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ALMARVI Execution Platform: Heterogeneous Video Processing SoC Platform on FPGA.

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This summary is machine-generated.

This paper introduces the ALMARVI heterogeneous platform for easy application porting on custom hardware. It optimizes execution time on VLIW and TCE cores using OpenCL with minimal development effort.

Keywords:
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Area of Science:

  • Computer Engineering
  • Embedded Systems
  • High-Performance Computing

Background:

  • Custom hardware offers optimal application performance but requires significant porting effort.
  • Heterogeneous computing platforms are emerging to address diverse processing needs.
  • Existing solutions often lack ease of programmability for diverse architectures.

Purpose of the Study:

  • To present the ALMARVI execution platform, a heterogeneous computational system.
  • To enable easy programmability of custom hardware through an OpenCL interface.
  • To reduce development and porting effort for applications on specialized processors.

Main Methods:

  • Developed a heterogeneous platform comprising multiple communicating processors.
  • Integrated VLIW (ρ-VEX) and Transport Triggered Architectures (TCE cores).
  • Utilized the Portable OpenCL (pocl) project and a custom ALMAIF interface specification.
  • Enabled transparent kernel execution on different processing elements.

Main Results:

  • Demonstrated seamless integration with Zynq devices like the ZedBoard.
  • Achieved optimized execution times through transparent kernel deployment.
  • Reduced the design and development effort for porting applications.

Conclusions:

  • The ALMARVI platform simplifies the use of heterogeneous computing for developers.
  • OpenCL integration with custom architectures significantly lowers the barrier to entry.
  • This approach facilitates efficient application execution on specialized hardware with minimal effort.