hugo-cwpearson/content/talk/20200311sandia/index.md

title, event, event_url, location, address, summary, abstract, date, date_end, all_day, publishDate, authors, tags, featured, image, links, url_code, url_pdf, url_slides, url_video, slides, projects, math

title	event	event_url	location	address	summary	abstract	date	date_end	all_day	publishDate	authors	tags	featured	image	links	url_code	url_pdf	url_slides	url_video	slides	projects	math
Optimizing Communication for CPU/GPU Nodes	Sandia National Labs Seminar		Sandia National Labs	street city region postcode country Albuquerque, NM USA	Optimizing Multi-GPU Stencil Communication	High-performance distributed computing systems increasingly feature nodes that have multiple CPU sockets and multiple GPUs. The communication bandwidth between those components depends on the underlying hardware and system software. Consequently, the bandwidth between these components is non-uniform, and these systems can expose different communication capabilities between these components. Optimally using these capabilities is challenging and essential consideration on emerging architectures. This talk starts by describing the performance of different CPU-GPU and GPU-GPU communication methods on nodes with high-bandwidth NVLink interconnects. This foundation is then used for domain partitioning, data placement, and communication planning in a CUDA+MPI 3D stencil halo exchange library.	2020-03-11T00:00:00Z	2020-03-11T00:00:00Z	false	2020-03-13T00:00:00Z	Carl Pearson		true	caption focal_point Right							stencil_library	true