4 ms·

This thing needs a GraphBLAS[1] implementation yesterday. 100 billion edge graphs and up are the new norm. This monster could smoke the competition if the impl

• blueyes 5y ago
  Creating the ecosystem of both software and adjacent hardware for wafers this size is the real challenge for a company like Cerebras (which is doing amazing work). At first, they thought they just needed to make a chip 56x the size of its predecessor, and somehow get around the issue of defects and yield. After they solved those problems (which blocked Gene Amdahl, among others), they found they needed to bring an entire ecosystem into being to work with their hardware.
  • michelpp 5y ago
    Agreed, that's why I think the GraphBLAS would be such a great fit for this hardware. The ecosystem is growing pretty fast. There are, for example Python bindings, you can do sparse 'A @ B' on millions of elements in parallel with this wafer-chip. MATLAB 2021a now has GraphBLAS built in, you could drive this thing directly from your notebooks. I'm sure there's a compiler and low level primitives to really get the maximum performance out of it, but the trade-off maybe worth it in many cases to do it using an abstraction like the linear algebra approach.