Sparse supernodal solver using block low-rank compression: Design, performance and analysis

•Introduction of block low-rank compression in PaStiX sparse supernodal solver.•Development of a Minimal Memory strategy reducing the memory footprint of the solver.•Development of a Just-In-Time strategy focusing on reducing time-to-solution.•Analysis of performance, complexity, scalability and impact of several parameters.