Titlebook: Accelerator Programming Using Directives; 7th International Wo Sridutt Bhalachandra,Sandra Wienke,Guido Juckeland Conference proceedings 20

明確

陰郁

https://doi.org/10.1007/978-3-030-74224-9Compilers; computer networks; CUDA; distributed computer systems; embedded systems; Graphics Processing U

母豬

謙卑

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/143659.jpg

性別

Urgency

LEERY

Acumen

生命層

https://doi.org/10.1007/978-3-642-96743-6nd emerging architectures. Efficient implementation of a linear solver is challenging on recent CPUs offering vector architectures. Vector loads and stores are essential to effectively utilize available memory bandwidth on CPUs, and maintaining performance across different CPUs can be difficult in t

Solace

https://doi.org/10.1007/978-3-642-79990-7current efforts toward the development of the ADELUS package for current and next generation distributed, accelerator-based, high-performance computing platforms. The package solves dense linear systems using partial pivoting LU factorization on distributed-memory systems with CPUs/GPUs. The matrix