NVIDIA Grace Hopper Superchip Boosts Murex MX.3 Performance, Enhances Energy Efficiency

NVIDIA’s
new
Grace
Hopper
Superchip
is
transforming
the
capabilities
of
Murex’s
MX.3
platform,
significantly
enhancing
performance
metrics
while
reducing
energy
consumption,
according
to
the

NVIDIA
Blog.

Managing
Risk
With
MX.3
Driven
by
Grace
Hopper

Following
the
2008
financial
crisis,
regulatory
changes
have
pushed
financial
institutions
to
adopt
more
robust
risk
management
frameworks.
Pierre
Spatz,
head
of
quantitative
research
at
Murex,
anticipated
a
growing
demand
for
more
efficient
computing
solutions.
In
response,
Murex
has
adopted
NVIDIA’s
cutting-edge
technologies,
including
CUDA
and
GPU-accelerated
computing.

Recently,
Murex
began
testing
NVIDIA’s
Grace
Hopper
Superchip,
aiming
to
enhance
the
performance
and
energy
efficiency
of
its
MX.3
platform.
MX.3
is
used
by
over
60,000
daily
users
across
65
countries
for
trading,
risk
management,
and
operations
in
various
asset
classes.

The
Grace
Hopper
Superchip
is
specifically
being
tested
for
its
ability
to
handle
X-valuation
adjustments
(XVA)
and
other
critical
calculations.
Murex
has
reported
that
the
superchip
delivers
faster
calculations
and
significant
power
savings,
which
are
crucial
for
institutions
needing
to
run
complex
risk
models
on
large
datasets.

“On
counterparty
credit
risk
workloads
such
as
CVA,
Grace
Hopper
is
the
perfect
fit,
leveraging
a
heterogeneous
architecture
with
a
unique
mix
of
CPU
and
GPU
computations,”
stated
Spatz.
“On
risk
calculations,
Grace
is
not
only
the
fastest
processor,
but
also
far
more
power-efficient,
making
green
IT
a
reality
in
the
trading
world.”

Early
tests
show
that
the
Grace
Hopper
Superchip
can
reduce
energy
consumption
by
4x
and
improve
performance
by
7x
compared
to
traditional
CPU-based
systems
when
running
XVA
workloads
in
MX.3.

Pricing
FX
Barrier
Options
in
MX.3
With
Grace
Hopper

In
addition
to
risk
calculations,
Murex
has
leveraged
the
Grace
Hopper
Superchip
for
pricing
foreign
exchange
(FX)
barrier
options
using
its
advanced
stochastic
local
volatility
model.
A
barrier
option
is
a
type
of
derivative
with
a
payoff
dependent
on
whether
the
price
of
the
underlying
asset
crosses
a
specified
threshold
during
the
contract
period.

The
pricing
evaluation
involves
solving
a
two-dimensional
partial
differential
equation
more
efficiently
on
the
Arm-based
NVIDIA
Grace
CPU
in
the
GH200.
Testing
shows
that
the
Grace
Hopper
Superchip
processes
these
calculations
2.3x
faster
than
Intel
Xeon
Gold
6148
systems.
Furthermore,
the
chip
is
5x
more
power-efficient
on
a
per-server
basis.

NVIDIA’s
commitment
to
energy-efficient,
high-performance
computing
is
evident
in
these
advancements,
providing
substantial
benefits
for
quantitative
analytics
in
the
financial
sector.
Murex’s
implementation
of
the
Grace
Hopper
Superchip
is
a
testament
to
the
accelerated
computing
platform’s
capabilities
in
improving
cost-efficiency
and
computational
speed.

Image
source:
Shutterstock

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