4 projects tagged "multi-core"
Updated 09 Dec 2012
FastFlow
| Pop | 120.10 |
|---|---|
| Vit | 6.20 |
FastFlow is a pattern-based programming framework targeting streaming applications. It implements pipeline, farm, divide and conquer, and their composition, as well as generic streaming networks. It is specifically designed to support the development and the seamless porting of existing applications on multi-core. The layered template-based C++ design ensures flexibility and extendibility. Its lock-free/fence-free run-time support minimizes cache invalidation traffic and enforces the development of high-performance (high-throughput, low-latency) scalable applications. It has been proven faster than TBB, OpenMP, and Cilk on several micro-benchmarcks and real-world applications, especially when dealing with fine-grained parallelism and high-throughput applications.
Updated 30 Jul 2012
btar
| Pop | 104.57 |
|---|---|
| Vit | 3.28 |
btar is a tar-compatible archiver which allows arbitrary compression and ciphering, redundancy, differential backup, indexed extraction, multicore compression, input and output serialisation, and tolerance to partial archive errors.
Updated 04 Feb 2012
WiredTiger
| Pop | 31.40 |
|---|---|
| Vit | 21.84 |
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.
Updated 07 Apr 2013
librsb
| Pop | 117.17 |
|---|---|
| Vit | 2.19 |
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.
