runtime for Extreme-scale SAR and CFD Workloads
    Connor Imes , Alexei Colin , Naifeng Zhang, and 3 more authors
    In IEEE/ACM 5th International Workshop on Extreme Scale Programming Models and Middleware , 2020