HPERC-KBL-MH

HPERC-KBL-MH

Rugged Convection Cooled System with Intel® Xeon® Processor and MIL-DTL-38999 Connectors

Key Features
  • VITA 75 mount with passive convection cooling
  • Intel® Xeon® Processor E3-1505M v6, quad-core; 16GB DDR4-2400 with ECC soldered down
  • Compliant with MIL-STD-810G/461F/704F/1275E
  • Quad Gigabit Ethernet and 6x USB ports
  • Available GPGPU on PCI Express x16 Gen3
  • 3 independent displays (DVI/VGA)
  • Wide temperature range: storage -40°C to +85°C, operating -40°C to +75°C
  • OS support: Windows 10, RHEL 7.3

    DATA SHEET

Inside the tiny footprint of Tech Square’s HPERC lives the power of Intel® Xeon® processor and optional GPGPU parallel processing engine based on a NVIDIA Quadro MXM module. Dual removable secure erase RAID-0 SSDs provide 12Gb/s throughput and security for deployment in hostile environments.

Easy configuration and expansion allows for fast integration of custom rugged embedded applications. Uniquely-keyed MIL-DTL-38999 connectors provide a wide array of fast IO. The HPERC reserves connector pins for expansion interfaces. The GPGPU sits on a 16-lane 3rd generation PCI Express interface to enable image processing and other applications driven by AI and Deep Learning technologies. Built with proven Ampro (acquired by Tech Square’s in 2008) reliability, the rugged capabilities of the HPERC are ideal for ground, air and sea deployments in military and aerospace. The HPERC systems survive shock, resist corrosion and galvanic oxidation, and perform in the humid jungle, the heat of the desert, and the bitter cold of frozen mountain passes.

In addition to Intel’s constantly evolving roadmap, NVIDIA’s many-core GPUs have transformed some areas of sensor processing, including radar, wide-area surveillance, and hyper spectral imaging, due the inherent suitability of parallel processing of those data sets. While this parallel processing paradigm has rapidly increased the processing capability within a given SWaP envelope, the real gains are yet to be exploited – the advent of Deep Learning will likely power the next wave of systems capabilities.

Image processing methods perform operations to enhance an image and/or extract useful information from it. Applications include pattern of life analysis, surveillance, reconnaissance, target identification, and geolocation in GPS-denied areas. For example, to collect tens of thousands of hours of aerial surveillance video and other theaters of operation. Turning what are often grainy, shaky videos taken by drones or satellites into clean image streams suitable for analysis — especially real-time analysis — poses a massive computational burden. According to NVIDIA and Motion DSP, GPUs can process such video seven times faster than CPU-only approaches. Coupled with NVIDIA’s CUDA graphics processing and the OpenGL API, Tech Square’s  HPERC, provides solution engineers with a powerful COTS (commercial off-the-shelf) sub-system with which they can design the next generation of image processing systems. More applications, including:

● ISR platforms (intelligence, surveillance and reconnaissance)

● Radar processing

● Software-defined radio (SDR)

● Sonar processing

● Forward looking infrared radiometry (FLIR)

MIL-STD

Certifications & Standards

Immersion
IEC60529, IP-67

Salt Spray
RTCA/DO-160G, Section 14, Category S

Altitude
0 to 50,000 ft.
Relative Humidity
95% at +60°C non-condensing

Shock
MIL-STD-810G – 516.6 Procedures I and V

Vibration
MIL-STD-810G – 514.6 Procedure I Categories 4, 9, 11, 21

EMI/EMC
MIL-STD-461F

Power
MIL-STD-704F & MIL-STD-1275E

Operating Temp.
MIL-STD-810G – 501.5 Procedure II
MIL-STD-810G – 502.5, Procedure 1 and 2

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Ordering Information

  • HPERC-KBLMH-100XN
    Finned-convection, Intel® Xeon® E3-1505M v6, 16GB RAM
Accessory
  • HPERC-X-03
    HPERC breakout cable kit including Amphenol MIL-STD Nkey & Akey (I/O cables), and AC adapter
  • GPU MXM module
    MXM NVIDIA Quadro P1000 GPU card, with 4GB GDDR5 memory (must be pre-assembled at ADLINK factory)
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