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

arXiv: https://arxiv.org/abs/2104.08009 · HTML: https://mlsanity.com/paper/2104.08009/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 6 references that are in the map.
- First posted on arXiv 16 Apr 2021.

## Builds on (most cited first, 3 of 3)

- [Snitch: A tiny Pseudo Dual-Issue Processor for Area and Energy Efficient Execution of Floating-Point Intensive Workloads](https://mlsanity.com/paper/2002.10143/) (2020)
- [Manticore: A 4096-core RISC-V Chiplet Architecture for Ultra-efficient Floating-point Computing](https://mlsanity.com/paper/2008.06502/) (2020)
- [An Open-Source Platform for High-Performance Non-Coherent On-Chip Communication](https://mlsanity.com/paper/2009.05334/) (2020)

## 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.