3 papers:
HPDC-2014-WuC #fault #named #online- FT-ScaLAPACK: correcting soft errors on-line for ScaLAPACK cholesky, QR, and LU factorization routines (PW, ZC), pp. 49–60.
ICML-c2-2013-Tran-DinhKC #framework #graph #learning #matrix- A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions (QTD, ATK, VC), pp. 271–279.
SAC-2000-LeeKHL #dependence #graph #scheduling #using- Task Scheduling using a Block Dependency DAG for Block-Oriented Sparse Cholesky Factorization (HL, JK, SJH, SL), pp. 641–648.
