tiger_eye

104 ms·

1. 1.▲
   by tiger_eye 4y ago

   Great talk! This slide shows some speedups when using the GraphBLAS [1] backend [2]: https://i.postimg.cc/mr3mkKtx/100x-Faster-Network-X.png [1] https://github.com/python-graphblas/python-graphblas
2. 2.▲
   by tiger_eye 4y ago

   To learn the latest about GraphBLAS, join the free online GraphBLAS session at HPEC next Tuesday: https://graphblas.org/hpec_bof.html https://ieee-hpec.org/ Also, these are probably better intro pages to
3. 3.▲
   by tiger_eye 4y ago

   GraphBLAS is underrated and underused IMHO. If you use e.g. scipy.sparse, NetworkX, or similar, you should check out GraphBLAS. It is really fast even compared to scipy.sparse, and more capable in many ways. They've actually started