As we know, there are so many versions of Julia available. I downloaded three of them, and compared the speed of my code using them. I have used the “@profile” macro to find the hotspots, it showed that most of the cpu time was spend on operations like @. a = b * c plan_fft! * a plan_fft! \ a The result showed that the speed of the three Julia version is about (0.6.1 stable) : (juliapro 0.6.1.1) : (0.7-DEV.2158) = 1 : 1: 1.3 That is amazing progress if my bechmark is meaningful. My question is, what makes the difference? Are some new features introduced in v0.7? Is the difference in performance just because the stable version like v0.6 just throw away some optimization strategies for stability?

NEWS.md should probably mention the highlights.

[image] 111: As we know, there are so many versions of Julia available. Practically, there is just a stable version (v0.6.1), and a version in development that will become v0.7 at some point.

Why is v0.7 faster?

General Usage

fabiangans November 22, 2017, 12:19pm 2

This thread Fantastic progress in master branch! discusses the advances in v0.7 in depth.

Topic		Replies	Views
Benchmark different Julia versions? General Usage question	0	410	September 8, 2017
Array performance Julia 0.6 vs 0.5 Performance	11	1980	March 19, 2018
Returning programmer asking for advice New to Julia	23	3298	April 14, 2018
What is Julia 0.7? How does it relate to 1.0? Internals & Design	6	9030	June 17, 2018
Fantastic progress in master branch! Internals & Design	36	9707	June 20, 2018

Why is v0.7 faster?

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