“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 ...

IBM has entered into a definitive agreement to acquire Storwize, a privately held company based in Marlborough, Mass. Storwize provides real-time data compression technology to help clients reduce ...

Optimizing data compression methods has become more critical than ever for cloud storage, data management, and streaming applications. Working with compressed data reduces network bandwidth, data ...

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 ...

A novel technique rethinks hardware data compression to free up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks simultaneously. A novel technique ...

Compression is the science of making data representations smaller, in order to decrease the data's bandwidth and storage requirements. Compression applications are everywhere: in computers (WinZip and ...

Oblique photography technology serves as a crucial data source for Geographic Information Systems (GIS) and Digital Twins, with extensive application prospects in urban planning, infrastructure ...

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 ...

OK, so it’s one week to Christmas and I have to resort to a holiday theme of some sort. Things are a bit laid back this year. Our family has resorted to the Secret Santa thing to reduce the number of ...