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Eberron Campaign Guide ― July 2009: Guide for a dungeon master to run the Eberron setting under the 4th Edition Dungeons & Dragons rules, providing the campaign specific rules and details on the continent of Khorvaire and the rest of the world of Eberron. It is designed to be used with other Eberron products, but is not required.
A disk compression software utility increases the amount of information that can be stored on a hard disk drive of given size. Unlike a file compression utility, which compresses only specified files—and which requires the user to designate the files to be compressed—an on-the-fly disk compression utility works automatically through resident software without the user needing to be aware of ...
Compression speed is 250 MB/s and decompression speed is 500 MB/s using a single core of a circa 2011 "Westmere" 2.26 GHz Core i7 processor running in 64-bit mode. The compression ratio is 20–100% lower than gzip. [5] Snappy is widely used in Google projects like Bigtable, MapReduce and in compressing data for Google's internal RPC systems.
Volo's Guide to the Dalelands details the Dalelands, with its guide Volo taking readers from Daggerdale in the North through to the High Dale in the South. [14] Volo's rating system goes by five pipes or tankards to indicate a top tavern, five coins to mean high prices, and five daggers a dangerous place to hang out. [14]
By reducing the I/O activity caused by paging requests, virtual memory compression can produce overall performance improvements. The degree of performance improvement depends on a variety of factors, including the availability of any compression co-processors, spare bandwidth on the CPU, speed of the I/O channel, speed of the physical memory, and the compressibility of the physical memory ...
Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:
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In both lossy and lossless compression, information redundancy is reduced, using methods such as coding, quantization, DCT and linear prediction to reduce the amount of information used to represent the uncompressed data. Lossy audio compression algorithms provide higher compression and are used in numerous audio applications including Vorbis ...