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, ...
It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore th...
Recent advances in device technology and connectivity have paved the way for next generation applications that are data-driven, where data can reside anywhere, can be accessed at ...
Performance projections of High Performance Computing (HPC) applications onto various hardware platforms are important for hardware vendors and HPC users. The projections aid hard...
Sameh Sharkawi, Don DeSota, Raj Panda, Rajeev Indu...
Various studies have shown that OS jitter can degrade parallel program performance considerably at large processor counts. Most sources of system jitter fall broadly into 5 catego...