Weather forecasting is a crucial aspect of modern life, enabling efficient planning and logistics, while also protecting life and property through timely warnings of severe conditions. But accurate, long-range weather prediction is extremely complex, often involving enormous data sets and requiring code that is optimized to leverage the most advanced computer hardware features available.
One of the Intel® Modern Code Developer Challenge winners, Daniel Falguera, describes many of the optimizations he implemented and why some didn't work.
Learn practical tips for using the vectorization advisor, which is part of Intel® Advisor.
Case study discusses Intel® Advanced Vector Extensions (Intel® AVX), gives an overview of Black-Scholes valuation.