000			02707 a2200229 4500
005			20180122123956.0
008			180122b xxu||||| |||| 00| 0 eng d
020			_a9781439873717
040			_cIIT Kanpur
041			_aeng
082			_a004.22 _bL577p
100			_aLevesque, John
245			_aProgramming for hybrid multi/manycore MPP systems _cJohn Levesque and Aaron Vose
260			_bCRC Press _c2018 _aBoca Raton
300			_axxxv, 305p
440			_aChapman & Hall/CRC computational science series
490			_a/ edited by Horst Simon
520			_a"Ask not what your compiler can do for you, ask what you can do for your compiler." --John Levesque, Director of Cray’s Supercomputing Centers of Excellence The next decade of computationally intense computing lies with more powerful multi/manycore nodes where processors share a large memory space. These nodes will be the building block for systems that range from a single node workstation up to systems approaching the exaflop regime. The node itself will consist of 10’s to 100’s of MIMD (multiple instruction, multiple data) processing units with SIMD (single instruction, multiple data) parallel instructions. Since a standard, affordable memory architecture will not be able to supply the bandwidth required by these cores, new memory organizations will be introduced. These new node architectures will represent a significant challenge to application developers. Programming for Hybrid Multi/Manycore MPP Systems attempts to briefly describe the current state-of-the-art in programming these systems, and proposes an approach for developing a performance-portable application that can effectively utilize all of these systems from a single application. The book starts with a strategy for optimizing an application for multi/manycore architectures. It then looks at the three typical architectures, covering their advantages and disadvantages. The next section of the book explores the other important component of the target―the compiler. The compiler will ultimately convert the input language to executable code on the target, and the book explores how to make the compiler do what we want. The book then talks about gathering runtime statistics from running the application on the important problem sets previously discussed. How best to utilize available memory bandwidth and virtualization is covered next, along with hybridization of a program. The last part of the book includes several major applications, and examines future hardware advancements and how the application developer may prepare for those advancements.
650			_aComputer architecture
700			_aVose, Aaron
942			_cBK
999			_c558391 _d558391