This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Abstract. Many embedded systems use single-chip microcontrollers which have no on-chip RAM. In such a system, the processor registers must hold all live data values. Nanocontroller...
Shashi Deepa Arcot, Henry G. Dietz, Sarojini Priya...
Thread-level speculation (TLS) allows potentially dependent threads to speculatively execute in parallel, thus making it easier for the compiler to extract parallel threads. Howeve...
Software pipelining is a critical optimization for producing efficient code for VLIW/EPIC and superscalar processors in highperformance embedded applications such as digital sign...