"COLD: Boosting your Workflow and Performances with Scilab" By Béatrice Creusillet, Silkan for ScilabTEC 2015

1. COLDTM: High Performance with Scilab
Boosting your workflow – Boosting your Performances
Béatrice
Creusillet
&
Thomas
Izard
ScilabTec
2015,
Paris

2. 2 - ScilabTec 2015
Development
workflow

3. 3 - ScilabTec 2015
Development
workflow

4. 4 - ScilabTec 2015
Development
workflow

5. 5 - ScilabTec 2015
From
code
to
binaries
or
libraries

6. 6 - ScilabTec 2015
▶ CFD
applicaAon
based
on
LaDce
Boltzmann
method1
▶ IniAalizaAon
step:
cfd_init.sce
▶ Time
loop:
– computaAon
kernel:
cfd_iteraAon.sce
– visualizaAon
– 10000
cycles
(400000
originally)
1
From
wiki.palabos.org/numerics:codes
Copyright
©
2006-­‐2008
by
Jonas
LaW
A
prac7cal
case

7. 7 - ScilabTec 2015
Performances
Scilab
Scilab
+
COLD
(kernel)
Scilab
+
COLD
(main
script)
COLD
(executable)
average
kernel
duraAon
390
ms
24
ms
12
ms
12
ms
total
Ame
for
10000
cycles
1
h
3
min
39
s
1
min
56
s
1
min
52
s
speed-­‐up
x
16
x
31
x
32
Experimental
condiAons:
• Intel
Core
i7-­‐3770
@
3.40GHz,
16Go,
Ubuntu
14.04
• Scilab
5.5.2,
COLD
2.1,
gcc
4.8.2

8. 8 - ScilabTec 2015
Some
more
performances…
▶ Series
of
benchmarks
from
an
industrial
partner
(Richelieu
Project)
▶ Raw
code,
no
calls
to
Scilab
library
funcAons
or
vector
operaAons
Scilab
5.4.1
COLDTM
1.6.3
Speed-­‐up
Mat_mul
(100)
Mat_vec_mul
(1000)
Mat_mul2
(100)
2.38
s
2.13
s
2.08
s
0.0011
s
0.0016
s
0.0016
s
x2000
x1300
x1300
Mymesh
Skyline
Matrice
0.64
s
14.55
s
11.96
s
0.0014
s
0.035
s
0.054
s
x450
x400
x200
Mymesh
triangular
mesh
generaAon
Skyline
morse
matrix
indexing
building
Matrice
morse
matrix
building

9. 9 - ScilabTec 2015
COLD:
a
Scilab-­‐to-­‐C++
compiler
Inputs
▶ Scripts
and/or
funcAons
▶ Large
subset
of
language
basics
– scalar
types
(int,
real,
complex),
N-­‐D
arrays,
sparse
matrices,
structures
– all
control
flow
structures
– user
funcAons…
▶ Large
subset
of
Scilab
funcAons
(>
200)
Outputs
▶ C++11
high-­‐performance
code
▶ Standalone
executables
from
scripts
▶ Scilab
libraries
▶ Libraries
with
specific
interfaces
(for
integraAon
in
user
libraries)
▶ Human-­‐readable
or
obfuscated
code

10. 10 - ScilabTec 2015
COLD:
specific
features
High-­‐performance
C++
code
▶ Strong
type
inference
mechanism:
no
dynamic
run-­‐Ame
overhead
▶ CompilaAon
opAmizaAons
▶ MathemaAcal
opAmizaAons
▶ ParallelizaAon
▶ Extends
input
data-­‐size
/
parameter
values
coverage
User
friendliness
▶ Windows
/
Linux
▶ Compliance
analysis
to
detect
unsupported
features
and
opAmizaAon
obstacles
▶ Fast
compilaAon
(5000
lines
of
Scilab:
<
0.5s
to
generate
C++
code)

11. 11 - ScilabTec 2015
COLDTM
…
…
generates
high-­‐performance
code
from
Scilab
codes
…
▶ stand-­‐alone
applica7ons
▶ op7mized
libraries,
re-­‐usable
from
Scilab
environment
…
offers
…
▶ reducAon
of
Ame-­‐to-­‐demo
or
Ame-­‐to-­‐product
▶ code
obfuscaAon,
intellectual
property
protec7on
…
evolves
con?nuously
and
benefits
from
…
▶ industrial
partnerships
(real
use-­‐cases)
▶ collaboraAve
research
projects
(FUI
Richelieu,
FUI
Similan,
ITEA2
Mach)
…
is
a
scalable
product
…
▶ on-­‐demand
customiza7on
for
specific
needs
Contact
us
on
cold-­‐support@silkan.com