Download Parallel Computing for Real-time Signal Processing and by M. O. Tokhi PhD, CEng, M. A. Hossain MSc, PhD, M. H. Shaheed PDF

By M. O. Tokhi PhD, CEng, M. A. Hossain MSc, PhD, M. H. Shaheed MSc, PhD (auth.)

The computing functionality calls for of contemporary real-time sign processing and keep an eye on purposes are expanding swiftly. using a number of processors working in parallel permits a number of directions to be handled at the same time, so the requirement for "real-time" is now a lot more uncomplicated to fulfill. Parallel Computing for Real-time sign Processing and Control introduces scholars to some great benefits of this significant power inside of an engineering framework. the facility of parallel processing to house universal sign processing and keep an eye on algorithms is explored. The book:

• Emphasises the connection among the computing necessities of algorithms and the fitting number of architectures in profitable computing innovations.

• Demonstrates the identity of processor services and the way to use them to the fullest for various initiatives.

• sincerely states goals in each one bankruptcy to permit the scholar to watch his/her development.

• makes use of examples and end-of-chapter routines to facilitate self-study and guided university.

• bargains case stories that positioned theoretical options right into a functional context.

Written in an educational variety with a logical exploratory technique, Parallel Computing for Real-time sign Processing and Control is a perfect creation to this strong paradigm. For complicated scholars in parallel computing, keep watch over and sign processing disciplines, will probably be a useful software in studying to get the easiest from their machine systems.

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Additional info for Parallel Computing for Real-time Signal Processing and Control

Sample text

Such algorithms are used extensively in a variety of DSP applications such as radar, sonar, and weather forecasting. As most DSP operations require additions and multiplications together, DSP processors usually possess adders and multipliers, which can be used in parallel within a single instruction. DSP chips are also capable of handling multiple memory access in a single instruction cycle. One of the major differences between DSP chips and general-purpose processors is that DSP chips are required to deal with real-world problems frequently and they are designed to do so.

Such queries require substantial processing time to execute. By executing these queries in parallel the elapsed time can be reduced. 4 Satellite, Radar and Sonar Applications Most satellite, radar and sonar applications handle vast amounts of data and varieties of signals. Parallel processing is used to process these data and signals. In fact, many of those applications cannot be even thought of without parallel processmg. 5 Aerospace Applications The computing requirements of safety-critical aerospace control systems are currently doubling every 2-3 years.

The processors share the same main memory and 1/0 facilities and are interconnected by some form of bus-based interconnection scheme such that the memory access time is approximately the same for all processors. All processors can perform the same functions under control of an integrated operating system, which provides interaction between processors and their programs at the job, task, file and data element levels (Stallings, 2003). The IBM S/390 is an example ofUMA architecture. In the case of NUMA architectures the memory access time of processors differs depending on which region of the main memory is accessed.

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