Advanced Computer Architecture: Parallelism, Scalability, by Kai Hwang, Naresh Jotwani

By Kai Hwang, Naresh Jotwani

Dr. Hwang provides precise info at the structure of pcs, research of scalability, idea and utilization of parallelism and programmability during this e-book. The ebook is split into 4 components inclusive of 3 chapters each one and has a complete of thirteen chapters.

the 1st a part of the ebook presents simple ideas on parallel processing. The chapters during this half are geared toward development the basic starting place for the readers for extra learn into and software program. the second one half covers info on complex processors, cache and strategies relating to reminiscence and pipelining. The 3rd half offers information on shared-memory multiprocessors. The fourth and ultimate a part of the booklet offers with diversified versions for parallel programming. It offers an in depth examine into software program instruments used for software improvement and function enhancements.

Advanced computing device structure: Parallelism, Scalability, Programmability is a aggressive and correct ebook in its style because of its common theories at the ideas that govern parallelism, scalability and programmability. The specified but basic technique in facing those subject matters retains the booklet from turning into out of date regardless of common adjustments in technology.

Advanced desktop structure: Parallelism, Scalability, Programmability is appropriate for senior or graduate point classes and will even be used a good reference device for college kids. there's an introductory flowchart that gives a prepared consultant for college kids and lecturers alike to get the utmost profit out of examining it. The ebook contains 360 illustrations, and 114 solved examples. The ebook comprises case stories of platforms like Hitachi, Blue Gene, Fujitsu, and Tera.

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Additional info for Advanced Computer Architecture: Parallelism, Scalability, Programmability (2nd Edition)

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Fora given instnretion set, we can calculate an merrrge CPI over all instruction types, provided we know their frequencies of appearance in the program. An accurate estimate of the average CPI requires a large amount of program eode to be traced over s long period of time. Unless specifically focusing on a single instruction type, we simply use the term CPI to mean the average value with respect to a given instruction set and a given program mix. Perfbrmance Factors Let I, be the number of instructions in a given program, or the instruction count.

C/nmputer Generation: Over the past several doeades, electronic computers have gone through roughly five generations of development. l provides s summary ofthe five generations ofelectronic computer development. Each of the first three generations lasted about 10 years. The fourth generation covered a time span of 15 years. The fifili generation today has processors and memory devices with more than l billion transistors on a single silicon chip. The division ofgcnerations is marked primarily by major changes in hardware and software technologies.

Therefore, the eydes per instruction { C PI '1 becomes an important parameter for measuring the time needed to execute each instrucfjon. Fora given instnretion set, we can calculate an merrrge CPI over all instruction types, provided we know their frequencies of appearance in the program. An accurate estimate of the average CPI requires a large amount of program eode to be traced over s long period of time. Unless specifically focusing on a single instruction type, we simply use the term CPI to mean the average value with respect to a given instruction set and a given program mix.

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