As we've already seen, branch prediction sometimes goes horribly wrong -- in the worst case scenario you need to go back and actually wait for a memory load, which will take forever (in other words: failing branch prediction is bad, a memory load after a branch prediction fail is...
A remarkable example of high-speed rail leading to an entirely unan- ticipated labor (and cultural) migration is the phenomenon described by The Economist as "Paris-on-Thames," the creation, within just 20 years, of a vibrant French community in London, "Gallicizing" everything from the ...
import tensorflow as tf import time # version 1 tic = time.time() elems = np.array(range(1,1000000), dtype=np.float64) output = tf.map_fn(lambda x: x**6 , elems, dtype=tf.float64, parallel_iterations=56) sess = tf.Session() res = sess.run(output) toc = time.time() - tic...