The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: EduHPC-25: Workshop on Education for High Performance Computing
Authors: Vivek Kumar (Indraprastha Institute of Information Technology)
Abstract: Conventional 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.
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