Presentation
Teaching Task-Based Parallel Programming with a Runtime Systems-Aware Perspective
DescriptionConventional parallel programming using explicit multithreading over modern multicore processors imposes significant complexity in organizing and balancing work across threads. Task-based models simplify parallel programming using runtimes that handle task scheduling and resource management, improving scalability and reducing developer effort.
This paper presents the structure and experiences of teaching the Parallel Runtimes for Modern Processors course (PRMP) at IIIT Delhi. The course introduces a basic task-based parallel programming model in the async–finish style. Students implement this programming model together with a general-purpose dynamic load-balancing runtime system. As the course advances, students gradually improve both the parallel programming model and the runtime to overcome limitations and challenges of modern processor architectures. We conclude with a qualitative and quantitative evaluation of the three offerings of PRMP to date, showing that the course has significantly improved student's understanding of how to write and execute parallel programs effectively.
This paper presents the structure and experiences of teaching the Parallel Runtimes for Modern Processors course (PRMP) at IIIT Delhi. The course introduces a basic task-based parallel programming model in the async–finish style. Students implement this programming model together with a general-purpose dynamic load-balancing runtime system. As the course advances, students gradually improve both the parallel programming model and the runtime to overcome limitations and challenges of modern processor architectures. We conclude with a qualitative and quantitative evaluation of the three offerings of PRMP to date, showing that the course has significantly improved student's understanding of how to write and execute parallel programs effectively.
Event Type
Workshop
TimeSunday, 16 November 20259:35am - 9:50am CST
Location261