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Julia Computing raises $24M Series A

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Re: Julia Computing raises $24M Series A

#181

Post by borodi »

aazaa wrote: post #173

> Julia Computing, founded by the creators of the Julia high-performance programming language, today announced the completion of a $24M Series A fundraising round led by Dorilton Ventures, with participation from Menlo Ventures, General Catalyst, and HighSage Ventures. ... What products/services does Julia Computing sell to justify that Series A? The article doesn't mention anything. Although the company website list…

Check some replies by Keno in thread, he goes a bit deeper into their business model

Re: Julia Computing raises $24M Series A

#183

Post by aazaa »

mbauman wrote: post #180
aazaa wrote: post #173

> Julia Computing, founded by the creators of the Julia high-performance programming language, today announced the completion of a $24M Series A fundraising round led by Dorilton Ventures, with participation from Menlo Ventures, General Catalyst, and HighSage Ventures. ... What products/services does Julia Computing sell to justify that Series A? The article doesn't mention anything. Although the company website list…

> What products/services does Julia Computing sell to justify that Series A? The article doesn't mention anything. That's the entire second paragraph of the article. JuliaHub is a paid cloud computing service for running Julia code and JuliaSim/JuliaSPICE/Pumas are paid domain-specific modeling and simulation products. See also some of the other comments here from Keno[1] and Chris Rackauckas[2]: 1. https://news.ycom…

I'm equating "product" with "revenue-generating product." A bit presumptuous, I know, (the objective of a company is to make money from those who buy its products and services, where products and services are something other than shares) but the article doesn't mention any source of revenue for the company.

Re: Julia Computing raises $24M Series A

#185

Post by f6v »

jakobnissen wrote: post #151
f6v wrote: post #111

Earlier quoted context omitted.

The majority of researchers don’t care about the language superiority. They’re concerned with different issues and software tends to suffer from “publish and forget” attitude. Convenience matters, and R ecosystem is quite good.

As a scientist programmer, that has not been my experience. In my experience, science programming is characterized by having to implement a lot of stuff from the ground up yourself, because unlike web dev or containerization, it's unlikely there is any existing library for metagenomic analysis of modified RNA. And here Julia is a complete Godsend, since it makes it a joy to implement things from the bottom up. Sure,…

> In my experience, science programming is characterized by having to implement a lot of stuff from the ground up yourself

It depends on the field, there’re hundreds of biological publications each month that just use existing software. And if I’m developing a new tool for single-cell analysis, it’s either going to be interoperable with Seurat or Bioconductor tools.

Re: Julia Computing raises $24M Series A

#186

Post by f6v »

spywaregorilla wrote: post #121
f6v wrote: post #107

Earlier quoted context omitted.

You can write fast software with R, you just need to know how. The same applies to Julia - not everyone knows how to develop high-performance code.

> You can write fast software with R, you just need to know how. When the trick to writing fast R code is to rely on C as much as possible, that feels less compelling.

You’d be surprised how many people don’t know that a for loop isn’t great compared to vectorizing. The same for Julia, few will know that types have an impact on speed. My point is that you won’t automatically write faster code.

Re: Julia Computing raises $24M Series A

#187

Post by maybelsyrup »

helmholtz wrote: post #177
mint2 wrote: post #158

Earlier quoted context omitted.

Matlab, the SAS of academia and certain engineering fields.

I won't hear of it. Matlab is great. Superb at manipulating matrices, great for getting started with differential equations, world-class plotting library, and massively forgiving. All the things a computational engineer like me needs. I would never use it for producing software meant for distribution, but people mainly hate on it because it's 'cool', without realising that it excels at what it does. I fucking love ma…

I know little about Matlab, but I know a lot about SAS, where it's the default analytical environment in public health practice and research. SAS is trash, and a ripoff to boot. R has made good inroads, giving SAS a tiny bit of pressure, but frankly it needs more. Bring on Julia! And python and anything else.

Re: Julia Computing raises $24M Series A

#188

Post by enriquto »

oscardssmith wrote: post #166
enriquto wrote: post #153

Earlier quoted context omitted.

can you show a simple example of that? I tend to see multiple dispatch as a mental burden, (e.g.: when I see a function call, where will it be dispatched? the answer dependa on the types that I'm juggling, that may not even be visible at that point...)

The key to make multiple dispatch work well is that you shouldn't have to think about what method gets called. For this to work out, you need to make sure that you only add a method to a function if it does the "same thing" (so don't use >> for printing for example). To Dr the benefit of this in action, consider that in Julia 1im+2//3 (the syntax for sqrt(-1)+2 thirds) works and gives you a complex rational number (2…

> make sure that you only add a method to a function if it does the "same thing"

But this only concerns when I'm writing the code myself. If I read some code and I see a few nested function calls, there's a combinatorial explosion of possible types that gives me vertigo.

> complex and rational numbers can be constructed using anything that has arithmetic defined.

seriously? this does not seem right, it cannot be like that. If I build a complex number out of complex numbers, I expect a regular complex number, not a "doubly complex" number with complex coefficients, akin to a quaternion. Or do you? There is surely some hidden dirty magic to avoid that case.

Re: Julia Computing raises $24M Series A

#189

Post by mbauman »

aazaa wrote: post #183
mbauman wrote: post #180

Earlier quoted context omitted.

> What products/services does Julia Computing sell to justify that Series A? The article doesn't mention anything. That's the entire second paragraph of the article. JuliaHub is a paid cloud computing service for running Julia code and JuliaSim/JuliaSPICE/Pumas are paid domain-specific modeling and simulation products. See also some of the other comments here from Keno[1] and Chris Rackauckas[2]: 1. https://news.ycom…

I'm equating "product" with "revenue-generating product." A bit presumptuous, I know, (the objective of a company is to make money from those who buy its products and services, where products and services are something other than shares) but the article doesn't mention any source of revenue for the company.

Yes, that's what I figured you meant, and that's precisely what that paragraph and my comment above detail. You can enter a credit card into JuliaHub and start running large scale distributed compute on CPUs and GPUs right now. Or you can email us about procuring an enterprise version for your whole team and/or licensing JuliaSim or Pumas.

Re: Julia Computing raises $24M Series A

#190

Post by jcuenod »

wickedsickeune wrote: post #178
mint2 wrote: post #158

Earlier quoted context omitted.

Matlab, the SAS of academia and certain engineering fields.

I guess you mean SAP?

Had the same thought but I think SAS is correct: Statistical Analysis System (https://www.sas.com/en_us/company-information/profile.html)?
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