Exploring Approximate Accelerator Architectures Using Automated Frameworks on FPGAs

Time Stamp: March 10, 2023 3:41 PM
Source Node: 2009561

The use of Field Programmable Gate Arrays (FPGAs) for the development of approximate accelerator architectures has become increasingly popular in recent years. This is due to their ability to provide high performance, low power, and low cost solutions for a variety of applications. Automated frameworks have been developed to help explore approximate accelerator architectures on FPGAs, making it easier for developers to create and optimize their designs.

One of the most popular automated frameworks for exploring approximate accelerator architectures on FPGAs is the Approximate Computing Framework (ACF). This framework provides a set of tools and libraries that allow developers to quickly and easily explore different approximate computing techniques on FPGAs. ACF also provides a library of pre-defined approximate computing functions, which can be used to quickly create approximate accelerator architectures.

Another popular automated framework for exploring approximate accelerator architectures on FPGAs is the Approximate Computing Library (ACL). This library provides a set of tools and libraries that allow developers to quickly and easily explore different approximate computing techniques on FPGAs. ACL also provides a library of pre-defined approximate computing functions, which can be used to quickly create approximate accelerator architectures.

The Approximate Computing Toolkit (ACT) is another automated framework for exploring approximate accelerator architectures on FPGAs. This toolkit provides a set of tools and libraries that allow developers to quickly and easily explore different approximate computing techniques on FPGAs. ACT also provides a library of pre-defined approximate computing functions, which can be used to quickly create approximate accelerator architectures.

Finally, the Approximate Computing Environment (ACE) is an automated framework for exploring approximate accelerator architectures on FPGAs. This environment provides a set of tools and libraries that allow developers to quickly and easily explore different approximate computing techniques on FPGAs. ACE also provides a library of pre-defined approximate computing functions, which can be used to quickly create approximate accelerator architectures.

Overall, automated frameworks such as ACF, ACL, ACT, and ACE have made it easier for developers to explore approximate accelerator architectures on FPGAs. These frameworks provide a set of tools and libraries that allow developers to quickly and easily explore different approximate computing techniques on FPGAs. Additionally, these frameworks provide a library of pre-defined approximate computing functions, which can be used to quickly create approximate accelerator architectures. As such, these automated frameworks have become increasingly popular in recent years and are expected to continue to be used in the future.

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