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From YouTube: NUG Monthly Meeting - March 2023
Description
The NUG Monthly meeting for March 2023 - we looked at NERSC Science Highlights - short vignettes showcasing work done by NERSC users, using NERSC resources - and talked about where to find them and how to submit your own work for inclusion in the collection
A
A
A
That
said,
we
normally
go
for
a
pretty
interactive
format
here
and
we
will
do
the
same
today
and
because
we're
a
reasonably
small
group
I
think
we
can
just
unmute
and
speak
up
when
you
have
something
to
say
we'll
go
through
our
Roi
kind
of
usual.
Pattern
of
you
know
missed
editing,
something
in
the
slide
there
of
a
win
of
the
month.
Today,
I
learned
the
user.
Community
survey
was
a
artifacts
from
last
month's
discussion.
Although.
A
A
And
give
a
shout
out
to
one
that
I
know
happened
and
I
saw
there
was
an
announcement
about
it
in
the
nug
slack
yesterday,
kudos
to
Shazam
Justin
and
a
few
others
for
getting
the
latest
or
nearly
latest
the
the
2211
release
of
the
e4s
stack
deployed
on
Palmetto,
because
it's
it's
quite
a
large
stack
there
are.
There
are
literally
hundreds
of
software
packages
in
it.
A
C
So
hopefully,
you'll
see
more
of
me
during
these
meetings
and
in
the
community
more.
My
focus
is
going
to
be
on
user
community
building
which
you've
been
hearing
a
lot
about,
and
then
also
one
of
the
things
I
want
to
start
working
on.
Is
your
user
onboarding
Rebecca
is
going
to
have
me
start
looking
at
how
users
get
onto
the
system?
How
long
does
it
take
them
to
start
using
the
system
to
you
know,
get
get
set
up,
and
so
so
they
can
be
productive.
C
And
what
are
some
resources
we
can
make
to
to
decrease
the
amount
of
time
that
that
takes
so
if
those
are
any
of
the
things
that
you've
ever
thought
about
or
have
ideas
or
thoughts
on
you're?
More
than
welcome
to
reach
out
to
me,
hopefully,
you'll
see
me
around
more
but
I'm
very
excited
because
I
love
nurse
as
I
started
as
a
user
way
back
in
2019
as
a
physicist,
so
I'm,
not
a
computer
science
person
I'm
a
physicist
by
training,
while
I
was
doing
my
PhD.
C
A
C
A
F
I,
don't
have
not
too
many
wings
of
mass,
because
I'm
trying
to
still
compile
you
know
different
models
on
Parramatta,
but
thanks
to
previous,
whenever
I
get
a
problem
just
throw
in
the
Kombat
mismatch
standard,
Legacy
yeah
and
it
works.
So
that's
quite
smooth
last
few
weeks
for
me
and
IO
again,
just
incredibly
fast.
It's
really
helpful.
F
A
Yeah,
so
actually
that
seems
a
really
good
segue
into
today
I
learned
because
there
was
a
couple
of
tips
there.
So
in
a
way
this
is.
This
is
partly
the
flip
side
of
the
the
win
of
the
month,
which
is
that
not
everything
goes
smoothly
all
the
time,
but
when
things
don't
go
smoothly,
generally
there's
something
to
be
learned
out
of
it
and-
and
you
know
that's
kind
of
what
science
and
research
is
about,
getting
things
wrong
until
we've
only
understand
things
well
enough
to
get
them
right.
A
And
and
I
guess
that
a
Corolla,
Corollary,
yeah
bad
pronunciation
to
to
you
know
discovering
things.
The
hard
way
is
also
stumbling
across
interesting
information
and
Coach.
You
mentioned
one
there,
which
I
think
we
now
have
in
the
in
the
docs
page
a
tip
about
it,
but
the
Fortran.
Sorry,
the
yeah,
the
gnu
fortrain
compiler,
has
a
flag,
Dash
f.
Allow
argument
mismatch
if
I
remember
correctly,
and
that
makes
a
big
difference
when
you're
compiling
it.
A
It's
quite
useful
for
even
things
like
MPI,
where
you
know,
potentially
the
same
call
can
be
done
with
different
types
of
arguments.
