Re:Graph Processing on FPGAs: Taxonomy, Survey, Challenges
by banjo_milkman on Monday June 10, 2019 @12:49AM
(#20143985)
Back when chip costs were reasonable, custom chips would always beat FPGAs and were an easy option for many applications but I think things have changed somewhat in the last few years with the decline of Moore's law. Now there are fewer and fewer companies that can afford to develop custom chips at leading technology nodes. Some estimates are it costs $100m to get a custom chip into product at 7nm. The volumes just aren't there for many applications to justify a custom chip, it doesn't make sense unless the market is huge and the algorithms are static. FPGAs work well in these cases. Have you seen Microsoft Brainwave? https://www.microsoft.com/en-us/research/project/project-bra...
Re:Graph Processing on FPGAs: Taxonomy, Survey, Challenges
by nl on Monday June 10, 2019 @06:26AM
(#20145358)
This is true, but:
a) most applications don't need 7nm. S3 will do a custom ASIC for under $2M[1], and I've heard figures as low as $100K for a FPGA for ASIC conversion.
b) General purpose embedded CPUs with extended instruction sets are often fast enough for most purposes.
[1] https://www.s3semi.com/wp-content/uploads/2018/06/S3semi_sil...
Re:Graph Processing on FPGAs: Taxonomy, Survey, Challenges
by alain94040 on Monday June 10, 2019 @01:00PM
(#20148530)
We agree, which is why I prefaced my statement with if volume is high enough. Just how high for 7nm is left as an exercise to the reader :-)
In other words, the overhead of the re-configurable aspect of FPGA is just too high.