The Parallella Board
• 18-core credit card sized computer
• #1 in energy efficiency @ 5W

16-core Epiphany RISC SOC

Zynq SOC (FPGA + ARM A9)
• Gigabit Ethernet

• 1GB SDRAM
• Micro-SD storage
• Up to 48 GPIO pins
• HDMI, USB (optional)
• Open source design files

• Runs Linux
• Starting at $99

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The Parallella computer is a high performance, credit card sized computer based on the Epiphany multi-core chips from Adapteva.  The Parallella can be used as a standalone computer, an embedded device or as a component in a scaled out parallel server cluster.

The Parallella includes a low power dual core ARM A9 processor and runs several of the popular Linux distributions, including Ubuntu.

The unique Epiphany co-processor chips consists of a scalable array of simple RISC processors programmable in bare metal C/C++ or in a parallel programming frameworks like OpenCL, MPI, and OpenMP. The mesh of independent cores are connected together with a fast on chip network within a distributed shared memory architecture.

The Parallella is an ideal candidate for anyone interested in the field of parallel computing.

  • Zynq-Z7010 or Z7020 Dual-core ARM A9 CPU
  • 16-core Epiphany Coprocessor
  • 1GB RAM
  • MicroSD Card
  • USB 2.0
  • Up to 48 GPIO signal
  • Gigabit Ethernet
  • HDMI port
  • Linux Operating System
  • 54mm x 87mm form factor

Consumer:

  • Smart-phones and tablet app acceleration
  • High end audio
  • Computational photography
  • Speech Recognition
  • Image detection/recognition/tracking

Computing Infrastructure:

  • Super Computers
  • Big Data Analytics
  • Software Defined Networking
  • Data-center Appliances

Mil/Aero:

  • Radar/Sonar
  • Extremely Large Sensor Imaging
  • Hyperspectral Imaging
  • Communication Jamming
  • Drones/UAVs

Medical:

  • Ultrasound
  • CT

Communication:

  • Communication test-bed
  • Software Defined radio
  • Adaptive Pre-distortion
  • Compression
  • Security

Industrial/Instrumentation:

  • Machine Vision
  • Autonomous Robots/Navigation
  • Automotive Safety
  • High Speed Data Acquisition/Generation