↳ Chilly

Optimize Linear Algebra Calculations with Native Libraries


Building large-scale machine-learning systems often involves a massive execution of linear algebra calculation under the hood. Whether you use Spark, R, or even plain old MapReduce code written in Java, you might end up doing some operation on a big matrix/vector. And those operations can be done 5x-7x faster!

Having designed and implemented large-scale machine-learning based systems, I found out there are great alternatives to the default linear algebra libraries of whatever environments in use.

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