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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.
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
Libra SDK examples :
www.gpusystems.com/code_examples.aspx
Download Libra SDK :
www.gpusystems.com/download.aspx
Libra SDK Tutorial 1 : www.gpusystems.com/doc/LibraGenericComputing.pd[…]