Due to the ever-widening performance gap between processors and disks, I/O operations tend to become the major performance bottleneck of data-intensive applications on modern clus...
Yifeng Zhu, Hong Jiang, Xiao Qin, Dan Feng, David ...
In this paper we investigate protocols for scheduling applications that consist of large numbers of identical, independent tasks on large-scale computing platforms. By imposing a ...
Barbara Kreaseck, Larry Carter, Henri Casanova, Je...
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
Matching life science ontologies to determine ontology mappings has recently become an active field of research. The large size of existing ontologies and the application of comple...
Anika Gross, Michael Hartung, Toralf Kirsten, Erha...
Multiprocessors are now commonplace, and cloud computing is swiftly following suit. While it is possible to write high performance code for these systems, concurrency bugs are ext...