STUDENTS ONLY: Learn the fundamentals of Machine Learning, Deep Learning & Artificial Intelligence.
HOW Series “Deep Dive” is a free 20-hour hands-on training on parallel programming, performance optimization in computational applications on IA.
These free webinars cover today’s hot topics, such as machine learning, deep learning, artificial intelligence (AI), and high-performance computing. Learn tips and techniques including vectorization, code migration, code optimization, advanced threading, and error checking.
Find out how Julia is fast becoming a language of choice for high-performance and high-scalability applications in Deep Learning.
Find out how Intel® TBB can help you address the multi-core performance challenges of today’s heterogeneous compute landscape. Easily.
Using the OpenMP* programming model, we’ll work on and optimize sample multi-threaded code, and illustrate best practices for efficiency and speed ups.
Intel engineers will describe implementation of Parallel STL—the C++ Standard Template Library—based on OpenMP* pragmas & the Intel® TBB library.
Explore HPC performance characterization analysis to gain actionable insight into how efficiently compute-intensive applications use system resources.
We’ll show a workflow for finding bottlenecks and demonstrate an effective method for implementing improvements … no complex software necessary.
Get expert tips for using Intel® Cluster Checker to verify system functionality.