The Math SIG hosts discussions and presentations for fundamental mathematical routines for use in high-performance computing, engineering, financial and other applications. Functionality that is covered may include dense linear algebra, sparse linear algebra, discrete Fourier transforms, random number generators, summary statistics and vector math. In addition to domain-specific functionality, the Math SIG may also discuss overall design features like the execution model, memory model, or error handling. At times, the open source oneMKL Interfaces project, which is an implementation of the oneMKL specification, may also be discussed.
The Math SIG is led by Sarah Knepper.
To find out how to join the Math SIG get in touch.