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Scalable Shared-Memory Multiprocessing by Daniel E. Lenoski and Wolf-Dietrich Weber (Auth.) is a nonfiction available to read on EtoBox.

What is Scalable Shared-Memory Multiprocessing about?

<p>dr. Lenoski And Dr. Weber Have Experience With Leading-edge Research And Practical Issues Involved In Implementing Large-scale Parallel Systems. They Were Key Contributors To The Architecture And Design Of The Dash Multiprocessor. Currently, They Are Involved With Commercializing Scalable Shared-memory Technology.</p> <h3>booknews</h3> <p>explores A New Class Of Machines Supporting Both Cache-coherent Shared-memory And Scalability To A Large Number Of Processors. The Volume Contains Three Major Sections. Part I Introduces General Ssmp Concepts And The Design Issues That All Ssmp Systems Face. Part Ii Is A Detailed Study Of The Dash Prototype Machine And Its Performance. Part Iii Concludes With An Outline Of A Very Large-scale Machine Based On The Dash Design That Could Be Built With Current State-of-the-art Technology. Extensive References. Annotation C. Book News, Inc., Portland, Or (booknews.com)</p>

Who reads Scalable Shared-Memory Multiprocessing?

Author

Daniel E. Lenoski and Wolf-Dietrich Weber (Auth.)

Publisher

Elsevier Inc, Morgan Kaufmann

Published

1995

Language

EN

ISBN

9781558603158

Category

nonfiction

Subjects

Computer Science, Science, Technology