Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Bank locality can be defined as localizing the number of load/store accesses to a small set of memory banks at a given time. An optimizing compiler can modify a given input code t...
Guilin Chen, Mahmut T. Kandemir, Hendra Saputra, M...
As the desire of scientists to perform ever larger computations drives the size of today’s high performance computers from hundreds, to thousands, and even tens of thousands of ...
Using simulations of a complex system such as a Web Application Server provides us with a tool that allows the running of tests without using the resources needed in a real system...
Ramon Nou, Jordi Guitart, David Carrera, Jordi Tor...
New portable consumer embedded devices must execute multimedia and wireless network applications that demand extensive memory footprint. Moreover, they must heavily rely on Dynami...
David Atienza, Stylianos Mamagkakis, Francky Catth...