—The performance bottleneck for many scientific applications is the cost of memory access inside linear algebra kernels. Tuning such kernels for memory efficiency is a complex ...
Nowadays, the use of machine learning methods for visual object detection has become widespread. Those methods are robust. They require an important processing power and a high mem...
To improve performance and reduce power, processor designers employ advances that shrink feature sizes, lower voltage levels, reduce noise margins, and increase clock rates. Howev...
George A. Reis, Jonathan Chang, Neil Vachharajani,...
This paper presents an approach for integrating fault-tolerance techniques into microprocessors by utilizing instruction redundancy as well as time redundancy. Smaller and smaller...
Dedicated operating systems for embedded systems are fast being phased out due to their use of manual optimization, which provides high performance and small footprint, but also r...