Generic Accelerated Computing with Libra SDK

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Libra SDK is a highly sophisticated runtime including API, sample programs and documentation for massively accelerating software computations. This introduction tutorial will provide an overview and usage examples of the powerful Libra API & math libraries executing on x86/x64, OpenCL, OpenGL and CUDA technology. Libra API enables generic and portable CPU/GPU computing within software development without the need to create multiple, specific and optimized code paths to support x86, OpenCL, OpenGL or CUDA devices.”

Key Libra Facts

 Unleash the Teraflop performance of CPUs and GPUs and future compute accelerators using a single standard programming API to access compute resources.

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 Libra API enable heteregeneous computing access through highlevel programming languages, C/C++ and matlab.

 Develop code once, deploy on numerous CPU and GPU devices to execute on a broad range of chip manufacturers.

 Enable more application performance with less code compared to hardware specific low level APIs, easier to maintain applications & algorithms and faster time to product releases – no need to learn new tools or programming languages.

About GPU Systems GPU Systems is a software technology company focusing on enabling the next generation of compute technologies & APIs using current and future hardware architectures. For more information, visit www.gpusystems.com