例句與造句

1. Compute Kernels, in a Language independent and machine independent manner.
2. Linux distributions that have highly modified kernels  for example, real-time computing kernels  should be listed separately.
3. These technologies allow specified functions called compute kernels from a normal C program to run on the GPU's stream processors.
4. Mathematica calls the processes performing computations " compute kernels " . gridMathematica allows additional processes ( compute kernels ) to be used.
5. Mathematica calls the processes performing computations " compute kernels " . gridMathematica allows additional processes ( compute kernels ) to be used.
6. It's difficult to find compute kernels in a sentence. 用compute kernels造句挺難的
7. A key design aspect of MOOSE is the decomposition of residual equations into separate terms that are each represented by compute kernels.
8. In 2007, NVIDIA introduced video cards that could be used not only to show C / C + + with embedded compute kernels.
9. Compute kernels roughly correspond to inner loops when implementing algorithms in traditional languages ( except there is no implied sequential operation ), or to code passed to internal iterators.
10. The vector processing proposal is currently ( 29 June 2015 ) a conservative, flexible design of a general-purpose mixed-precision vector processor ( suitable for executing compute kernels ).
11. In 2008 Khronos Group released the OpenCL with the aim to support general purpose CPUs, ATI / AMD and Nvidia GPUs ( and other accelerators ) with a single common language for compute kernels.
12. In computing, a "'compute kernel "'is a routine compiled for high throughput accelerators ( such as FPGAs, separate from ( but used by ) a main program.
13. The rise of consumer GPUs has led to support for compute kernels, either in graphics APIs ( referred to as compute shaders ), in dedicated APIs ( such as OpenCL ), or in other language extensions.
14. Later AMD donated Vulkan and now this is the current cross-platform API dedicated to reduce driver overhead, while better distributing work among multiple CPU and GPU cores, using an unified management of compute kernels and graphical shaders.