The surgeons, trying to sew together blood vessels about the size of a strand of spaghetti with thread thinner than a human hair, finally gave up.
An array of shared memory is then allocated dynamically, based on the size of the thread block.
The model focuses on the authorship of the first comments of the sequence in order to predict, among other purposes, the final size of the thread.
Teperman, leaning over an opening into Risa's abdomen the size of a Teletubby's TV screen, threaded silk around a vessel, tied it and snipped the vessel with scissors; looped, tied and snipped again.
The next model under consideration, Backstrom et al. [86], is not strictly speaking a generative model of discussion threads, but proposes how to predict structural properties of a thread (e.g. size) by combining features of different nature.
Both kernels are called by the CPU specifying the number of threads per block and the size of a grid.
Instead of having a parameter p f to terminate the generation of a thread, as in Kumar et al. [83], this model generates threads of a given size, drawn from the empirical distribution of a dataset of conversation threads.
