Finally, an efficient self-synchronizing method is realized for fine-grained task scheduling on heterogeneous CPU GPU architecture.
It represents a pattern of close collaboration between the CPU and the GPU to process a pool of fine-grained tasks.
For example, it may be useful to detect the creation of a large number of fine-grained tasks, which cause significant runtime overheads.
The effectiveness of the FastFlow framework in high-frequency synchronizations (i.e., fine-grained tasks) at a high-level of abstraction is the key features to devise a portable and efficient implementation of the simulation workflow, which is CWC simulator with online parallel analysis: architecture, composed by a three-stage pipeline: simulation, analysis, and display of results.
The practical + metric for a fine-grained classification task can be the class-normalized average classification accuracy, which is calculated as the average of diagonal elements of a normalized confusion matrix, C, entries of which are defined as follows [6]: C_{pq} = frac{lvert {i:hat{y_{i}}=q wedge y_{i}=p}rvert}{lvert{i y_{i}=p}rvert}, (1).
A fine-grained analysis that focused on performance after 5 days of practice still found large differences between the single-task condition and on-task segments of the IVIS condition (F 2, 226) = 336.17, p < 0.001, η2 = 0.748).
A fine-grained classification with ~80 classes.
A fine-grained service only includes a single operation.
A fine-grained searching algorithm was designed at the second stage of TSPSO.
Ideally, a fine-grained representation of language networks in patients implies the use of a panel of language tasks.
This tells us that the classifier makes more classification errors as a fine-grained classifier than when used for classifying the three broad relation types, thus in turn verifying that task complexity increases with finer granularity of the relations.
