Ars Technica on Hyperthreading
radiokills writes "Ars Technica has a highly-informative technical paper up on Hyper-Threading. It's a technical overview of how simultaneous multithreading works, and what problems it will introduce. It also explains why comparing the technology to SMP is Apples to Oranges, in a sense. Starting with the 3 GHz Pentium 4, this tech will be standard in Intel's desktop lines (it's already in the Xeon), so this is important stuff."
If you plan to use any of these features effectively on Windows you'll need to upgrade to Windows.NET Server. Windows 2000 can't distinguish between virtual and physical processors, so if the BIOS doesn't set up a two (real) CPU system the right way it will end up ignorning the second physical processor. My source:
. doc
www.microsoft.com/windows2000/docs/hyperthreading
It's incredibly difficult to automatically parellelize a program well. Even when you can run a preprocessor on it and spend days on computations; doing it in real-time in hardware is even more difficult. This is currently done to a small extent in the pipelining hardware of modern CPUs, and even that small bit of automatic parallelization is ridiculously complex and slows things down (which is why the Itanium dumped it, and put the onus on the computer to paralellize sufficiently for pipelining to work). If it's that difficult to do for the relatively meager paralellization requirements of pipelining, actually breaking the program into separate execution threads is damn near impossible with current technology (at least with any efficiency even remotely approaching writing a program to be properly multithreaded in the first place).
10 PRINT CHR$(205.5+RND(1)); : GOTO 10
What's next, LudicrousThreads?
obligatory spaceballs reference
mp3's are only for those with bad memories
oh no!
Sincerely,
Intel
--
pants ahoy
The company that now owns the name Cray does something very much like this on a fairly grand scale on its own architecture, the MTA (Multi-Threaded Architecture). Here, each processor switches between 128(!) hardware threads to take advantage of the sort of concurrancy you can get for waiting for memory access, etc.
I don't know where you're getting your info about Oracle, but it's wrong. Oracle licensing is determined per-physical CPU. This was something we made doubly-sure to check up on when migrating from our old Oracle server to our new one (dual Xeon w/HT).
On the downside of HT, until the 2.6 (or 3.0, subject to Linus' whim) kernel comes out, there's no point in enabling HT on a Linux box; because the 2.4 scheduler is unaware of HT, all CPUs are treated the same, and the scheduler ends up starving one physical CPU. Performance on a dual-1.8Ghz Xeon, 1Gb RDRAM with HT enabled under 2.4.10 is roughly 5-15% slower than with HT disabled.
2.5.31 with the HT patch dramatically reverses these numbers, providing an average performance that is 30% better than 2.4.10 without HT. YMMV, of course, and I'm not talking about OS performance, I'm talking about Oracle's performance. Still, 30% increase just for flipping a switch in the BIOS and recompiling the kernel is nothing to sneeze at.
Arr! The laws of physics be a harsh mistress!
They call this stuff Symmetric Multi Threading, but I think that name is a bit misleading. While the thread scheduling itself is symmetric (all process threads are created equal and receive equal execution time), the shared resources on the CPU (cache, shared registers) are NOT symmetric. Since these shared resources are in essence handled on the way in to the execution unit, it becomes really easy to starve the processor when you have contention for one of those resources.
While proper application development can alleviate some of this issue, it will depend heavily on the actual usage patterns of the system. When you have a lot of overlap coming in from memory (like the file system cache on a web server), you don't worry too much about threads stepping on each others' registers. This sounds fantastic for data servers.
Desktop systems, on the other hand, almost never work this way. When you're playing MP3s in the background while web surfing and checking your email, you're already working with vastly different areas of data. Throw the OS and any various background processes into the mix and you've pretty much eliminated any gain and possibly slowed down due to cache contention.
While this was touched on at the end of the article, I don't think it was given enough weight. It doesn't just depend on what applications you're running and wether they were written to take advantage of it. It depends on what you want to do with the whole system. For serving data, this will certainly be good (especially with multiple CPUs!). For desktop systems, this is a non-starter.
