HDF5.jl is a Julia package for reading and writing data using the Hierarchical Data Format version 5 (HDF5) C library. HDF5 is a flexible, self-describing format suitable for storing complex scientific data, and is used as a container for many other formats. This talk will give an overview of the HDF5 format and give an introduction and examples of basic usage of the HDF5.jl package. We will highlight some recent features and discuss future plans for the package.

Understanding the performance of parallel code is tricky, however Julia can make it even more opaque: with asynchronous tasks, multithreading, distributed computing, garbage collection, GPU support and calls to many external libraries, getting a full understanding of what your code is doing can be rather complicated. This talk will describe how to use Nvidia Nsight Systems to understand what your parallel Julia code is doing.