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