© 2024 IEEE
International Solid-State Circuits Conference
Outline
Introduction to machine learning and deep neural networks
Trends and challenges in hardware design
Approaches to scaling single-chip performance
◼ Quantization
◼ Sparsity
Scaling beyond single chip with package-level integration
◼ Efficient communication architecture
◼ Exploiting parallelism
ISSCC 2024 Short Course Machine learning hardware: considerations
and accelerator approaches
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