The performance of High Performance Computing (HPC) applications become increasingly bound by the access latency of main memory. That is why strategies to minimize accesses to memory and maximize the use of the caches are crucial for any serious HPC application. There is lots of research on the topic of trivial rectangular grids, like using SIMD (single instruction multiple data) instructions, to operate on multiple values at once, or cache blocking techniques, which try to divide the grids into chunks, which fit into the cache. Additionally, there are new interesting techniques for minimizing loads in stencil computations like vector folding. This thesis will take a look at the theoretical performance benefits, especially vector folding in conjunction with an icosahedral grid, and test them in a simple test case. As a result the performance improved slightly in comparison over traditional vectorization techniques.

@misc{VFFIESMT18,
	author	 = {Jonas Tietz},
	title	 = {{Vector Folding for Icosahedral Earth System Models}},
	advisors	 = {Nabeeh Jumah and Julian Kunkel},
	year	 = {2018},
	month	 = {03},
	school	 = {Universität Hamburg},
	howpublished	 = {{Online \url{https://wr.informatik.uni-hamburg.de/_media/research:theses:jonas_tietz_vector_folding_for_icosahedral_earth_system_models.pdf}}},
	type	 = {Bachelor's Thesis},
	abstract	 = {The performance of High Performance Computing (HPC) applications become increasingly bound by the access latency of main memory. That is why strategies to minimize accesses to memory and maximize the use of the caches are crucial for any serious HPC application. There is lots of research on the topic of trivial rectangular grids, like using SIMD (single instruction multiple data) instructions, to operate on multiple values at once, or cache blocking techniques, which try to divide the grids into chunks, which fit into the cache. Additionally, there are new interesting techniques for minimizing loads in stencil computations like vector folding. This thesis will take a look at the theoretical performance benefits, especially vector folding in conjunction with an icosahedral grid, and test them in a simple test case. As a result the performance improved slightly in comparison over traditional vectorization techniques.},
}