Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Tuning Technique for Multiple Precision Dense Matrix Multiplication
  using Prediction of Computational Time   Although reliable long precision floating-point arithmetic libraries such as
QD and MPFR/GMP are necessary to solve ill-conditioned problems in numerical
simulation, long precision BLAS-level computation such as matrix multiplication
has not been fully optimized because tuning costs are very high compared to
IEEE float and double precision arithmetic. In this study, we develop a
technique to shorten this tuning time by using prediction of computational
times in several block sizes for the blocking algorithm, and then selecting the
fastest matrix multiplication method for tuning multiple precision dense real
matrix multiplication in various precisions, matrix sizes, and degrees of
parallelization.

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The categories of this paper are: q-bio
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The categories of this paper are: astro-ph
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The categories of this paper are: nlin
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The categories of this paper are: ao-sci
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The categories of this paper are: physics
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The categories of this paper are: nucl-th
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The categories of this paper are: supr-con
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The categories of this paper are: q-alg
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The categories of this paper are: hep-th
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The categories of this paper are: stat
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The categories of this paper are: hep-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: q-fin
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The categories of this paper are: nucl-ex
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The categories of this paper are: eess
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The categories of this paper are: adap-org