Sentence examples for performance execution from inspiring English sources
However, BPMC deviates from RDA 2.4.1.1: "For purposes of this instruction, generally consider that the participation of performers of popular music, jazz, etc., is not limited to performance, execution, or interpretation, and record statements identifying theses performers as statements of responsibility". This basically restores AACR2 practice for the statement of responsibility.
"Refinement and delicacy of performance, execution or artisanship".
This dissertation presents such an architecture for high performance execution of Prolog programs.
Of course, companies can become targets for activists notwithstanding rigorous self-assessment and proactive measures to improve performance, execution, value creation and governance.
This prize is awarded to the student or students deemed by the faculty to have demonstrated excellence in performance, execution or composition in one of the fields of artistic endeavor.
Louis Sudler Prize in the Arts: This prize is awarded annually to the student deemed by the faculty to have demonstrated excellence in performance, execution, or composition in one of the fields of artistic endeavor.
The designed processors use a combination of very-long instruction-word (VLIW), single-instruction multiple-data (SIMD), and complex custom DSP-like operations in order to provide an area- and energy-efficient and high-performance execution of the program parts assigned to the processor node.
Or read posters announcing everything from circus performances to executions.
Ray is a high-performance distributed execution framework targeted at large-scale machine learning and reinforcement learning applications.
We present the design and implementation of a highly scalable and easily deployed middleware system that provides performance-isolated execution environments for client and server application functionality.
It is built on the solid foundation of NVIDIA CUDA that delivers high-performance GPU execution, exposing that GPU parallelism and high memory bandwidth through user-friendly Python interfaces.
