Vitis™ Unified Software Platform includes an extensive set of open-source, performance-optimized libraries that offer out-of-the-box acceleration with minimal to zero-code changes to your existing applications.
Use Vitis accelerated-libraries in commonly-used programming languages that you know like C, C++, and Python. Leverage AMD platforms as an enabler in your applications – Work at an application level and focus your core competencies on solving challenging problems in your domain, accelerate time to insight, and innovate.
Whether you want to accelerate portions of your existing x86 host application code or want to develop accelerators for deployment on AMD embedded platforms, calling a Vitis accelerated-library API or Kernel in your code offers the same level of abstraction as any software library.
Vitis accelerated-libraries are accessible to all developers through GitHub and scalable across all AMD platforms. Develop your applications using these optimized libraries and seamlessly deploy across AMD platforms at the edge, on-premise or in the cloud without having to reimplement your accelerated application.
For rapid prototyping and quick evaluation of the benefits AMD can bring to your applications, you can use them as plug-and-play accelerators, called directly as an API in the user application for several workloads like Computer Vision and Image Processing, Quantitative Finance, Database, and Data Analytics among others.
To design custom accelerators for your application, use Vitis library functions as optimized algorithmic building blocks, modify them to suit your specific needs, or use them as a reference to completely design your own. Choose the flexibility you need!
Combine domain-specific Vitis libraries with pre-optimized deep learning models from the Vitis AI library or the Vitis AI development kit to accelerate your whole application and meet the overall system-level functionality and performance goals.
Accelerate premium medical imaging on Versal™ devices with AI engines, while delivering frame rates upwards of 1,000 FPS with low latency.
Accelerating DSP functions on Versal™ AI Engines such as filters, FFt/iFFT, matrix multiply, widget API cast, widget real to complex, and DDS/Mixer.
Accelerate common linear algebra operations in your algorithms using performance optimized BLAS routines.
Accelerate a broad range of data compression and decompression algorithms on AMD platforms.
Accelerate AI inference using a set C++ and Python APIs and pre-optimized deep learning models to achieve highest inference performance for your applications.
Accelerate a broad range of applications using performance-optimized solvers and matrix factorizations on AMD platforms.
Accelerate a range of quantitative finance workloads such as options-pricing, modeling, trading, evaluation, and risk management.
Accelerate data-intensive and compute-intensive algorithms in relational database management on AMD platforms.
Develop and deploy accelerated computer vision and image processing algorithms for ADAS, video surveillance, data center, etc. on AMD platforms.
Achieve low-latency real-time performance for your security applications using AMD platforms.
First Vitis blockchain mining acceleration solution to power-efficient FPGA-based mining. Outperform the most efficient mining card with 2x mining performance/watt over GPUs.
Explore the rich ecosystem of Partner IPs, Libraries and Pre-built Accelerated Applications for AMD platforms.
Click on the button to access all the libraries documentation on Github.