Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
In this work we discuss a class of defect correction methods which is easily adapted to create parallel time integrators for multi-core architectures and is ideally suited for deve...
Andrew J. Christlieb, Colin B. Macdonald, Benjamin...
—Performance degradation of memory-intensive programs caused by the LRU policy’s inability to handle weaklocality data accesses in the last level cache is increasingly serious ...
In the past years Dynamic Voltage and Frequency Scaling (DVFS) has been an effective technique that allowed microprocessors to match a predefined power budget. However, as process...
In this paper, we investigate methods for improving the hit rates in the first level of memory hierarchy. Particularly, we propose victim cache structures to reduce the number of ...
Gokhan Memik, Glenn Reinman, William H. Mangione-S...