ViralBShah

11 ms·

61.
GPU-Accelerated Ode Solving in R with Julia, the Language of Libraries(stochasticlifestyle.com)
3 points by ViralBShah 6y ago|0 comments
62.
Multiple GPU support in Julia arrives in CUDA.jl v1.3(juliagpu.org)
3 points by ViralBShah 6y ago|0 comments
63.
by ViralBShah 6y ago
I think Chris Rackauckas answers "Why Julia" below in https://news.ycombinator.com/item?id=24132382 This is a very clear case of a well-defined application. The field of pharma needs a combination of mechanistic m
64.
by ViralBShah 6y ago
Do see: https://www.fda.gov/science-research/science-and-research-sp...
65.
by ViralBShah 6y ago
That might be true about some pharma software, but that does not mean there's no appetite for innovation. A lot of the computational work is done with decades old Fortran libraries, plugged into R (yup, no Python in this world) and spr
66.
by ViralBShah 6y ago
For those who want to jump into the details: Docs: https://docs.pumas.ai/ Tutorials: https://tutorials.pumas.ai/
67.
by ViralBShah 6y ago
Here's the stream from the event today, which talks more about what we released, and where it is going, with demos etc. https://www.youtube.com/watch?v=XW6PFyk6l_s
68.
by ViralBShah 6y ago
Schrodinger is actually in the space of using quantum chemistry simulations (and molecular simulations) to prepare targets - new molecules for pharma companies as the basis of new drugs. Pumas is at the other end - modelling and simulation
69.
JuliaCon 2020 Wrap-Up(julialang.org)
4 points by ViralBShah 6y ago|0 comments
70.
JuliaCon 2020 was awesome! The virtual experience is better than physical(ahsmart.com)
5 points by ViralBShah 6y ago|0 comments
71.
by ViralBShah 6y ago
Knet.jl is pretty awesome. The main challenge has been compiling its cuda kernel library. Deniz has helped anyone who ran into issues. However, we are integrating a lot of the underlying infrastructure to the point that both Knet and Flux w
72.
by ViralBShah 6y ago
ArchGDAL.jl is great. We just added it to Circuitscape.jl too - a conservation ecology package.
73.
by ViralBShah 6y ago
What's the application? Would love to read more if there is a paper. The Julia Lab folks at MIT are collecting big parallel applications for pushing parallelism in Julia further.
74.
by ViralBShah 6y ago
See the data science course by Huda Nassar on JuliaAcademy.com.
75.
by ViralBShah 6y ago
Julia can already do this in its `remotecall` API (actually has done this since v0.1), which serializes a closure and sends it to a remote node for computing. https://docs.julialang.org/en/v1/manual/distribute
76.
by ViralBShah 6y ago
The FFTW package is no longer included in the stdlib. The only GPL dependency that is shipped in there is SuiteSparse.
77.
by ViralBShah 6y ago
Flux already has the ability to borrow Torch kernels. This was released fairly recently. https://github.com/FluxML/Torch.jl https://fluxml.ai/2020/06/29/acclerating-flux-torch.html Also
78.
by ViralBShah 6y ago
We did have this once upon a time, going from Julia->LLVM->C using the llvm-cbe project ( https://github.com/JuliaComputing/llvm-cbe ). It is not supported any more, since there are easier ways to achieve what you
79.
by ViralBShah 6y ago
We are always working on streamlining PackageCompiler.jl and building binaries. Bug reports always appreciated. I'm curious to understand why the 130MB is prohibitive. Are you looking at embedded or resource constrained environments?
80.
by ViralBShah 6y ago
That's a great example. Also, JuliaBox.com (discontinued service) ran on Julia in production for 3 years, and has now been replaced by JuliaHub.com, which is also largely written in Julia. Several Julia Computing customers also run lon
81.
by ViralBShah 6y ago
People often ask me for examples of non-scientific Julia codebases. My favourite one is Franklin.jl ( https://franklinjl.org ), a static site generator. This blog discusses quite a bit more, and it doesn't even talk about all
82.
JuliaCon2020: Julia Is Production Ready(bkamins.github.io)
194 points by ViralBShah 6y ago|120 comments
83.
by ViralBShah 6y ago
One of the things that the 1.5 release notes does not mention is the huge amount of progress on the Julia GPU compiler. This doesn't get included in the language release notes because the GPU compilation capabilities are provided as a
84.
JuliaCon 2020 is live and is free(medium.com)
12 points by ViralBShah 6y ago|0 comments
85.
by ViralBShah 6y ago
You smell wrong.
86.
by ViralBShah 6y ago
Julia packages are github repos, where all we get are the traffic stats for the last 2 weeks for clones. It doesn't even provide the number of downloads of released software (the tarballs), or even basic stats that you could get from w
87.
Build native binaries for 13 platforms in minutes. See how(binarybuilder.org)
5 points by ViralBShah 6y ago|0 comments
88.
by ViralBShah 6y ago
While some may be addressed and others are being addressed, what would really help us if people file issues when they don't find performance to be adequate. If you still have the code handy, please do open some issues.
89.
by ViralBShah 6y ago
That is a pretty fun architecture. I hope that opens the door to higher performance for more workloads than top500. At least with the top500 benchmark, the bandwidth is not a problem, so long as you can do a large enough problem. Since it i
90.
by ViralBShah 6y ago
That's pretty cool! That probably means that applications will have an easier time. Looks like it has 512-bit SIMD. I wonder what BLAS they are using, and if the contributions are open sourced.

More ›