GE GRA112, SBC624, IVD2010, DSP280, DSP282 Brochure
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GE
Intelligent Platforms
GPGPU
COTS Platforms
High-Performance Computing Solutions
Rugged GPGPU COTS Boards
for Military and Aerospace
GPGPU platforms deliver new levels of
performance for size, weight and power
(SWaP) constrained mission payloads.
PARALLEL COMPUTING
2 cores
Optimized for throughput computing
The world of high-performance computing
is undergoing a revolution, thanks to
advances in General Purpose computing
on Graphics Processing Units (GPGPU). The
idea behind GPGPU is to use a GPU, which
typically handles computation for computer
graphics only, to perform parallel computation in applications that have traditionally
been handled by the CPU.
A multi-GPU platform hosted by one or
more CPUs is able to perform heterogeneous computing, harnessing the parallel
computing power of the many-core GPUs to
provide very large increases in performance
with minimal programming complexity.
96 cores
Additionally, programmers are helped with
software development environments such
as Compute Unified Device Architecture
(CUDA) and OpenCL, which allow them to
harness the many-core, parallel processing
capabilities of the GPGPU platforms.
While greatly increasing functional capability, the GPGPU platform also delivers the
performance with far less size, weight and
power (SWaP). This results in significant
savings in cost, risk, and time-to-market.
Lab-proven technologies ruggedized for the rough and tumble
world of military applications
Now these benefits are fully available for
rugged military and aerospace applications.
With the introduction of a full range of GE
Intelligent Platforms rugged GPGPU boards
and systems, the advantages of GPGPU are
no longer confined to controlled environments
at universities, research centers and hospitals.
The unique partnership between GE Intelligent Platforms and NVIDIA allows for new
product development using NVIDIA GPUs
based on the award-winning CUDA architecture, for Military and Aerospace applications.
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gpgpu • www.ge-ip.com/gp gpu
Enhanced Performance for
1
1
Far Less Size, Weight and Power
The graph shows GFLOPs performance
for the VSIPL multiple FFT operation. It
compares performance on different GE
Intelligent Platforms embedded platforms;
a GPU platform, multi-core Intel Penryn and
i5 platforms and an e600 based PowerPC
platform. GE’s platform-optimized AXISLib
DSP library product is used on all platforms.
Data is in GPU memory for the GPU case
and in-cache for the Intel and PPC cases.
MULTIPLE FFT PERFORMANCE - GPU vs INTEL
60.00
50.00
40.00
GFLOPs
30.00
20.00
10.00
0.00
000256
000256
001024
000100
004096
000050
MATRIX SIZE
016384
000020
065536
000020
INCREASING PERFORMANCE ADVANTAGE OF GPU
PEAK MEMORY BANDWITH (GB/sec)PEAK PERFORMANCE (Gflop/Watt)
0
GPU
CPU
8
6
4
2
0
2003 2004 2005 2006 2007 2008 2009 2010
Magic1 – G73
G70
Pentium M
GeForce 240M
Core 2 Quad
GeForce 480M
G92
Core i7
00
80
60
40
20
0
2003 2004 2005 2006 2007 2008 2009 2010
GPU
CPU
Harpertown
3 GHz
131072
000020
GT240/CUDA VSIPL
Penryn - 2 threads
i5 - 2 threads
i5 - 4 threads
PPC - 1 thread
GeForce 8800M
GeForce Go 7800
Nehalem
3 GHz
GE’s new GPGPU platforms are particularly well-suited to many of the processing
SIZE WEIGHT POWER
needs of Military and Aerospace applications where size, weight and power are key
considerations along with resistance to
extended temperature, shock and vibration.
GPGPU technology allows system designers
to pack more punch into less space and use
less power for your applications.
Industrial Standard
(576 Gflops)
GPGPU Products
(766 Gflops)
4 cu 105 lbs 2000 W
0.8 cu
10 lbs
200 W
REDUCTION IN:
• COST
• RISK
• TIME TO MARKET
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Rugged GPGPU COTS Boards
for Military and Aerospace
Radar
One of the biggest challenges for today’s
radar systems is to provide more capability—range, number of targets, speed,
etc. —while meeting ever more stringent
SWaP constraints. The extra speed offered
by the GPGPU platforms translates directly
to more area coverage and more security
for the operating team.
One rack containing 72 conventional
processors (18 6U boards) and producing a
peak capability of 576 GFLOPS can take up
4 cubic feet, weigh over 105 pounds and
consume over 2000 watts. GPGPU tech-
nology can allow system designers
to fit an unprecedented amount
of processing power into a
very compact package.
The use of three 3U VPX
boards can yield peak
processing power of
766 GFLOPS in less
than 0.4 cubic feet.
Development Ease
Increases in performance will be obtained in
application areas such as Software Defined
Radio, sonar, and medical imaging. But what
is less obvious is the change in development
strategy offered by GPGPU technology. The
only other technology currently offering
massively parallel processing capability is
Field Programmable Gate Arrays (FPGAs).
Although FPGAs provide very highperformance data processing, developing
high-performance FPGA cores requires a
very specialized skill set built on a hardware
engineering background, whereas developing code for GPGPU processors is much
more of a software issue. For companies
with a background in multi-processor GPP/
DSP-based system architecture, the move
to GPGPU will be much less disruptive than
a move to FPGA processors. The processing
power, system size and power consumption
are compelling factors, but the addition of
programming ease makes such a system
tough to match.
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