ViralBShah

14 ms·

91.
by ViralBShah 6y ago
Given that today's HPC architectures are mostly power constrained, and a majority of the FLOPS often come from GPUs (for their flop/watt ratios), this direction is not surprising. ARM has been making major strides in the high perf
92.
by ViralBShah 6y ago
I was going through this project over the weekend. And while I can't recall where exactly in the docs I read this, I am quite sure the author mentioned that there are various python projects but they are quite slow. Other implementatio
93.
by ViralBShah 6y ago
Given the huge level of interest in the online event this year, I am quite sure that we'll try to have more of an online component going forward, even as we move to physical events.
94.
by ViralBShah 6y ago
I learnt about Zipline in a talk at JuliaCon by Tucker McClure who spoke about how they use Julia for designing and tuning their aircraft. Had the great fortune of spending an evening at the conference to learn more about the company itself
95.
by ViralBShah 6y ago
Yes. Some people think this is a gimmick. But it is actually quite a bit useful. Especially, when in the middle of a session, I often do not want to move my hands from the keyboard to the mouse to close windows that plotting tools open, or
96.
Toyfhe.jl – A toy implementation of FHE algorithms(github.com)
4 points by ViralBShah 6y ago|0 comments
97.
Iterate on It(mikeinnes.github.io)
1 points by ViralBShah 6y ago|0 comments
98.
by ViralBShah 6y ago
Which version of Julia are you using? My main point was that while half a second (~0.5s) is perceptible startup time, ~0.1s is not. Is it a much older system than mine? I have a 2.3GHz Core i5 from about 2017.
99.
by ViralBShah 6y ago
This is simply not true. I have a 3 year old mac, and this is doing simple arithmetic (including starting and exiting Julia). 0.14 seconds user time. $ time ~/Desktop/Julia_Releases/Julia-1.4.app/Contents/Resour
100.
Julialang Antipatterns(white.ucc.asn.au)
87 points by ViralBShah 6y ago|8 comments
101.
by ViralBShah 6y ago
As walnuss says below, these things are already being worked on. If you tried Julia a few months or couple of years ago, you'll find that stacktraces have already got quite a lot better. One of the things that the Julia community could
102.
Machine Learning aided Epidemiology: Covid-19 Global quarantine strength(covid19ml.org)
2 points by ViralBShah 6y ago|0 comments
103.
BinaryBuilder: Build native binaries for 13 platforms in minutes(binarybuilder.org)
11 points by ViralBShah 6y ago|0 comments
104.
MIT Computational thinking class enables students to engage in Covid-19 response(news.mit.edu)
2 points by ViralBShah 7y ago|0 comments
105.
Covid-19 in Denmark – An epidemic in a small country(doktormike.gitlab.io)
5 points by ViralBShah 7y ago|0 comments
106.
CUDAnative 3.0 and CuArrays 2.0: Major updates to Julia's GPU ecosystem(juliagpu.org)
8 points by ViralBShah 7y ago|1 comments
107.
by ViralBShah 7y ago
We certainly are grateful to Nat Friedman for stepping in and fixing this. We have been aware of the centralization issue generally, and in fact just this weekend, we released Julia 1.4, which has redesigned the internals of the package man
108.
by ViralBShah 7y ago
Glad to hear that the LTS version did not have an issue. I hope you did file an issue with the Plots package. The reason is that we generally like to make sure that regressions like these are not language level regressions. Sometimes packag
109.
by ViralBShah 7y ago
I'm having a hard time trying to follow your argument. You seem to have had some issues with Julia, and I would like to take those issues at face value. It would be nice if you could point to specific issues since we always like to fix
110.
by ViralBShah 7y ago
Sorry to hear that. I do hope you filed issues or chimed in on existing issues. On deep learning, Flux has a different flexible approach. This is great for certain people. For people who want a library of existing models, Julia can already
111.
by ViralBShah 7y ago
The 0.7 to 1.0 was a planned move that was communicated for over a year. If anything, the 1.0 transition went very smoothly and the Julia community grew significantly soon after its release. All the download and community stats broadly demo
112.
by ViralBShah 7y ago
Providing a well functioning BLAS experience in a language is a non-trivial task. Saying "just use lib" seems to severely understate this. How many go or swift or Nim issues discuss matmul vs the Julia repo?
113.
Automatic Differentiation Meets Conventional Machine Learning(juliacomputing.com)
4 points by ViralBShah 7y ago|0 comments
114.
by ViralBShah 7y ago
While I don't agree with many of these points, I do agree that some of these can be substantially improved. We continue to work hard at it. Some are research problems, while others need elbow grease. Just to present the other side, her
115.
by ViralBShah 7y ago
This visualization of dependencies among Julia packages in this twitter thread by cormullion shows it pretty well. https://twitter.com/_cormullion/status/1224640188518932483
116.
New Threading Capabilities in Julia v1.3 – Unleashing the Power of Modern CPUs(techdecoded.intel.io)
8 points by ViralBShah 7y ago|0 comments
117.
On the performance and design of Julia BioSequences compared to the Seq language(biojulia.net)
15 points by ViralBShah 7y ago|0 comments
118.
by ViralBShah 7y ago
Out of curiosity, how would you know that the community is large enough, or committed enough? For example, while Julia has been in development for almost 10 years, a lot of the community has now been around for 5 years. There's about 2
119.
by ViralBShah 7y ago
I am happy to share my perspective on this. I feel a really good blog on this topic is Bret Victor's blog post - What can a technologist do about climate change? http://worrydream.com/ClimateChange/ One of the cle
120.
Alan Edelman's keynote on parallel computing at Supercomputing 2019(youtube.com)
1 points by ViralBShah 7y ago|0 comments

More ›