OpenCL™: Single-Threaded vs. Multi-Threaded Kernels (OOPNCLKERN)

24 Minutes Online Course

Course Description

This online training discusses two different ways of creating effective pipelining solutions with OpenCL™ on FPGA accelerators. We will talk about how NDRange or multi-threaded kernels, where programmers explicitly implement the kernel in a data-parallel way, are mapped on to the FPGA as well as how single-threaded kernels, where the compiler extracts parallelism automatically with loop pipelining, are executed on the FPGA. We will discuss the various advantages and disadvantages of each method and walkthrough a FIR design example to illustrate the difference.

*OpenCL and the OpenCL logo are trademarks of Apple Inc. used by permission of Khronos.

At Course Completion

You will be able to:

  • Describe how NDRange kernels are mapped to FPGAs
  • Understand the concept of loop-pipelining in single-threaded kernels and how loop carried dependencies are handled
  • Understand the advantages and limitations of both types of kernels
  • Know when to use single-threaded tasks vs multi-threaded NDRange kernels

Skills Required

  • Basic OpenCL coding knowledge

Applicable Training Curriculum

This course is part of the following Intel FPGA training curriculum:

Class Schedule

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