Compression is ubiquitous in consumer electronics. Modern compression algorithms exploit the limitations of human hearing and vision to offer compression ratios from 4:1 for speech and more than 30:1 ...

“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 ...

Fuzzy transforms (F-transforms) are a class of fuzzy approximation methods that utilise fuzzy partitions to represent and reconstruct functions through a collection of weighted average values. By ...

Efficient data compression and transmission are crucial in space missions due to restricted resources, such as bandwidth and storage capacity. This requires efficient data-compression methods that ...

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 ...

Compression, as the name implies, squeezes or “compresses” the size of a file or data set. Compression techniques are used for voice, video, audio, text, and program data in hundreds of different ...

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...

Many of today's embedded systems are providing more sophisticated solutions to a wide variety of applications and industries. With this increase in sophistication, there is a corresponding increase in ...

IBM has entered into a definitive agreement to acquire Storwize, a privately held provider of real-time data compression technology. Storwize, based in Marlborough, Mass., builds solutions intended to ...

In the ever-evolving landscape of data centers, Total Cost of Ownership (TCO) remains a critical metric. It encompasses all costs associated with data center infrastructure throughout its lifecycle, ...

The “data deluge” is as familiar to IT professionals as it is cliché, but what we are encountering today is very different. Will our typical response be enough? Often hyped, the data deluge has been ...