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It's almost always better to have a dedicated chip implement some algorithm, if it makes economic sense to do so. From hard drive controllers to Google's TPU.
by dom0 10y ago
It's almost always better to have a dedicated chip implement some algorithm, if it makes economic sense to do so. From hard drive controllers to Google's TPU.
- deepnotderp 10y agoDeep learning processor != an ASIC If you burned an ASIC for a single type of network architecture, then that would be something else.
- CalChris 10y agoThe TPU is an ASIC. The result is called a Tensor Processing Unit (TPU), a custom ASIC we built specifically for machine learning. https://cloudplatform.googleblog.com/2016/05/Google-supercharges-machine-learning-tasks-with-custom-chip.html https://cloudplatform.googleblog.com/2016/05/Google-supercha...
- deepnotderp 10y agoPerhaps it's a confusion of terminology, because most people I know would call it as asip. It has the flexibility to implement any linear operation after all.