GPULib

GPULib is an incredibly helpful software that provides a library of mathematical functions that make it easier for users to access high performance computing resources available on modern graphics processing units (GPUs). This software is specially designed for engineers, analysts, scientists, and other technical professionals who need to perform numerical analysis but are not necessarily programmers.

For many users of numerical analysis, programming is a necessity rather than a choice. They would prefer to spend their time focusing on their domains of expertise but must still develop software to get their jobs done. On top of that, high performance computing adds complexity, which further limits their time to work in their areas of expertise. Fortunately, GPULib allows these users to get access to high performance computing with minimal changes to their existing programs.

GPULib, developed by Tech-X Corporation, provides bindings for numerous Very High Level Languages (VHLLs) such as MATLAB and IDL, making it easy for users to accelerate new applications or incorporate them into existing ones with minimal effort. The best part is that using GPULib requires no knowledge of memory management or GPU programming.

GPULib is based on NVIDIA's Compute Unified Device Architecture (CUDA) platform, which is supported by a wide range of NVIDIA products, including GeForce, Quadro, and Tesla cards. Overall, GPULib is an excellent software that can simplify high performance computing for users, especially those who are not necessarily programmers or experts in the field.