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LIBRSB: Journey from PhD By-product to universally usable Sparse Linear Algebra Library

Authors: Martone, Michele;

LIBRSB: Journey from PhD By-product to universally usable Sparse Linear Algebra Library

Abstract

I will tell you the history of LIBRSB. What started almost as a joke, grew into a reusable fruit of my PhD experience and my longest-running professional project. LIBRSB served as laboratory for my experimentation, maturing at once into both a cookbook and at times, a pot of code smells. A journey between PhD goals and non-goals, chasing chimerae and best practices, driven by a passion for free software at the service of science. I will describe the context around LIBRSB and share some valuable lessons learnt.Orthogonal to the goals of the talk, but fundamental to know: LIBRSB is a 100KLOC-heavy HPC library for shared memory-parallel sparse matrix computations. It works in most of the programming languages for numerical computing.

Keywords

sparse matrix, BLAS, Octave, HPC, spmv, OpenMP, Sparse BLAS, RSB, LIBRSB, Python, RSE

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selected citations
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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).
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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.
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