MnnFast: A Fast and Scalable System Architecture for Memory-Augmented Neural Networks

Memory-augmented neural networks are getting more attention from many researchers as they can make an inference with the previous history stored in memory. Especially, among these memory-augmented neural networks, memory networks are known for their huge reasoning power and capability to learn from...

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Bibliographic Details
Published in:	2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture (ISCA) pp. 250 - 263
Main Authors:	Jang, Hanhwi, Kim, Joonsung, Jo, Jae-Eon, Lee, Jaewon, Kim, Jangwoo
Format:	Conference Proceeding
Language:	English
Published:	ACM 01.06.2019
Subjects:	Accelerator Algorithm-Hardware Co-Design Architecture Attention-based Neural Networks Bandwidth Cognition Computation/Dataflow Optimization Field programmable gate arrays Graphics processing units Hardware Machine Learning Machine learning algorithms Memory management Memory Networks Neural networks Optimization Parallel Algorithm Systems architecture
ISSN:	2575-713X
Online Access:	Get full text
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