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, ...
With technology scaling, manufacture-time and in-field permanent faults are becoming a fundamental problem. Multi-core architectures with spares can tolerate them by detecting an...
Shuou Nomura, Matthew D. Sinclair, Chen-Han Ho, Ve...
Background Providers have been reluctant to disclose patient data for public-health purposes. Even if patient privacy is ensured, the desire to protect provider confidentiality h...
Khaled El Emam, Jun Hu, Jay Mercer, Liam Peyton, M...
Recent research on memory disaggregation introduces a new architectural building block—the memory blade—as a cost-effective approach for memory capacity expansion and sharing ...
Kevin T. Lim, Yoshio Turner, Jose Renato Santos, A...
The deluge of huge data sets such as those provided by
sensor networks, online transactions, and the web provide
exciting opportunities for data analysis. The scale of the
data ...