Submitted by Open-Dragonfly6825 t3_10s3u1s in deeplearning
Open-Dragonfly6825 OP t1_j72qtao wrote
Reply to comment by yannbouteiller in Why are FPGAs better than GPUs for deep learning? by Open-Dragonfly6825
That actually makes sense. FPGAs are very complex to program, even though the gap between software and hardware programming has been narrowed with High Level Synthesis (e.g. OpenCL). I can see how it is just easier to use a GPU that is simpler to program, or a TPU that already has compatible libraries built for that abstract the low level details.
However, FPGAs have been increasing in area and available resources in recent years. It is still not enough circuitry?
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