kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
—This paper presents a tool for exploring different parallelization options for an application. It can be used to quickly find a high-quality match between an application and a ...
Rogier Baert, Erik Brockmeyer, Sven Wuytack, Thoma...
This paper presents a multiprocessor system on FPGA that adopts Direct Memory Access (DMA) mechanisms to move data between the external memory and the local memory of each process...
Partial Scan techniques have been widely accepted as an effective solution to improve sequential ATPG performance while keeping acceptable area and performance overheads. Several ...
Fulvio Corno, Paolo Prinetto, Matteo Sonza Reorda,...
Today's fast-growing data-intensive network services place heavy demands on the backend servers that support them. This paper introduces ISTORE, an intelligent server archite...
Aaron B. Brown, David L. Oppenheimer, Kimberly Kee...