Depending
on
whether
you're
passing
you
know
your
your
message
is
going
to
be
integers
or
reels
or
whatever
else,
and
a
very
strict
Fortran
implementation
such
as
canoe
Fortran,
we'll
complain
about
that.
So,
if
allow
argument
mismatch,
loosens
the
rules
a
little
bit
on
that
and
the
other
one
you
mentioned,
Gucci
was
the
performance
of
scratch
and
yeah.
That's
really
good
to
hear
that
it's
it's!
A
B
E
E
Because
it
may
be
calling
other
code
that
works
just
fine
under
under
parallel
on
the
CPU,
but
your
compiler
may
not
know
that
it
needs
to
compile
that
other
code
to
also
run
on
a
GPU
and
exactly
how
to
do
all
the
memory.
Mapping
and
things
like
that.
So
so,
just
if
you,
if
you're
thinking,
hey
I've,
got
these
parallel
for
parallel
four
or
do
loops
if
I
throw
if
I
throw
a
Target
on
it,
it
should
just
go
over
to
the
GPU.
That's
not
always
the
case.
F
That's
the
exactly
the
reason
sorry
I
I
gave
up.
Yes,
I
have
one
Fortran
code,
the
only
partition
it's
using
is
just
Auto,
MP
Ultra,
so
I
attended
last
year.
One
of
those
you
know
put
into
Power
model
workshop
and
hey.
Oh,
maybe
I
should
throw
in
the
flag
and
it's
got
around
GPU
and
no
it's
a
it's
only
one.
A
E
E
The
compiler
just
stops
with
an
internal
compiler
error,
and
so
it
took
us
a
little
while
of
like
pulling
some
things
apart
and
then,
eventually,
we
ended
up
with
a
link
time
error,
because
that
code
hadn't
been
compiled
for
a
GPU,
so
that
version
of
the
procedure
didn't
exist.
So
it
did
take
some
some
digging
to
kind
of
realize.
That
was
what
was
happening
so
yeah.
A
E
Something
along
those
lines
is
my
sus
is
my
suspicion
because
it
was
all
in
one
file.
So
in
theory
it
can
see
everything.
Oh
yeah
I
need
to
compile
this
for
the
GPU
Etc
and
just
ran
out
of
whatever
it
was
doing
to
do
all
the
analyzes
for
what
needs
to
go
where
when
and
how
to
map
things
over
and
all
that
so
yeah.
That's
that's
my
suspicion.
A
B
Plus,
if
you
have
a
huge
Loop
like
what
koichi
described
earlier,
it
might
run
out
of
variables
based
on
register
space.
If
you
just
blindly
add
OMB,
Target
yeah
I
found
a
new
one
that
by
default
Dash
MP
only
enables
openmb
multi-threading
on
CPU
Dash
MP
equal
GPU
by
default.
Well,
it's
not
the
default,
so
you
have
to
be
explicit
about
the
equal
GPU
to
enable
openmp
Target
offload.
A
B
B
D
A
B
E
Yeah
any
any
internal
compiler
error
is
always
a
bug,
even
if
your
code
was
invalid,
but
I
I
will
I
will
say
that
you
know
the
the
combination
of
optimization
and
debug.
Symbols
is
always
a
tricky
one,
because
the
when
it
inserts
the
debug
symbols
it
may
be
trying
to
do
so
for
code
that
had
already
optimized
away
right.
So
the
the
no.
B
E
D
I
I
do
want
to
push
back
a
little
bit
on
the
statement
that
any
ice.
Sorry,
that's
short
for
internal
compiler
error-
is
always
a
bug
to
report.
If
it's
happening
due
to,
I
o
errors
on
Nurse
scratch
file
system,
then
that's
not
truly
a
compiler
bug.
That's
the
compiler,
just
not
knowing
how
to
deal
with
a
faulty
file
system
so
reporting
those
are
probably
going
to
be
ignored
by
the
vendor.
Don't.
D
In
theory,
in
theory
all
of
their,
I
o
calls
they
should
check,
for
you
know
short
rights
and
and
short
reads
and
error
returns.
That's
not
practical
and
they're
not
going
to
put
effort
into
that.