I'm not disparaging the technology - far from it. I'm just waiting for Intel and Microsoft to market this to my mom as a way to have higher quality DVD playback - at twice the cost. And her buying it. Again.
Culture is more than commerce
A correct multithreaded program is HARD!!!!! Anybody who thinks otherwise is an idiot. I have seen the results. All the systems I have seen are either broken or have so many locks in them that they may as well be single-threaded. Most Windows programmers use multithreading so that they can keep more state in local variables, which may be an ok goal but has nothing to do with speed. One of biggest buggiest programs here is a multh-threaded monstrosity written by a Windows program where there are 50 threads, ALL WAITING ON THE SAME SOCKET, and it crashes sparodically in the rare cases when two threads actually become alive at the same time. Every single rewrite to reduce the number of threads has greatly improved performance and reliability.
I have no idea why you think GUI should be multi-threaded. GUI has no reason to be fast, computers are MUCH faster than humans, at least at drawing junk on the screen. In fact the best way to do it is pseudo-multithreading, such as the method windows uses (gasp! Fact alert: it is NOT multithreaded, only one "DispatchMessage" is running at a time!).
I think perhaps you mean that the GUI should be running in a parallel thread with the calculations and there you have a point, however a lot of the problems are solved by deferred redraw, which the X toolkits do quite well (and in fact Windows is broken because it produes WM_PAINT events without knowing if the program has more processing to do).
Now if there are intense calculations I grant that parallel threads are necessary, and I am working on such a program, but I must warn you that it is extremely difficult: the GUI cannot modify ANY structure being used by the parallel thread, instead it must kill the threads, wait for them to stop, modify the structure, and start them again. If in fact nothing changed you need to restart so the partially-completed answer from last time can be reused, this means you must write all the code you would for a single-threaded appliation, it does NOT save you anything. If you restart the complete parallel calculation you will get an unresponsive program if that parallel calculation takes more than a second or so. You could instead do a fancy test to see if your modifications will change the data before you kill the threads and commit them, but this often requires you to calculate the modifications twice, and the overhead of this may well kill the advantage of the parallel thread, and at least in my example this was far worse than reusing all the single-threaded restart code.
Yes, you have to use mutexes and other synchronization primitives to serialize (or at least de-conflict) accesses to shared data. But, there's nothing that requires you to share data between threads. In fact, a significant percentage of the data in the average multi-threaded program is not shared. No matter whether you are building an application using multiple threads or multiple processes, you still have the freedom to use whatever mix of data sharing and message passing is appropriate for your application.
Data shared by multiple processes needs exactly the same kind of protection as data shared by multiple threads. Except that using shared memory segments requires a lot of extra book keeping and the segments aren't cleaned up if a program terminates abnormally. And obviously, no matter whether you are using multiple threads or processes, the foot shooting is limited to the shared data only.
You can communicate between threads (or even between the same thread or process and itself) using named pipes if you want. Same goes for sockets. Using a multi-process model instead of a multi-threaded model doesn't give you access to any additional mechanisms. In fact, it's much easier to build useful communications mechanisms if you're working with threads.
In Windows, you have basically the same tools. You may not know this, but the process & thread model in Windows is virtually the same as in most modern UNIX systems. The fact that old UNIX command line tools are small and oriented around using pipes for IPC is mainly a byproduct of history & convention, if that's what you're thinking of.
I would say that building applications with multiple threads is already easier than building applications with multiple processes. That has been my experience anyway.
On the contrary, debugging apps that consist of multiple processes is a nightmare. Debugging multi-threaded programs is much easier. For one thing, how many debuggers let you attach to & debug more than one process at a time in the same set of debugger windows (or at all)? Further, when you're debugging a program with multiple processes, if you signal or interrupt one process the others continue on (and vice-versa when you continue). This is rarely what you want. In general, the differences boil down to the fact that the OS & debugger coordinate & manage the execution of multiple threads within one application, while you have to do it manually if you have an application built with multiple processes. That means less work for the developer in terms of lines of code, less work in debugging, etc.
The problem isn't so much that old school UNIX programmers are dumb. Mostly, they're either afraid of change or just too damn arrogant & obstinate to bother learning new technologies.