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From YouTube: NUG Meeting 2014: Carter
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A
Thanks
for
coming
and
welcome
to
nug
2014,
this
is
going
to
kick
off
event
for
our
year-long
celebration
of
nurse
40th
anniversary.
So
look
for
other
events
throughout
the
year.
I'm
richard
gerber
lose
you
don't
know
me.
I'm
the
senior
science
advisor
to
the
director
at
nurse
can
also
the
group
lead
the
user
services
group
so
to
get
started.
I'm
honored
to
introduce
jonathan
carter,
the
berkeley
lab
computing
sciences
area
deputy
so.
B
If
any
of
you
are
not
familiar
with
Berkeley
Lab
and
looking
around
the
audience,
that
seems
pretty
unlikely,
but
I'll
talk
to
this
slide.
Anyway,
we've
been
around
for
48
years,
so
we
have
about
4,000
just
over
4,000
employees
and
the
budget
last
year
was
just
over
8
under
a
million
dollars.
We
have
a
close
affiliation,
obviously
with
the
University
of
California
Berkeley
and
share
a
sizable
number
of
staff.
We
have
our
incredible
presence
on
the
hill
of
of
amazing
scientists,
Nobel
Prizes
National
Academy
of
Science
members
and
national
academy
of
engineering
Institute.
A
B
B
So
some
of
the
berkeley
lab
science
focus
areas.
I've
drawn
this
kind
of
a
limbic
ringing
theme
to
capture
the
more.
Obviously
we
have
a
big
effort
in
biosciences,
looking
mainly
a
synthetic
biology
and
effort
in
energy,
environmental
sciences.
Looking
at
energy
efficiency
of
buildings
and
similar
things
with
the
ALS
we're
working
boat
on
sciences,
understanding,
the
structure
of
small
molecules
are
looking
at
probing
the
reactions
of
them,
a
large
effort
in
physics
and
cosmology,
obviously
high
energy
physics
and
computing
Sciences,
which
I
want
to
go
into
a
little
more
detail
later.
But
I.
B
Think
a
critical
thing
to
point
out
is
that
computing
actually
underpins
many
of
these
other
efforts
in
a
very
fundamental
way,
and
some
other
talks
will
be
hearing
about
later
today
and
later
in
the
week
will
really
bring
this
out.
The
efforts
of
K
base
and
computing
for
the
jgi
in
biosciences
to
a
new
project
that
Jamie
Seth
ian
is
PIR
called
camera,
which
is
looking
at
interacting
with
light
sources
to
produce
new
mathematical
algorithms
to
get
them
their
answers
much
quicker
than
than.
B
So,
in
a
little
bit
more
detail,
computing
Sciences
about
your
lab
is
broken
into
three
divisions.
The
nurse
facility
have
a
picture
here
of
the
latest
accepted
machine
Edison,
the
scientific
networking
division,
which
runs
the
es
net
facility,
which
is
a
national
fiber
footprint,
providing
high
bandwidth
and
low
latency
connections
between
all
the
major
dooley
labs,
and
also
we
have
a
computational
research
division,
which
you
might
roughly
break
up
into
three
pieces
with
a
talent
and
applied
math
computational
science
and
computer
science.
B
So
a
little
bit
of
nurse
history
as
it
is
the
40th
anniversary
there
are
and
I
hope.
I
have
all
this
correct,
because
I
only
know
the
history
personally
from
96
onwards,
but
apparently
the
center
was
founded
under
the
name,
the
the
controlled
fusion
research
computing
center
back
in
1974
and
then
a
couple
of
years
later
it
went
on
the
network
as
the
National
magnetic
fusion
energy
research
center.
It
started
with
pretty
humble
beginnings.
B
The
first
forays
into
massively
parallel
processing
began,
and
we
may
not
from
our
vantage
point
now
over
a
hundred
thousand
cause.
We
may
not
recognize
it
really
as
massively
parallel
processing
but
it,
but
it
was
at
the
time
maybe
a
hundred
and
twenty
eight
processors
that
was
the
teeth.
With
D,
then
in
96
a
nurse
moved
to
Berkeley
Lab
and
we
began
to
diversify
in
some
ways,
picking
up
a
custom
system
for
dealing
with
a
particle
data
processing
and
we
went,
we
took
massively
parallel
computing
mainstream.
The
t3
was
our
flagship
machine.
B
Then
we
shifted
away
from
Crais
in
2001
when
we
purchased
an
IBM
sp3,
and
that
was
a
it
was
a
rib.
It
was
upgraded
in
in
two
events
and
we
we
hung
onto
that
until
two
thousand
seven,
when
we
put
into
production
a
Cray
XT
for
Franklin
that
was
upgraded
to
an
XT
five
and
then
this
is
much
much
more.
Recent
history,
as
we
put
into
service
the
hopper
system
and
the
Edison
system.
B
So,
after
more
than
10
years
away
down
in
Oakland
nurse
will
be
moving
back
to
the
hill
to
be
closer
to
the
other
divisions,
you'll
be
moving
into
the
building
that
you
most
probably
saw
being
constructed
just
down
the
hill
from
us
here,
the
computational
research
and
theory.
Building,
it's
going
to
be
a
four-story
building,
two
floors
of
offices,
a
one
floor,
machine
room
and
the
lower
level
is
the
mechanical.
This
will
be.
A
B
His
career
spanned,
a
great
many
different
research
areas
from
applied
math
to
a
machine
job
scheduling
on
the
t32
working
with
parallel
languages
to
working
with
the
future
technologies
group
in
CID.
Most
recently,
Mike
was
working
with
the
storage
systems
group
and
ask
those
of
us
who
worked
with
Mike
will
remember
that
he
was.
B
He
always
had
a
cheerful
disposition.
He
jumped
into
projects
that
other
people
would
have
bald
tab
and
he
kept
really
nurse
on
track
in
many
ways,
taking
us
to
her
to
bigger
and
better
things.
So
our
thoughts
are
with
his
friends
and
family
at
this
time,
and
that's
where
I
would
like
to
him.
Thank
you.