Skip to content
VuFind
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
    • 日本語
    • Nederlands
    • Português
    • Português (Brasil)
    • 中文(简体)
    • 中文(繁體)
    • Türkçe
    • עברית
    • Gaeilge
    • Cymraeg
    • Ελληνικά
    • Català
    • Euskara
    • Русский
    • Čeština
    • Suomi
    • Svenska
    • polski
    • Dansk
    • slovenščina
    • اللغة العربية
    • বাংলা
    • Galego
    • Tiếng Việt
    • Hrvatski
    • हिंदी
    • Հայերէն
    • Українська
    • Sámegiella
    • Монгол
    • Māori
Advanced
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
Cover Image

Saved in:
Bibliographic Details
Main Authors: P, Srivatsa, Chu, Kyle Timothy Ng, Amornpaisannon, Burin, Tavva, Yaswanth, Miriyala, Venkata Pavan Kumar, Wu, Jibin, Zhang, Malu, Li, Haizhou, Carlson, Trevor E.
Format: Preprint
Published: 2020
Subjects:
Neural and Evolutionary Computing
Artificial Intelligence
Hardware Architecture
Machine Learning
Online Access:https://arxiv.org/abs/2006.09982
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Holdings
  • Description
  • Table of Contents
  • Comments
  • Similar Items
  • Staff View
Be the first to leave a comment!
You must be logged in first

Similar Items

  • UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy
    by: Xing, Qinghui, et al.
    Published: (2026)
  • A 0.5-V Linear Neuromorphic Voltage-to-Spike Encoder Using a Bulk-Driven Transconductor
    by: Akbari, Meysam, et al.
    Published: (2026)
  • SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks
    by: Gunawardana, Kanishka, et al.
    Published: (2026)
  • Full Feature Spiking Neural Network Simulation on Micro-Controllers for Neuromorphic Applications at the Edge
    by: Niedermeier, L., et al.
    Published: (2026)
  • What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips
    by: Li, Renjie, et al.
    Published: (2025)

Search Options

  • Search History
  • Advanced Search

Find More

  • Browse the Catalog
  • Browse Alphabetically
  • Explore Channels
  • Course Reserves
  • New Items

Need Help?

  • Search Tips
  • Ask a Librarian
  • FAQs