Parallware Trainer: Interactive Tool for Experiential
Learning of Parallel Programming Using OpenMP and OpenACC
Author/Presenters
Event Type
Workshop
Education
TimeMonday, November 13th11:30am -
11:50am
Location505
DescriptionSTEM education plays a key role in the sustained growth
and stability of the US economy and worldwide. There is
currently a shortage of a skilled STEM workforce, and
that gap is expected to grow widely in the next decade.
It is key to widen the audience of STEM people trained
in parallel programming targeting parallel architectures
like Intel Xeon, IBM Power, NVIDIA GPU and Intel Xeon
Phi. In this regard, the standards OpenMP 4.5 and
OpenACC 2.5 offer pragma-based parallel programming
paradigms that promise performance portability and
higher productivity.
This paper presents Parallware Trainer, a new interactive tool for high-productivity STEM education and training in parallel programming using OpenMP 4.5 and OpenACC 2.5. It enables experiential learning by providing an interactive, real-time GUI with editor capabilities to assist in the design, implementation and benchmarking of OpenMP/OpenACC-enabled parallel code. We envision Parallware Trainer as a key enabler for STEM education from PhD down to undergraduate in computer science, maths, physics,.... This paper also describes a success story resulting from a GPU Hackathon organized at the Supercomputing Center of Galicia (CESGA). We present the progress of a 2-people team of the EDANYA group learning how to address the parallelization of a simulation code for prediction of tsunamis used by the National Oceanic and Atmospheric Administration (NOAA).
This paper presents Parallware Trainer, a new interactive tool for high-productivity STEM education and training in parallel programming using OpenMP 4.5 and OpenACC 2.5. It enables experiential learning by providing an interactive, real-time GUI with editor capabilities to assist in the design, implementation and benchmarking of OpenMP/OpenACC-enabled parallel code. We envision Parallware Trainer as a key enabler for STEM education from PhD down to undergraduate in computer science, maths, physics,.... This paper also describes a success story resulting from a GPU Hackathon organized at the Supercomputing Center of Galicia (CESGA). We present the progress of a 2-people team of the EDANYA group learning how to address the parallelization of a simulation code for prediction of tsunamis used by the National Oceanic and Atmospheric Administration (NOAA).
