Power-Intent Systolic Array Using Modified Parallel Multiplier for Machine Learning Acceleration

Power-Intent Systolic Array Using Modified Parallel Multiplier for Machine Learning Acceleration

Systolic arrays are an integral part of many modern machine learning (ML) accelerators due to their efficiency in performing matrix multiplication that is a key primitive in modern ML models. Current state-of-the-art in systolic array-based accelerators mainly target area and delay optimizations wit...

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Bibliographic Details
Main Authors: Alkahtani, H.K (Author), Hassnain Mohsan, S.A (Author), Inayat, K. (Author), Iqbal, J. (Author), Mostafa, S.M (Author), Muslim, F.B (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
accelerators
Adders
Array design
Cost reduction
deep learning
Deep learning
Delay costs
Integral part
Learning systems
machine learning
Machine-learning
Modern machines
Parallel multipliers
Power
Power Optimization
power-intent
Power-intent
systolic arrays
Systolic arrays
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