Pangenomics studies generate huge amounts of data. A new data compression method could make pangenomic analysis accessible to ...

Engineers at the University of California have developed a new data structure and compression technique that enables the ...

“Irregular applications, such as graph analytics and sparse linear algebra, exhibit frequent indirect, data-dependent accesses to single or short sequences of elements that cause high main memory ...

Information theory provides the fundamental framework for understanding and designing data compression algorithms. At its core lies the concept of entropy, a quantitative measure that reflects the ...

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

Meta has announced the OpenZL compression framework, which achieves high compression rates while maintaining high speed. By building dedicated compression programs optimized for specific formats, it ...

With more and more embedded systems being connected, sending state information from one machine to another has become more common. However, sending large packets of data around on the network can be ...

Compression is a well-known technical indicator. It turns out that it improves entries into most trend systems. It can be used to increase position size when it occurs. To find out how compression ...