Search Results for "high performance computing"

RocksDB uses a log structured database engine, written entirely in C++, for maximum performance. Keys and values are just arbitrarily-sized byte streams. RocksDB is optimized for fast, low latency storage such as flash drives and high-speed disk drives. RocksDB exploits the full potential of high read/write rates offered by flash or RAM. RocksDB is adaptable to different workloads. From database storage engines such as MyRocks to application data caching to embedded workloads, RocksDB can be used for a variety of data needs. ...

...Curve is a modern storage system developed by netease, currently supporting file storage(CurveFS) and block storage(CurveBS). Now it's hosted at CNCF as a sandbox project. The performance, mixed, capacity cloud disk or persistent volume of virtual machine/container, and remote disks of physical machines. High-performance separation of storage and computation architecture: high-performance and low latency architecture based on RDMA+SPDK, supporting the separation deployment structure of various databases such as MySQL and Kafka.

BCM is a high-performance file compressor that utilizes advanced context modeling techniques to achieve a very high compression ratio. All in all, it's like a big brother of the BZIP2.

This project has been moved to https://github.com/inikep/XWRT XWRT (XML-WRT) is a high-performance XML compressor (it also works with textual files). It transforms XML to more compressible form and uses zlib (default), LZMA, PPMd, or lpaq6 as back-end compressor. It is similar to XMill, but has many improvements.

TCache is high performance key/value storage component. It can be easily plugged into any existing high-performance, distributed memory object caching systems such as MemcacheD or Dynamo, speeding up dynamic web applications by reducing database load

(Production/Stable) High performance multithreaded enterprise solution. Generates 64 bit file CRC snapshots. Uses SQL database for advanced analysis. Suitable for finding duplicate, modified, added, and deleted files across multiple computers and disks.

Latis is a distributable storage engine for the semantic web. We plan to build a cross-platform, high-performance server that enables users to build private clouds which are protocol-compatible with popular web service offerings from Google & Amazon.

RingFS is a network distributed file system which is fault tolerant and has no centralized meta-data store. It spreads data over network storage servers and provides single namespace. The design of RingFS aims to build a huge data storage with redundancy, linear performance increase with rock-solid stability.