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Parallel Computing 101
DescriptionThis tutorial provides a comprehensive overview of parallel computing, emphasizing those aspects most relevant to the user. It is suitable for new users, students, managers, and anyone seeking an overview of parallel computing. It discusses software and hardware/software interaction, with an emphasis on standards, portability, and systems that are widely available.
The tutorial surveys basic parallel computing concepts, using examples selected from multiple engineering, scientific, and machine learning problems. These examples illustrate using MPI on distributed memory systems; OpenMP on shared memory systems; MPI+OpenMP on hybrid systems; and CUDA and compiler directives on GPUs and accelerators. It discusses numerous parallelization and load balancing approaches, and software engineering and performance improvement aspects, including the use of state-of-the-art tools.
The tutorial helps attendees make intelligent decisions by covering the primary options that are available, explaining how the different components work together and what they are most suitable for. Extensive pointers to web-based resources are provided to facilitate follow-up studies.
The tutorial surveys basic parallel computing concepts, using examples selected from multiple engineering, scientific, and machine learning problems. These examples illustrate using MPI on distributed memory systems; OpenMP on shared memory systems; MPI+OpenMP on hybrid systems; and CUDA and compiler directives on GPUs and accelerators. It discusses numerous parallelization and load balancing approaches, and software engineering and performance improvement aspects, including the use of state-of-the-art tools.
The tutorial helps attendees make intelligent decisions by covering the primary options that are available, explaining how the different components work together and what they are most suitable for. Extensive pointers to web-based resources are provided to facilitate follow-up studies.
Event Type
Tutorial
TimeSunday, 12 November 20238:30am - 5pm MST
Location201
Algorithms
Heterogeneous Computing
Message Passing
TUT