Low Power System-on-a-Module


  • Size – 1.249″W x 3.37″L x 0.25″H
  • Highest performance per watt of power
  • Advanced power modes for ARM/DSP and FPGA
  • Processor – Texas Instrument DM3730
  • FPGA – Xilinx® Spartan®-6 up to LX45 (Why not Artix™?)
  • Memory – LPDDR 512MB (Option for 1GB)
  • Flash – On board microSD up to 16GB


  • Texas Instrument DM3730 (contact sales for other options)
  • Up to 1GHz ARM Cortex-A8 Core
  • NEON SIMD Coprocessor
  • Up to 800 MHz TMS320C64x+ DSP Core
  • Linux 3.x and Android 4.x OS support

Spartan FPGA

  • Xilinx Spartan-6 LX16 (Option for LX45)
  • 1050 MHz Clocking Technology
  • Memory Block Capacity up to 2 MB
  • Integrated DSP48A1 Slices
  • iVeia Velocity-EHF Processor/FPGA Framework


  • Memory – LPDDR 512MB (Option for 1GB) DDR-333
  • Flash – On board microSD up to 16GB

Dedicated I/O

  • USB 2.0 On-The-Go (OTG)
  • USB 2.0 host (two total USB interfaces)
  • Secure-Digital memory card (SD and SDIO)
  • I2C and UART
  • Analog Audio Line In, Microphone In, Stereo Headphone/Line Out
  • 3-by-4 keypad matrix
  • JTAG
  • High-performance Samtec QTH connector

Flexible I/O

  • 54 user-configurable flex-I/O in two independent banks
  • Gigabit Ethernet (RGMII)
  • I2C, SPI, UART, and general-purpose I/O
  • Digital video: DVI/HDMI, Camera Link, GigE Vision, BT656
  • High-speed ADC and DAC interfaces
  • I2S digital audio
  • High-performance Samtec QTH connector

The Atlas-I-LPe™ is a low power, small form factor processing module featuring the Texas Instruments OMAP processor and the Xilinx Spartan-6 FPGA. The OMAP architecture consists of an ARM Cortex™-A8 processor core and an optional Texas Instruments TMS320C64x+™ Digital Signal Processor core in a single device. The Spartan-6 FPGA is an advanced low power FPGA with hardened DSP blocks and SRAM blocks enabling additional high-speed signal processing. The Atlas-I-LPe module has an ARM Cortex -A8 running up to 1 GHz coupled with a low-power Xilinx Spartan-6 LX16 FPGA. The Spartan-6 provides easy glue-less physical interfaces, flexible ARM peripheral expansion, and co-processing capability.

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iVeia Computing
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Baltimore, MD 21224


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