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[The memory hierarchy of a computer is a critical system component, impacting the system’s overall performance, energy consumption, and cost. As processors have become faster, the memory hierarchy has become deeper (i.e., more levels) to help bridge the speed, energy, and bandwidth gaps between...
[In information theory, the entropy of a source input is the amount of information contained in that data . Entropy determines the number of bits needed to optimally represent the original source data. Therefore, entropy sets an upper bound on the potential for compression. Low entropy...
[Caches have long been a critical component of the memory hierarchy. Early work focused on using caches to reduce effective access time or latency. Later, caches were also used to reduce required memory bandwidth. In modern multicore processor systems, where the memory hierarchy accounts for a...
[While data compression can increase the utilization of caches and make better use of on-chip resources, applying it to main memory can potentially increase main memory capacity substantially at a low cost. This is important for many reasons. First of all, in server installations a substantial...
[The exponential growth in the number of transistors per chip has led to a rapid increase in the number of cores on a microprocessor chip. However, the bandwidth across the chip boundary has not grown as quickly as either the transistor count or the core count. Cache compression can increase the...
[Data compression has been a subject of academic research and industrial development for decades, and has been widely deployed in long-haul communication networks and archival storage systems for many years. Conversely, it has only relatively recently been considered a reasonable possibility in...
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