We present a novel hybrid technique for improving the predictive performance of an online Machine Learning system: Combining advantages from both memory based and concept based pr...
Marcus-Christopher Ludl, Achim Lewandowski, Georg ...
Reuse distance (i.e. LRU stack distance) precisely characterizes program locality and has been a basic tool for memory system research since the 1970s. However, the high cost of m...
Xipeng Shen, Jonathan Shaw, Brian Meeker, Chen Din...
There has been intensive research on data prefetching focusing on performance improvement, however, the energy aspect of prefetching is relatively unknown. Our experiments show th...
Yao Guo, Saurabh Chheda, Israel Koren, C. Mani Kri...
The decrease in feature size and added chip functionality in large sub-micron integrated circuits demand larger grids for power distribution. Since power grids are performance lim...
This paper presents the Dynamic Simultaneous Multithreaded Architecture (DSMT). DSMT efficiently executes multiple threads from a single program on a SMT processor core. To accomp...