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Implementing CNN Layers on the Manticore Cluster-Based Many-Core Architecture

arXiv 2104.08009 ↗First posted 16 Apr 2021cs.DC cs.AR cs.CVcited by 0

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Abstract (arXiv)

This document presents implementations of fundamental convolutional neural network (CNN) layers on the Manticore cluster-based many-core architecture and discusses their characteristics and trade-offs.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 6 references that are in the map. First posted on arXiv 16 Apr 2021.

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3 of 6 references.

References · 3

  1. 2020Snitch: A tiny Pseudo Dual-Issue Processor for Area and Energy Efficient Execution of Floating-Point Intensive Workloadscited by 10
  2. 2020Manticore: A 4096-core RISC-V Chiplet Architecture for Ultra-efficient Floating-point Computingcited by 5
  3. 2020An Open-Source Platform for High-Performance Non-Coherent On-Chip Communicationcited by 1

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