NCT-100 Programming Multicore Processors

Software architects, software developers, software team leaders and managers seeking to understand and implement efficient software running on multicore processors. Knowledge of the C programming language and C software development experience is a pre-requisite for this course.

• A comprehensive training workshop: This course offers an in-depth overview of fundamental concepts while offering advanced training and practical advice on C/ C programming of multicore processors using modern methods.
• Gain critical insights on how to improve your software's performance: This course is designed to give you key skills and using specialized tools to help you to correctly architect, design and develop efficient parallel applications for multicore processors.
• Additional hands-on learning: This course provides laboratory sessions in writing and debugging multithreaded programs and excercises on practical parallelization of legacy software. It also includes walk-through laboratory exercises designed to increase your understanding of multithreading.

• In-depth theoretical background covering multicore processor architecture, concurrent programming, parallel programming concepts and considerations.
• Critical concepts such as implicit and explicit parallelism, atomicity, synchronization, shared memory, cache coherency, Ahmdal's Law, Flynn's processor classifications and Little's law are covered in-depth.
• Recognize the best parallelism opportunities and explain the advantages of using threads to obtain concurrency using various analysis techniques, compositional approaches and parallel design patterns.
• How to avoid synchronization pitfalls such as starvation, deadlock, live lock and data races.
• How to implement and tune parallel algorithms.
• Define and use different synchronization methods effectively including mutexes/ critical sections and conditional variables.
• Explain operating system interactions and the relationship between shared memory and threads.
• Explain what aspects of the operating system affect programming, how to deal with shared memory effectively, CPU selection, CPU-specific binding of threads, thread specific data and kernel-level scheduling.
• Understand and use threads with specific technologies and programming methods such as the Windows API, POSIX Pthreads, Intel TBB and OpenMP using C/ C and the Intel Compiler.
• Hands on experience with the Intel Compiler to build and run multithreaded programs during the hands-on learning laboratories and case studies.
• Best practices to deal with MT-unsafe libraries and how to write new thread-safe libraries.