Watch Hypernet Labs CTO Todd Chapman and data scientist Matthew Gasperetti run the same R script on a brand new 8-core i9 with 32 gb of ram and then on a Galileo-enhanced Raspberry Pi. Here are the runtime results (spoiler alert): 1 minute 16 seconds on the i9 30 seconds on the Raspberry Pi How? And why? In a world of supercomputers andhttps://hypernetlabs.io/wp-content/themes/salient.
The increasingly popular programming language Julia was built with big data projects in mind. These projects imply either very long runtimes or access to compute power that will allow you to cut that down. Luckily, Julia has certain built-in advantages for distributed computing as well as remote deployment, and there is now a native app—Galileo—that will allow you to quickly and easily drag and drop your Julia code to run elsewhere. This is the fastest, easiest, anhttps://hypernetlabs.io/wp-content/themes/salient.