Many engineer friends are very interested in OpenCL and OpenCL for FPGA, and have raised many related questions. Here is a small technical popularization article for your reference and learning. Welcome to refer to it...
What is OpenCL?
OpenCL and the OpenCL logo are trademarks of Apple Inc., used under license from Khronos
OpenCL (full name Open Computing Language) is the first open, free standard for general-purpose parallel programming of heterogeneous systems. It is also a unified programming environment that makes it easy for software developers to write efficient and lightweight code for high-performance computing servers, desktop computing systems, and handheld devices. It is also widely applicable to other parallel processors such as multi-core processors (CPUs), graphics processors (GPUs), Cell-type architectures, and digital signal processors (DSPs). It has broad development prospects in various fields such as games, entertainment, scientific research, and medical care.
The OpenCL standard is the first open, royalty-free, unified programming model that accelerates algorithm implementation on heterogeneous systems. OpenCL supports code development using a C-based language on different platforms—from CPUs, GPUs, digital signal processing (DSP) devices, to FPGAs. Many vendors in the Khronos Group support OpenCL.
What are the advantages of OpenCL for FPGAs?
(1)Enable users’ products to be launched on the market more quickly
a.Compared with traditional FPGA design processes, products can be brought to market more quickly.
b. Use the OpenCL C (based on ANSI C) parallel programming language instead of traditional low-level hardware description languages (HDLs) to describe your algorithms.
c. Rapidly carry out design development in a higher level design abstraction environment.
d. Future-proof your design by retargeting OpenCL C code to current and future FPGAs.
e. Skip the time-consuming manual timing closure and design of communication interfaces between FPGA, host, and external memory, and implement your OpenCL C code on FPGA in one step.
(2) A solution with better performance and higher efficiency can be obtained
a. Offload performance-intensive functions from the main processor to the FPGA, thereby improving performance.
Learn more by watching a demo that accelerates algorithm performance by offloading to FPGA using OpenCL.
c. Compared with other hardware solutions, it significantly reduces power consumption and improves performance. Using the fine-grained architecture of FPGA, Altera's SDK for OpenCL only generates the logic you need, and the power consumption is only 1/5 of that of hardware solutions.
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