000			01954nam a2200229Ia 4500
003			NULRC
005			20250520103029.0
008			250520s9999 xx 000 0 und d
020			_a9781316518533
040			_cNULRC
050			_aQA 76.9.A73 .C45 2022
100			_aChien, Andrew A. _eauthor
245		0	_aComputer architecture for scientists : _bprinciples and performance / _cAndrew A. Chien
260			_aUnited Kingdom : _bCambridge University Press, _cc2022
300			_axi, 251 pages : _bcolor illustrations ; _c25 cm.
365			_bUSD49
504			_aIncludes bibliographical references and index.
505			_a1. Computing and the transformation of society -- 2. Instruction sets, software, and instruction execution -- 3. Processors : small is fast and scaling -- 4. Sequential abstraction, but parallel implementation -- 5. Memories : exploiting dynamic locality -- 6. The general-purpose computer -- 7. Beyond sequential : parallelism in multi-core and the Cloud -- 8. Accelerators : customized architectures for performance -- 9. Computing performance : past, present, and future.
520			_aThis book is for the growing community of scientists and even engineers who use computing, and seek a scientific understanding of computer architecture. Those who view computation as an intellectual multiplier, and consequently are interested in capabilities, scaling, and limits, not mechanisms. That is, the scientific principles behind computer architecture, and how to reason about hardware performance for higher-level ends. With the dramatic rise of both data analytics and artificial intelligence, there is a rapid growth in interest and progress in data science. And further a shift in the center of mass of computer science upward and boundary outward - into a wide variety of sciences (physical, biological, and social) as well as nearly every aspect of society
650			_aCOMPUTER ARCHITECTURE
942			_2lcc _cBK
999			_c21778 _d21778