High Energy Efficiency Neural Network Processor with Combined Digital and Computing-in-Memory Architecture
Neural network (NN) algorithms are driving the rapid development of modern artificial intelligence (AI). The energy-efficient NN processor has become an urgent requirement for the practical NN applications on widespread low-power AI devices. To address this challenge, this dissertation investigates...
সংরক্ষণ করুন:
| প্রধান লেখক: | |
|---|---|
| সংস্থা লেখক: | |
| বিন্যাস: | বৈদ্যুতিক বৈদ্যুতিন গ্রন্থ |
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
|
| সংস্করন: | 1st ed. 2024. |
| মালা: | Springer Theses, Recognizing Outstanding Ph.D. Research,
|
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://doi.org/10.1007/978-981-97-3477-1 |
| ট্যাগগুলো: |
ট্যাগ যুক্ত করুন
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
|
সূচিপত্রের সারণি:
- Introduction
- Basis and research status of neural network processor
- Neural network processor for specific kernel optimized data reuse
- Neural network processor with frequency domain compression algorithm optimization
- Neural network processor combining digital and computing in memory architecture
- Digital computing in memory neural network processor supporting large scale models
- Conclusion and prospect.