This standard specifies interchange and arithmetic formats and methods for binary and decimal floating-point arithmetic in computer programming environments. This standar...Show More Scope:This ...

Abstract: Posit numeric format is getting more and more attention in recent years. Its tapered precision makes it especially suitable in many applications including deep learning computation. However, ...

Guaranteed-Quality Anisotropic Mesh Generation. If you're in Soda Hall, you'll find copies of most of my papers hanging outside my office (625). Take the ones you want. FAR AND AWAY MY MOST POPULAR ...

(Building) models are widely different depending on modeller, phase, intended use, software application and version. Conventional BRep and Mesh geometry libraries can have robustness issues coming ...

One of the most famous performance models used in HPC is the Roofline model. During courses I was asked often how to derive empirical Roofline models with LIKWID. An empirical Roofline model presents ...

Deep neural networks (DNNs) have revolutionized the field of artificial intelligence and have achieved unprecedented success in cognitive tasks such as image and speech recognition. Training of large ...

In a previous work we have detailed the requirements for obtaining maximal deep learning performance benefit by implementing fully connected deep neural networks (DNN) in the form of arrays of ...