This webinar provides provides an overview of the available methods for profiling HPC applications.

This webinar covers: that the POP project and Zenotech undertook to investigate the performance of zCFD. An initial Performance Audit using Intel’s VTune Amplifier performance profiler identified several areas of potential improvement, which Zenotech went on to address in a POP Proof-of-Concept (PoC) study. As a result of the PoC, zCFD ran 3x faster on a representative input case.

This webinar covers: A short tour of the documentation of the new package; the installation guide; ‘Quick Start’ – solving an optimization problem; and gives further examples from maths and stats.

This talk will introduce how ITAC can help you understand MPI underperformance, describing a systematic way of using ITAC to identify and quantify sources of parallel inefficiency in MPI code.

The NAG Fortran Compiler was designed with a strong emphasis on correctness and adherence to the language standard, as well as providing additional features for modernising legacy codes. This webinar will show how the NAG Fortran Compiler can be used to write correct and performance portable code which is not always possible with other compilers.

This talk is aimed at anyone who wants an introduction to using VTune to understand the causes of OpenMP underperformance.

An impartial look at benchmarking of HPC systems by Andrew Jones (@hpcnotes), NAG VP Strategic HPC Consulting & Services.

Matrix Functions are playing an increasingly important role in science, finance and engineering. Dr Edvin Hopkins delivers this 30-minute webinar covering a variety of Matrix Functions related topics.

From our City Lecture event ‘Financial Time Series – Change Points, structural breaks, segmentations and other stories’ presented by Dr Rebecca Killick.

Learn how to calculate the Nearest Correlation Matrix in this 30 minute webinar presented by NAG expert Dr Craig Lucas. In the webinar he teaches how to deal with the issues in forming a nearest correlation matrix from read data

Learn about Algorithmic Differentiation (AD) with this webinar recording from numerical experts at NAG (Numerical Algorithms Group) who provide the world renowned NAG Library and HPC and Numerical Services including an AD Software Tool.

Part 2 briefly explains the Markowitz model as a method for obtaining portfolios that correspond to a given return with minimum risk, and presents demos.