So
I've
had
plenty
of
you
know
big
compiles
where
there
are
hundreds
of
files
and
such
that
you
know,
I
just
have
to
run
make
five
times
before
it
finally
completes
on
days
when
the
the
scratch
file
system
is
having
a
bad
day.
E
E
E
D
A
A
So
there's
a
few
things
going
on
here
that
are
that
are
worth
sort
of
knowing
about
and
and
this
is
sort
of
all
all
in
the
email.
So
you
can
read
a
little
bit
more
details
there,
but
yesterday,
during
the
afternoon
we
changed
the
setting
to
temporarily
to
disable
a
feature
of
ss11
and
slingshot
11..
That's
the
the
network
that
the
interconnect
the
Palmetto
uses.
A
A
You
know
useful
in
in
into
node
communication,
but
there
is
currently
a
critical
issue
in
there
which
has
been
worked
on
and
that
was
leading
to
some
node
failures.
So
we
have
for
the
moment
disabled
that-
and
there
are
a
couple
of
side
of
effects
that
you
should
see
from
this.
One
is
that
if
you
were
seeing
jobs
failing
with
a
node
fail
status
at
a
particularly
GPU
jobs,
they
may
well
have
been
hitting
this
back,
and
so
this
this
workaround
should
allow
them
to
get
past.
A
That
should
prevent
that
from
happening.
However,
it
does
substantially
affect
performance,
so
you
might
see
that
your
code
that
uses
GPU
your
GPU
aware
MPI
that
sort
of
thing
could
run
significantly
slower,
so
we're
anticipating
that
we'll
be
able
to
remove
this
in
around
about
a
week's
time
at
the
next
week's
maintenance.
A
So
so,
please
don't
be
daunted
by
the
fact
that
performance
on
on
some
jobs
will
be
a
bit
slower,
submit
the
jobs
and
take
advantage
of
the
charging
holiday
and
get
to
help
us
to
shake
out
other
issues
because,
of
course,
we're
quite
Keen
to
get
issues
shaken
out
as
as
soon
as
possible,
so
that
we
can
retire
Corey.
It's
you
know,
reaching
end
of
life
as
well,
and
if
you
do
hit,
you
know,
problems.
Let
us
know
by
opening
a
ticket
before
we
move
on
to.
A
A
If
you
got
that
email
and
then
when
you
log
into
IRS,
you
don't
see
the
dialogue.
We've
had
a
couple
of
examples
of
that
happening
that
there
are
a
couple
of
things
that
could
cause
that.
But
you
know
if
you,
if
you
find
any
difficulty
with
it,
open
a
ticket
so
that
we
can
get.
You
know,
visibility
on
that.
A
The
big
one
is
that
Corey's
retirement
is
approaching
soon,
so
we
talked
about
this
in
in
quite
a
lot
more
depth
in
the
last
month's
user.
Meeting
Corey
basically
reached
end
of
life
in
terms
of
its
components
and
yeah.
Because
of
that
we
need
to
retire
it
and
so
you're
aware
working
pretty
hard
to
get.
A
Part
of
that
we've
had
a
few
office
hours
session,
there's
another
one
coming
up
in
a
couple
of
weeks
time.
We
also
had
a
a
day
of
training,
last
Friday
on
migrating
from
Corey
to
Palmetto,
and
so
this
training
is
actually
recorded
and
available
online.
So
the
the
recordings
and
the
slides
are
available
at
this
web
address,
which
you
can
get
to
by
pointing
your
smartphone
or
or
possibly
a
you
know,
a
desktop
tool
at
this
QR
code,
so
yeah,
if
you're
not
running
on
Pearl
money.
Yet
please
give
it
a
shot.
A
Even
if
your
code
isn't
GPU
ready,
promoter's
got
yeah
over
3000
CPU
only
nodes,
yeah
Each
of
which
is,
you
know,
significantly
more
powerful
than
you
know,
than
a
Corey
K
L,
node
they've
got
I.
Think
the
CPU
only
nodes
have
got
128
cores
each
two:
two
sockets
or
64
cores
and
they're
full
strength
cores.
So
so
they're
like
a
yeah.
A
A
There
is
a
research
software
engineer,
Association
conference
coming
up
at
the
end
of
this
year
in
Chicago
and
submissions
are
open
on
that
there's
web
address
here.
