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Joshua Bloch Java is notable as the first mainstream language to provide built-in mechanisms for multithreading; do you feel like Java s approach is viable in a multicore world Bloch: I m going to go one step further. I think it is the best approach of any language out there. It s funny because it seems very popular to talk about Java being dead now. I see it as histrionics, basically. But I think that right now the best existing multithreaded building blocks are in Java. I think Java is poised for a little resurgence. I m not saying it is where we ll be headed for the next 20 years; that it is the best way to take care of these multicores. But I think of what s available today, it s head and shoulders above the competition. Seibel: What do you see as the competition to Java Bloch: Well, I m thinking C++ and C#. Seibel: What about things like Erlang or Software Transactional Memory Bloch: So far as I know, STM doesn t yet exist in a practical form in any mainstream language. If STM proves to be worth its salt, I suspect it will appear in Java at about the same time it appears elsewhere. Erlang s approach to concurrency is actors, and if they prove to be a big win, they can also be implemented in many languages. As you know, Odersky and company have already implemented them in Scala. I m not convinced that actors are the best fit for multicore parallelism, but if they are, I suspect that someone will implement them in Java soon enough. Seibel: So Java provides, as you say, building blocks that let you get portable access to threads provided by the OS and then some higher-level constructs with the java.util.concurrent API. But they re still pretty lowlevel constructs compared to something like Erlang or STM, aren t they Bloch: I m not so sure. Some of Java s building blocks are low-level, like AtomicInteger; some are midlevel, like CyclicBarrier; and some are highlevel, like ConcurrentHashMap and ThreadPoolExecutor. I believe that STM and actors could both find comfortable homes in Java s concurrency
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Joshua Bloch building blocks approach when and if people are convinced that they pull their weight. Some form of transactional memory may become important in the future, perhaps as a building block for use by concurrency library designers. But I don t think STM will succeed as a tool that lets the application programmer stop worrying about locks and live in a beautiful world where threads don t interfere with one another. It s just not going to happen. There are a bunch of reasons for this. Here s one I learned when I worked in transaction systems. When you try to do automatic locking or optimistic concurrency control based merely on reading and writing at the byte level, you end up with false contention between threads: you have physical conflicts that don t correspond to logical conflicts. If you re forced to think about what locks to acquire, you can do your best to ensure that you don t acquire any locks beyond what is required to enforce logical conflicts. So, for example, if you have two threads, both of which are incrementing a counter, they should be allowed to proceed concurrently. They may be accessing the same piece of memory but they re not conflicting with each other from a logical perspective. If you have one thread that s reading a counter and one that s incrementing it, they re in conflict. But you can have arbitrarily many readers or arbitrarily many incrementers proceeding concurrently. This is the sort of thing that no system that I ve seen to date can figure out of its own accord. The counter example may be artificial, but it s not uncommon that physical contention is far more restrictive than logical contention. Another problem with STM is that there are all manner of operations that can t occur inside a transaction. I/O is the classic example. A third problem is that some STM schemes allow doomed transactions to view memory in inconsistent states, with potentially disastrous results. Again, these are problems that we struggled with back when we were building generalpurpose distributed transaction systems. They have solutions, but all the solutions I know of add complexity or reduce performance. Anyway, to the best of my knowledge, STM is still research. I think it s great that people are doing this research. But I simply don t believe in a silver bullet for concurrency, at least for the foreseeable future.
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