The main contribution of this work is to increase the coding productivity for GPU programming by using the concept of Static Graphs. To do so, we have combined the new CUDA Graph API with the OpenACC programming model...
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ISBN:
(纸本)9781665410168
The main contribution of this work is to increase the coding productivity for GPU programming by using the concept of Static Graphs. To do so, we have combined the new CUDA Graph API with the OpenACC programming model. We use as test cases a well-known and widely used problems in HPC and AI: the Particle Swarm Optimization. We complement the OpenACC functionality with the use of CUDA Graph, achieving accelerations of more than one order of magnitude, and a performance very close to a reference and optimized CUDA code. Finally, we propose a new specification to incorporate the concept of Static Graphs into the OpenACC specification.
Orienting new clinical coders to the hospital's case mix should be a basic function of the organisation's coding Service. After much trial and error, Southern Health coding and Casemix Services has devised an ...
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Orienting new clinical coders to the hospital's case mix should be a basic function of the organisation's coding Service. After much trial and error, Southern Health coding and Casemix Services has devised an orientation program that brings together, in a structured and logical manner, all the elements a coder needs to know. This article describes the current coding orientation program.
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