For
it
there
is
a
doe
cross
facility,
workflows,
Workshop
in
just
about
a
month's
time
in
April
I.
Don't
actually
have
a
link
to
to
that.
A
Maybe
check
check
the
weekly
email,
I.
Think
there's
a
little
more
information
about
that
in
there
also
nurse
is
hiring.
We
have.
We
have
great
news,
but
we've
filled
one
of
our
positions
being
sliffy,
but
we
have
quite
a
few
other
positions
that
we're
looking
to
hire.
So
you
know,
we've
found
that
nurse
users
tend
to
make
great
nurse
staff
as
well
so
yeah
take
care.
Take
a
look,
there's
a
link
here
and
we'll
post
these
slides
on
the
midi
notes
afterwards
on
a
meeting
page
afterwards.
So
you
can
just
click.
A
E
So
I
dropped
a
little
bit
of
information
and
some
links
into
the
chat,
but
we're
starting
a
new
Fortran
users
group,
the
Fortran
users
of
nurse
so
fun,
but
the
the
first
event
we've
got
planned
is
for
April
4th.
It's
posted
on
the
nurse
events
calendar
where
we're
just
going
to
kind
of
have
like
a
Fortran
office
hours
and
initial
discussions
about
you
know
what
do
people
want
to
get
out
of
the
group?
E
You
know
that
kind
of
stuff.
So
there's
a
mailing
list,
there's
a
there's
already
a
Fortran
channel
on
the
the
nurse
users
slack
and
I
also
posted
a
form,
a
link
to
a
a
survey.
So
if,
if
anybody's
interested
in
providing
feedback,
that's
another
way
to
do
it
as
well,
and
you
can
always
reach
out
to
me
via
email
directly
or
find
me
on
the
slack
or
the
mailing
list.
Or
what
have
you
feel
free
to
ask
questions
introduce
yourself
and
all
that
fun
stuff.
A
It
sounds
great,
so
that
was
April
4
for
the
office
hours,
yes
and
I,
guess
going
to
Slack
the
the
Fortran
channel
on
slack
is
going
to
be
a
good
first
place
for
getting
more
information.
Yep
thanks,
great
yeah.
That's
that's
really
good
for
Trends,
I
think
widely
used
and
quite
an
important
language,
and
you
know,
despite
it,
it
seems
to
get
a
yeah
a
lot
of
dissing
out
there,
but
it's
it's
actually
a
yeah
we're
really
nice
languages.
It's
it's
quite
is
quite
user-friendly.
I.
E
A
We'll
go
on
to
our
next
segment,
which
is
our
topic
of
the
of
the
day,
and
so
today
we're
going
to
talk
a
little
bit
about
nurse
science
highlights
starting
out
with
what
are
they
so
so,
every
month
in
in
this
meeting,
we
start
out
in
our
win
of
the
month.
Talking
about
you
know
a
little
spiel
about
what
it's
about
and
and
mention
these.
You
know
something
as
a
candidate
for
a
science
highlight,
which
kind
of
does
raise
a
fairly
valid
question
of
you
know.
What
actually
is
that?
A
A
So,
for
what
does
it
look
like
traditionally
they've
taken
the
form
of
a
single
slide
that
was
presented
to
a
you
know
in
in
doe
reports
that
describes,
and
it
usually
has
some
sort
of
a
visual,
some
sort
of
a
you
know,
a
scientific
achievement
and
a
little
bit
about
the
significance
and
impact,
and
you
can
see
in
you
know
this
example
at
the
top
yeah.
It's
very
brief.
A
Very
concise
kind
of
eye-catching,
just
yeah
points
out
that
yeah,
the
key
details
and
yeah
has
a
few
links
to
to
more
information.
More
recently,
we've
been
writing
up.
Some
of
the
science
highlights
in
kind
of
a
you
know,
a
longer
article
form,
and
we
have
a
page
here
which
we'll
share
a
link
around
to
sort
of
shortly
with
an
example
of
one
of
these
articles,
and
so
there's
a
you
know,
a
more
detailed.
A
You
know
Science
News
type
provider,
so
you
know
it
can
take
a
couple
of
forms
and
basically
what
it
does
is
it
is.
