… to deal with the four issues (large working sets, strides … is a software technique that can be
used for any cache memory in … Fortran 77 compiler using the most aggressive optimizations …

… optimizing cache performance for the matching problem. We use the technique of making
the algorithm initially work on … A large amount of cache pollution will increase the bandwidth …

… This procedure of mining historical data is totally offline … blocks once cached so that they
should not be replaced as long as … We have developed a data set generator application DBGEN …

… is that they tend to operate on large data sets. A cache may only be able to hold a small …
This technique, when applicable, can bound the cache misses to a factor of two of the ideal. …

… a large amount of data that has been fetched and cached into query cache memory, in this
case, these methods … given by work [size-based cache], we can overcome this cache pollution …

… tor’s instruction working set is fetched into the cache, we can maxi… rate as long as the size of
the actor’s instruction working set is … in a smaller live data set when the actor is not executing. …

… mathematical model for making caching decisions that minimize the expected total work, ie,
… is a ubiquitous technique, widely applied in machine learning and data mining applications […

… to use cache mechanism efficiently to optimize computational … processing of extremely large
data sets in the form of clusters … cache manager before processing the actual computing work…

… Data caching in computing is a universal technique that … benefit of caching popular data
requested by a large number of … capacity constraints will be studied in our future work. It will not …

… of programs optimized with cache-conscious data placement, … large procedures especially
if they are larger than the cache. … Table 1 shows the two data sets we used in gathering results …