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LLAMA: The Low-Level Abstraction of Memory Access

Authors: Gruber, Bernhard Manfred; Widera, René; Matthes, Alexander;

LLAMA: The Low-Level Abstraction of Memory Access

Abstract

LLAMA is a cross-platform C++17/C++20 header-only template library for the abstraction of data layout and memory access. It separtes the view of the algorithm on the memory and the real data layout in the background. This allows for performance portability in applications running on heterogeneous hardware with the very same code.

If you use this software, please cite it using the metadata from this file.

Keywords

memory layout, data layout, HPC, memory access, heterogeneous computing, C++, performance portability

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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