It
describes
in
non-domain
expert
terms,
a
scientific
achievement
and
the
significance
and
impact
of
that
achievement
and
yeah,
particularly
of
course,
it's
attained
around
centered
around
nurse
users.
So
you
know
this
is
as
highlighting
work
that
used
nurse
resources
either.
You
know
nurse
compute
systems
or
nurse
storage
systems.
They've
been
science
highlights
around.
A
So
then,
why
does
it
matter?
Actually
it's
kind
of
pretty
important.
Really,
if
you
look
at
the
nurse
Mission
here,
it's
yeah,
the
mission
of
nurse
is
to
accelerate
scientific
discovery
at
the
department
of
energy
office
of
science
through
high
performance,
Computing
and
data
analysis,
which
is
to
say
that
the
science
is
the
reason
that
we're
here,
and
so
you
know
paying
attention
to
these
in
the
form
of
highlights.
You
know
it's,
it's
valuable.
You
know
both
in
terms
of
showcasing
the
work,
that's
being
done.
C
A
Know
helping
to
keep
our
attention
and
I'll
Focus
yeah
yeah
on
our
mission,
so
yeah
these
get
presented
to
doe
in
some
regular
reports
and
get
used
in
our
annual
reports.
It's
good
for
for
visibility
for
nurse.
It's
also
good
for
visibility.
For
you
know
the
nurse
users
producing
this
science.
It's
a
good
way
to
get
get
your
actual
work.
A
So
this
is
the
one.
This
is
the
most
recent
one
published
just
earlier
this
week.
New
math
methods
and
promoter
HPC
combine
to
deliver
record-breaking
machine
learning
algorithm
and
the
the
I
guess.
The
the
summary
of
this
is
that
nurse
users,
working
in
mathematics
for
experimental
data
and
in
Earth
and
environmental
science
came
up
with
an
approach
for
gaussian
processes
that
solves
one
of
its
limitations,
which
was
that
the
you
know
once
once
the
The
Matrix
gets
beat.
What's
the
covariance
Matrix
gets
large,
it
becomes
a
little
bit
unmanageable.
A
You
know
a
large
number
of
Perl
matter,
GPU
nodes,
and
so
now
the
the
individual
sub
Matrix
sub
matrices
are
small
enough
to
be
processed
within
a
single
GPU,
and
this
suddenly
makes
you
know
a
much
larger
set.
Oh
yeah
yeah.
It
makes
much
larger
problems
tractable
so
and
then
to
demonstrate
the
the
approach.
A
A
It
was
a
a
data
set
around
temperatures,
basically
but
yeah,
so
they
demonstrated
the
ability
to
be
able
to
to
use
this
method
to
deal
with.
You
know
a
huge
volume
of
data
coming
out
of
your
newer
climate
science
work,
which
is
you
know
there
is
a
very
large
amount
of
data
coming
out
there
so
and
as
well
as
just
being
able
to
deal
with
the
sheer
volume
of
data.
A
They
also
got
a
really
significant
speed
up
by
breaking
it
down
into
sub
matrices
that
could
fit
on
the
GPU
they'll
see
something
like
a
25
times.
Speed
up
over
Quarry
and
yeah,
which
is
which
is
great
25
times,
is
a
is
a
really
good
result,
and
this
work
was
just
recently
published
in
nature.
Scientific
reports.
A
A
Another
one
from
a
little
earlier
this
month
shining
a
light
on
electrons
role
in
energy
transfer
among
2D
materials.
So
so
this
was
an
interesting
combination
of
experimental
work
and
simulation
work
so
there
so
so
this
group
is
working
with
2D
materials,
essentially
a
single
single
atom
layer
sheets.
A
If
I
remember
rightly,
I-
think
this
one
they
they
did
was
this
one's
I
know
this
one
wasn't
sick
of
2K.
This
was
a
a
custom
code,
so
yeah,
basically
they
were
able
to.
You
know
use
quite
a
lot
of
processes
on
Quarry
to
run
simulations
to
actually
understand
what
was
going
on
and
see.
The
role
of
electrons
in
you
know
greatly
greatly
increasing
the
energy
transfer
between
the
layers,
and
this
one
also
got
a
write-up
in
this
term
in
in
nature
nanotechnology,
foreign.
