Many engineers and friends are very interested in OpenCL and OpenCL for FPGA, and there are many related issues. Here is a small technical popular article for everyone to learn, welcome to refer to...

What is OpenCL?

The OpenCL and OpenCL trademarks are trademarks of Apple Inc., used under license from Khronos

OpenCL (full name Open CompuTIng Language, open computing language) is the first open, free standard for general purpose parallel programming of heterogeneous systems. It is also a unified programming environment for software developers to be high performance computing servers and desktop computing systems. Handheld devices write efficient and lightweight code, and are widely used in multi-core processors (CPUs), graphics processing units (GPUs), Cell-type architectures, and other parallel processors such as digital signal processors (DSPs) in gaming, entertainment, and Research, medical and other fields have broad prospects for development.

The OpenCL standard is the first open, royalty-free, unified programming model that accelerates algorithm implementation on heterogeneous systems. OpenCL supports the development of code using C-based languages ​​on different platforms—from CPUs, GPUs, digital signal processing (DSP) devices, to FPGAs. Many suppliers of the Khronos Group support OpenCL.

What are the advantages of OpenCL for FPGA?

(1) Enable users' products to be launched more quickly

a. Products can be launched more quickly than traditional FPGA design processes.

b. Describe your algorithm using the OpenCL C (ANSI C) parallel programming language instead of the traditional underlying hardware description language (HDL).

c. Rapid design development in a higher level design abstraction environment.

d. Repositioning OpenCL C code for current and future FPGAs, the design will not be outdated.

e. Skip time-consuming manual timing closure and communication interface design between the FPGA, host, and external memory. You can implement your OpenCL C code on the FPGA in one step.

(2) Achieve better performance and higher efficiency solutions

a. Performance is improved by offloading performance-critical features from the host processor to the FPGA.

Learn more about the performance of the algorithm by offloading to the FPGA using OpenCL.

c. Significantly reduce power consumption and improve performance compared to other hardware solutions. Using the fine-grained architecture of FPGAs, Altera's SDK for OpenCL only generates the logic you need, with only one-fifth the power of hardware.


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