This blog contains additional content for the article "Advanced Vectorization" from Parallel Universe #12:
Intel System Studio not only provides a variety of signal processing primitives via Intel® Integrated Performance Primitives (Intel® IPP), and Intel® Math Kernel Library (Intel® MKL), but also allows developing high-performance low-latency custom code (Intel C++ Compiler with Intel Cilk Plus). Since Intel Cilk Plus is built into the compiler, it can be used where it demands an efficient threading...
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.
Ayasdi deploys vertical applications that utilize Topological Data Analysis to extract value from large and complex data. The Ayasdi platform incorporates statistical, geometric, and machine-learning methods through a topological framework to more precisely segment populations, detect anomalies, and extract features. This paper describes how Ayasdi’s Analytics* running on systems equipped with...
Vectorization Advisor is like having a trusted friend look over your code and give you advice based on what he sees. As you’ll see in this article, user feedback on the tool has included, “there are significant speedups produced by following advisor output, I'm already sold on this tool!”
Learn practical tips for using the vectorization advisor, which is part of Intel® Advisor.
One of the Intel® Modern Code Developer Challenge winners, Daniel Falguera, describes many of the optimizations he implemented and why some didn't work.