Julia Paris Meetup

Welcome to the official page of Julia Paris Meetup! This meetup aims at promoting the Julia programming language in Paris, France.

All people welcome!

First meetup expected soon!

Location: QuantStack (27 Rue du Chemin Vert 75011, Paris)
Please fill-in this form to register to the event.
Schedule: 19h

Michael will give a talk about "Electronic-structure simulations using Julia".

Computational studies of electronic structures, that is the modelling of electrons in materials and chemical compounds, is now a standard procedure in industry and research and crucial for progress in material science, chemical manufacturing or pharmacy. Recently we have developed the DFTK.jl package, a Julia implementation of plane-wave density-functional theory, one common simulation method in the field. This talk will focus on the rationale for employing Julia for this task and illustrates our design within the Julia ecosystem. It will discuss the suitability of Julia for this interdisciplinary research field and our strategy to integrate with interesting Julia developments such as automatic differentiation, GPU acceleration and deviating numerical precision.

Fran├žois will give a talk about "Accurate and Efficiently Vectorized Sums and Dot Products in Julia".

This talk will present how basic algorithmic blocks such as sums or dot products can be implemented in Julia (and have been developed in AccurateArithmetic.jl) in a way that is both accurate and efficient. Besides naive algorithms, compensated algorithms are implemented, which effectively double the working precision, producing much more accurate results while incurring little to no overhead, especially for large input vectors. Although the vectorization of such algorithms is no particularly simple task, Julia makes it relatively easy and straightforward. This talk will illustrate how Julia can help efficiently mix Floating-Point-related concerns with SIMD-related constraints in order to get the performance of double-precision state-of-the-art BLAS libraries and the accuracy of quadruple-precision algorithms.


QuantStack TriScale innov