-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathindex.html
129 lines (126 loc) · 5.57 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<meta http-equiv="x-ua-compatible" content="ie=edge">
<link href="main.css" rel="stylesheet">
<title>
Julia Paris Meetup
</title>
</head>
<body>
<div id="site">
<div class="title">
<img width="400" alt="Julia Paris Meetup" src="paris-meetup.svg"/>
</div>
<div>
<br>
<br>
<p>
Welcome to the official page of Julia Paris Meetup!
This meetup aims at promoting the <a href="https://julialang.org">Julia</a> programming language in Paris, France.
<br>
<br>
All people are welcome!
</div>
</br>
<hr>
<h3> Next meetup </h3>
<div>
<table><tbody>
<tr><th><b>03.12.2019</br></th>
<td>
<b>Location:</b> <a href=https://quantstack.net/index.html>Artelys</a> (81 rue Saint Lazare, 75009, Paris)</br>
<i>
Please fill-in <a href="https://docs.google.com/forms/d/e/1FAIpQLSeHt3aB81E8qAFVuR6wo8YejLSPjGjW_q_qWveQ9-d5xom0SQ/viewform?vc=0&c=0&w=1">this form</a> to register to the event.
</i></br>
<b>Schedule:</b> 19h </br>
<b>Topics:</b>
<p>
<a href="https://www.mpq.univ-paris-diderot.fr/?Nouvelle-traduction-1510-Filippo-Vicentini">Filippo</a> will give a talk.
</p>
</td>
</tr>
</tbody></table>
</div>
</br>
<hr>
<h3> Past meetups </h3>
<div>
<table><tbody>
<tr><th><b>17.10.2019</br></th>
<td>
<b>Location:</b> <a href=https://quantstack.net/index.html>QuantStack</a> (27 Rue du Chemin Vert 75011, Paris)</br>
<b>Schedule:</b> 19h </br>
<b>Topics:</b>
<p>
<a href="https://github.com/mfherbst">Michael</a> gave a talk
about <i>"Electronic-structure simulations using Julia"</i>.
<div class="summary">
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 <a href="https://github.com/mfherbst/DFTK.jl"
style="font-family:monospace">DFTK.jl</a> 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.
</div>
<div class="slides">
<a href="slides/2019.10.17_DFTK_MichaelHerbst.pdf"
target="_blank"></a>
</div>
</p>
<p>
<a href="https://github.com/ffevotte">François</a> gave a
talk about <i>"Accurate and Efficiently Vectorized Sums and Dot
Products in Julia"</i>.
<div class="summary">
This talk will present how basic algorithmic blocks such as
sums or dot products can be implemented in Julia (and have
been developed
in <a href="https://github.com/JuliaMath/AccurateArithmetic.jl"
style="font-family:monospace">AccurateArithmetic.jl</a>) 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.
</div>
<div class="slides">
<a href="slides/2019.10.17_AccurateArithmetic_FrancoisFevotte.pdf"
target="_blank"></a>
</div>
</p>
</td>
</tr>
</tbody></table>
</div>
<hr>
<div id="sponsors">
<h3>Sponsors</h3>
<a href="https://quantstack.net/"><img alt="QuantStack" src="https://quantstack.net/img/logo.svg"></a>
<a href="https://triscale-innov.com/"><img alt="TriScale innov" src="https://triscale-innov.com/images/triscale_couleur.png"></a>
</div>
</div>
</body>
</html>