Mark Kittisopikul, Ph.D.
I am a Software Engineer II in Scientific Computing at the Janelia Research Campus of the Howard Hughes Medical Institute. My stated opinions are my own and not of my employer.
I earned my PhD at UT Southwestern Medical Center studying Molecular Biophysics. I have done postdoctoral work in Cellular Biology.
I enjoy cycling and being a parent.
Sessions
ArrayAllocators.jl uses the standard array interface to allow faster zeros with calloc, allocation on specific NUMA nodes on multi-processor systems as well as aligned memory. The allocators are given as an argument to Array{T} in place of undef. Overall, this allows Julia to match the allocation performance of popular numerical libraries such as NumPy, which uses some of these techniques.
In this talk, we will also explore some of the unexpected properties of these allocation methods.