A
This
is
an
older
one
from
from
last
year,
and
this
is
in
the
the
Highlight
slide
format
and
design.
That
was
a
snapshot
in
that
that
earlier
slide,
you
can
see
this
one's
actually
an
animated
slide,
and
a
few
of
them
are
using
animated
graphics
like
this.
This
was
some
really
interesting
work
using
artificial
intelligence.
A
A
A
A
So
but
the
team
was
able
to
run
at
scale
on
four
of
the
top
10
supercomputers
in
the
world
at
the
moment,
so
Frontier,
which
is
the
number
one
at
the
moment,
fugaku,
which
I
think
was
previously
the
number
one
or
yeah
in
Japan
Summit
and
our
own
Pearl,
Manor
and
yeah
disability.
This
these
results
got
at
the
2022
Gordon
Bell
prize
foreign.
A
So
another
one
we've
got
here:
we
we
actually
on
Palmetto.
So
you
know
some
nurse
users
were
possibly
the
first
or
or
close
to
it,
at
least
to
break
the
exit
op
barrier,
so
we've
been
working
towards
extra
flops
for
a
while
and
in
fact,
I
think.
The
exit
flop
barrier
was
recently
broken
too
so
fxa
XR
is
10
to
the
power
of
18.
A
flops
as
floating
Point
operations
per
second,
and
tends
to
mean
you
know
full
64-bit.
What
do
you
call
it?
Precision
yeah,
but
you
know
that
that
sort
of
level
of
precision
is
kind
of
expensive
and
yeah.
We
use
it
a
lot
because
we
need
the
numerical
stability,
but
it's
not
always
actually
necessary,
and
so
this
team
showed
that
for
certain
problems
they
could
use
mixed
precision
and
use
a
lower
Precision,
even
fp16.
A
One
was
that
they
used
a
sub
Matrix
method
to
break
up
a
very
large,
sparse,
Matrix
and
distribute
it
over
again
lots
of
Perl
matter
gpus
and
by
using
mixed
Precision
they're
able
to
do
a
bunch
of
the
calculations
in
XP
in
sp16,
which
meant
that
they
could
use
Palmetto,
gpu's
tensor
cores,
which
gives
a
you
know,
an
enormous
amount
of
parallelism
and
so
running
on.
You
know
1100
nodes,
so
4400
gpus
on
perlmana.
They
managed
to
correct
the
extra
Ops
barrier.
A
A
There's
a
subpage
called
science
news,
and
you
can
point
your
phone
in
this
QR
code
and
and
jump
directly
to
it
and
see
the
list
soon
see
if
this
is
just
the
most
recent
list
as
of
a
day
or
so
ago,
this
one
a
couple
that
we
looked
at
just
now,
so
the
ones
that
we
looked
at
you
know
some
of
them
were
being
published
in
nature.
Some
of
them
were
quite
big
achievements.
A
Thank
you
also.
You
know
a
lot
of
highlight
worthy
science.
There's
things
in
progress
or
coming
up
as
well,
so
some
of
these
articles
are
talking
about
the
work
that's
being
done.
For
instance,
the
the
super
facility
project,
which
you
know,
allows
compute
facilities
such
as
nurse
to
integrate
really
tightly
with
experimental
facilities
such
as
particle
accelerators
and
provide
near
real-time
processing
to
you
know,
support
work
being
done.
You
know
experimental
work
being
done
with
computational
analysis.
A
F
A
So
I
think
it's
one
of
the
options,
but
it's
not
the
primary
one
that
we
use
to
find
Science
highlights
and
actually
that
it's
a
good
good
segue
to
jump
onto
the
next
slide
oops,
which
is
mostly
the
way
that
we
find
Science
highlights,
is
by
talking
with
users
and-
and
you
know
sometimes
by
hearing
rumors.
They
are,
you
know,
yeah,
basically
hearing
news
from
nurse
users
about
work
that
they've
been
doing,
and
we
are
very
interested
in
you
know
in
hearing
more
of
these,
so
we've
got
a
form
so
yeah.
A
We
would
like
to
really
encourage
you
to
submit
work
that
you've
done
as
a
as
a
candidate
for
a
science
highlight
yeah,
it
was
a
good
opportunity
to
showcase
your
work.
