Text Mining: Detect Strings: Word Lookup in a Large Corpus of Phrases Using a Large Dictionary

[lawless-m]

The Julia version on your M1 Pro might be even quicker than my creaky old Xeon

We’ve seen benchmarks where the M1 is 2x-3x faster, even using all my 40 cores vs M1’s 8 cores

JuMP.jl and DifferentialEquation.jl benchmarks on M1 Max Julia 1.7.0 x89 vs ARM. (spoiler: ARM is 1.5-2x faster)

Impressive! And then there’s also this accelerator (Apple M1 GPU from Julia?) that can further speed up linear algebra at least 4x on my machine (see code below). Would be interesting to see if Apple Silicon processors will start to get used in HPC clusters as some points. Historically, Apple didn’t seem to be interested in this but who knows. Presumably, there’re applications where you can use multicore computation instead of single core or multithreading where 40 core Intel(R) Xeon(R) will o…

Julia Version 1.7.0
Commit 3bf9d17731 (2021-11-30 12:12 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
  CPU: Intel(R) Xeon(R) CPU E5-2660 v3 @ 2.60GHz