DSP282A Dual Quad Core Multiprocessor

Scalability for best size, weight and power (SWaP)

Designed for size, weight and power (SWaP) sensitive applications, Abaco's high performance embedded computing (HPEC) platforms deliver expanded mission capabilities across a wide range of manned- and un-manned airborne, ground and naval platforms.

The HPEC architecture can scale from one to many processor nodes per enclosure via RDMA Ethernet and Gen 3 PCIe, providing very high inter-processor bandwidth at extremely low memory-to-memory latencies. In addition, system integrators can minimize card count by mapping multiple platform functions such as control, DSP, image- and video processing and graphics onto one or more DSP282A in order to reduce spares and simplify logistical support in the field.

Provides higher computing performance at lower size, weight and power

Deployed platforms can:

• Stay on mission longer – improved “loiter time”
• Process more sensor data at higher resolutions
• Provide better quality information to decision makers in a shorter time frame
• Support activity-based intelligence
• Support a wider range of mission types from the same processing platform

Further, time to solution can be shortened, risk minimized and cost of ownership reduced with Abaco System's Open System Architecture HPC architecture, harnessing mainstream HPC and Big Data software and leveraging off-the-shelf HPC applications, middleware and drivers.

​Supported by Abaco Systems’ unique AXIS Advanced Multiprocessor Integrated Software development environment

AXISPro includes AXIS MPI, a high performance IPC middleware with the industry standard MPI application programming interface (API). AXIS also includes the AXISView GUI for task level programming and fast prototyping to reduce development cost and speed development of applications targeted at multi-threaded, multi-core and multi-node distributed system architectures across multiple operating systems including Linux®, Windows® and VxWorks®. Quick start signal- and image processing examples further accelerate time-to-solution are provided.