The Definitive Guide to Jython: Python for the Java™ Platform

Chapter 19. Concurrency

Supporting concurrency is increasingly important. In the past, mainstream concurrent programming generally meant ensuring that the code interacting with relatively slow network, disk, database, and other I/O resources did not unduly slow things down. Exploiting parallelism was typically only seen in such domains as scientific computing with the apps running on supercomputers.

But there are new factors at work now. The semiconductor industry continues to work feverishly to uphold Moore's Law of exponential increase in chip density. Chip designers used to apply this bounty to speeding up an individual CPU. For a variety of reasons this old approach no longer works as well, so now chip designers are cramming chips with more ...