Trajectory data compression and simplification techniques have emerged as essential tools for managing the ever‐increasing volumes of spatio‐temporal data generated by GPS devices and other ...
Pangenomics studies generate huge amounts of data. A new data compression method could make pangenomic analysis accessible to ...
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 ...
“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 ...
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 ...
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 ...
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 ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
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