Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks   Attention mechanisms, primarily designed to capture pairwise correlations
between words, have become the backbone of machine learning, expanding beyond
natural language processing into other domains. This growth in adaptation comes
at the cost of prohibitively large memory requirements and computational
complexity, especially at higher number of input elements. This limitation is
due to inherently limited data reuse opportunities and quadratic growth in
memory footprints, leading to severe memory-boundedness and limited scalability
of input elements. This work addresses these challenges by devising a tailored
dataflow optimization, called FLAT, for attention mechanisms without altering
their functionality. This dataflow processes costly attention operations
through a unique fusion mechanism, transforming the memory footprint quadratic
growth to merely a linear one. To realize the full potential of this bespoke
mechanism, we propose a tiling approach to enhance the data reuse across
attention operations. Our method both mitigates the off-chip bandwidth
bottleneck as well as reduces the on-chip memory requirement. Across a diverse
range of models, FLAT delivers 1.94x (1.76x) speedup and 49% and (42%) of
energy savings compared to the state-of-the-art edge (cloud) accelerators with
no customized dataflow optimization. Our evaluations demonstrate that
state-of-the-art DNN dataflows applied to attention operations reach the
efficiency limit for inputs above 512 elements. In contrast, FLAT unblocks
transformer models for inputs with up to 64 K elements in edge and cloud
accelerators.

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The categories of this paper are: plasm-ph
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The categories of this paper are: astro-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: math-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: dg-ga
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The categories of this paper are: cmp-lg
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The categories of this paper are: quant-ph
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The categories of this paper are: q-bio
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The categories of this paper are: acc-phys
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The categories of this paper are: stat
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The categories of this paper are: econ
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The categories of this paper are: supr-con
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The categories of this paper are: q-fin
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The categories of this paper are: math
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The categories of this paper are: adap-org