HDnn-PIM: Efficient in Memory Design of Hyperdimensional Computing with Feature Extraction
Author:
Affiliation:
1. University of California, San Diego, San Diego, CA, USA
2. IBM Research, San Jose, CA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3526241.3530331
Reference18 articles.
1. PRIME
2. Associative Memristive Memory for Approximate Computing in GPUs
3. FELIX
4. Deep Residual Learning for Image Recognition
5. FloatPIM
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