WiredTiger is an extensible platform for data management. Its storage engine is optimized for high-throughput, big data applications. It can be configured for write-optimized (row-store) or read-optimized (column-store) access, as well as a hybrid of both. It separates the on-disk and in-memory representations of data, leading to a simpler, more compact file format and a large block I/O tailored for modern storage systems.
librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache-efficient and multithreaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available (matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction/setting, blocks extraction, norm computation, formats conversion). The RSB format is especially well-suited for symmetric and transposed multiplication variants. On these variants, librsb has been found to be faster than Intel MKL's implementation for CSR. Most numerical kernels code is auto-generated, and the supported numerical types can be chosen by the user at buildtime. librsb implements the Sparse BLAS standard, as specified in the BLAS Forum documents.