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, ...
Abstract--In the past ten years, the software aging phenomenon has been systematically researched, and recognized by both academic, and industry communities as an important obstacl...
Rivalino Matias, Pedro Alberto Barbetta, Kishor S....
A growing body of work has compiled a strong case for the single-ISA heterogeneous multi-core paradigm. A single-ISA heterogeneous multi-core provides multiple, differently-design...
Niket Kumar Choudhary, Salil V. Wadhavkar, Tanmay ...
Many-task computing aims to bridge the gap between two computing paradigms, high throughput computing and high performance computing. Many-task computing denotes highperformance co...
Ioan Raicu, Ian T. Foster, Mike Wilde, Zhao Zhang,...
Future CMPs will combine many simple cores with deep cache hierarchies. With more cores, cache resources per core are fewer, and must be shared carefully to avoid poor utilization...
Junli Gu, Steven S. Lumetta, Rakesh Kumar, Yihe Su...