It's
also
available
to
nurse,
to
you
know,
be
able
to
showcase
our
users
work
and
show
that
you
know
nurse
users
are
making
significant
scientific
advancements
using
these
resources.
A
F
Yeah,
so
that's
kind
of
it
is
me,
maybe
my
second
question
I'm
just
valuing
through
this
initial
form
and
I
wonder
for
me
personally.
I
am
interested
us
because
it's
nask
highlight
I
might
be
more
interested
in
what
language
they
use
to
write
their
model
or
what
libraries
they
used
for
that
model.
Oh.
C
F
You
know
it's
more
also,
some
as
some
kinds
of
relevancy
or
more
connections,
because
it's
interesting
for
me
as
scientific
curiosity,
just
reading
other
fields
in
the
in
a
you
know:
non-domain
scientists,
language,
but
still
even
more
interesting.
To
me,
for
example,
yeah
I
saw
some.
You
know
those
really
nice
works
because
in
machine
learning
and
moved
to
the
gpus
and
I
just
curious
how
they
used
to
use
python
or
if
it's
python,
which
Library
did
they
use,
and
those
kind
of
injectories
also
help
me
my
work
as
well.
F
F
A
C
C
Yes,
that's
right,
koichi
found
that
in
there
there's
a
part
that
it's
not
required.
If
people
don't
want
to
share
or
don't
feel
it's
necessary
for
whatever
reason,
but
if
you,
if
you
do,
use
this
form
or
if
you
ask
your
students
or
collaborators
to
use
this
form,
maybe
encourage
them
to
at
least
give
some
information
in
that
part
as
well.
C
I
I
will
encourage
people.
We
can
also
always
reach
back
out.
I
mean
once
we
have
a
contact
with
that
person.
It
opens
things
up
for
like
a
dialogue,
so
if,
if
you
know
I
mean
most
papers
have
a
corresponding
author
in
case,
someone
is
interested
in
what
they've
done
more
more
in
more
detail.
So
you
know
that's
also
just
helpful.
A
So
we
had
possibly
still
have
I
think
it
was
connected
to
the
to
when
we're
moving
to
k,
l
in
the
early
days
of
Quarry
a
set
of
case
studies
of
you
know,
projects
that
have
migrated
to
k,
l.
In
fact,
we
might
well
have
them
for
Pearl
matter
as
well
in
our
in
our
doctor,
nurse.gov
not
entirely
up
to
date
with
with
it
but
yeah
that
that
could
be
sort
of
a.
What
do
you
call
it?
A
corresponding.
A
C
C
A
Yeah,
that
sounds
like
a
great
idea,
so
we're
actually
getting
quite
close
to
the
the
top
of
the
hour.
So
we
should
before
winding
up
just
a
a
brief
look
at
what's
coming
up.
So
we
have
next
couple
of
topics
that
we
have
lined
up
is
in
April.
Nurse
Johannes
is
going
to
talk
a
little
bit
about
using
Julia
right
mask.
A
So
if
you
have
it
in
Canada,
yet
Julia
is
a
fairly
new
language
and
it's
a
syntax
I
think
is
actually
a
little
bit
inspired
by
fortrade
amongst
other
things,
but
it's
a
it's
a
dynamic
language,
but
it
compiles
it
compiles
down
to
to
code,
so
it
can
produce
a
very
fast
code
uses
multiple
dispatch.
There's
you
know
it's
it's
it's
a
really
nice
language
actually,
and
you
know
we
have
some
support
for
it
here
and
then
in
May
intensively.
A
A
In
to
nurse
systems,
depending
on
you
know
on
your
workflow,
you
can
do
yeah
a
bunch
of
stuff
through
Jupiter
Hub,
but
you
know
it
includes
a
terminal
ability,
so
yeah
we'll
have
a
bit
of
a
walk
through
there
and
as
as
always,
we
are
always
interested
in
more
topic
ideas
and
especially
in
nisk
users,
presenting
some
of
their
work.
So
if
you
have
a
topic
idea
or
have
some
work
to
present
we'd
love
to
hear
from
you
and
there's
a
a
form
here
and
a
QR
code
to
it
to
to
submit
through.