Integer Crunching Power

Each core has two integer executions units (EX0 and EX1) and two AGUs (Address Generation Units). For comparison, the K10 core inside Magny-Cours and Istanbul had three ports to a “Fully featured ALU + AGU” couple. AMD marketing cleverly drew four pipeline blocks inside the Bulldozer integer core, but those powerpoint blocks cannot hide the fact that each Bulldozer integer core has fewer execution resources.

In practice, the AG0 and AG1 are little more than assistants with limited capabilities to EX0 and EX1.The software optimization guide for AMD family 15h processors lists only a few instructions (page 248 in the January 2012 version) that can be processed by the AG0 and AG1 execution units and each time the remark "First op to AG0 | AG1, Second to EX0 | EX1" is made. The AG0 and AG1 execution units reduce the latency of the CALL and LEA instructions, but the maximum throughput of each integer core inside the Bulldozer module is only two integer instructions per clock cycle. It's only when a fused branch enters EX0 and another integer instruction can enter EX1 that we have a slightly higher throughput of three integer instructions.

So the Bulldozer integer core can execute one integer instruction less per cycle (2 vs 3). That doesn’t mean that the Bulldozer integer core is 1/3 slower, however. The integer core of Bulldozer is smaller but also more flexible. The per lane dedicated 8-entry schedulers are gone, and a much larger 40 entry scheduler replaced it. This means that Bulldozer should be better at extracting ILP (Instruction Level Parallelism) out of code that has low IPC (Instructions Per Clock).

In some integer intensive applications, the fact that the maximum throughput of integer instructions is somewhat lower might slow things down. That is the not very useful "it depends" answer, so let's clarify: what kind of applications are we talking about?

Setting Expectations: the Front End Reevaluating the Situation
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  • Schmide - Wednesday, May 30, 2012 - link

    I do remember from some analysis that the L2 cache reads were as slow as main memory. That's great if you hit a L2 cache, but it's not going to buy you anything if it's that slow.
  • SocketF - Wednesday, May 30, 2012 - link

    Impossible, you probably mix some things up, maybe latency and bandwidth?
  • Schmide - Wednesday, May 30, 2012 - link

    Yup. It was late at night, I was thinking writes. the L1 write through basically makes L1 writes the same as L2 writes.
  • Homeles - Wednesday, May 30, 2012 - link

    Not even close. L2 is about 10 times faster than main memory.

    http://www.anandtech.com/show/4955/the-bulldozer-r...
  • jcollake - Wednesday, May 30, 2012 - link

    Through research here at Bitsum on the AMD Bulldozer platform (specifically the 9150), I found a couple things of interest.

    First, disabling CPU core parking seems to make a big difference in performance. I believe that by default the CPU core parking is just too aggressive. I wrote a tool to let you enable or disable CPU parking in *real time* without a reboot, so you can test this yourself. It is called ParkControl, http://bitsum.com/about_cpu_core_parking.php . For *me*, it seemed to make a night and day difference.

    Second, I am working on a neat little benchmarking tool called ThreadRacer, currently only in alpha prototype. It allows you to really see the effects of these paired cores, and how much it matters that the scheduler is properly aware of them. Take this 1 second or so sample, as seen in the screenshot here (downloads available, but it is an early prototype that I'll quickly be finishing up): http://bitsum.com/forum/index.php/topic,1434.0.htm...

    The scheduler update that Microsoft issued of course treats these paired cores as it would a hyper-threaded core. Indeed, the concept is very similar, except perhaps to avoid patents, AMD took the 'share a little' instead of 'share a lot' approach when it comes to shared computational resources. This was the proper way to *quickly* address the issue, but I believe the scheduler is still suboptimal on these processors (likely to be resolved in Windows 8 or a later update to Windows 7/Vista).

    For Bulldozer, as you know, they are two real processors, but because they have shared dependencies, the performance can really be drained if the other processor in the 'pair' is busy. You can see the effects from ThreadRacer, the core without its pair busy quickly out-paced the paired cores that were both busy.
  • jcollake - Wednesday, May 30, 2012 - link

    I should have also mentioned that ThreadRacer also allows you to see how a single CPU consuming thread gets swapped around to different cores (the multi-core thread in the utility). This is its other use. The less the thread gets swapped from core to core, the greater the performance will be. It is interesting to compare and contrast the behavior of the scheduler. I fully believe that most the problems with Bulldozer are due to the Windows scheduler, something that could be tested by using linux and replacing the scheduler with a custom one, or an off the shelf alternative that may behave substantially differently than the Windows scheduler.
  • SocketF - Wednesday, May 30, 2012 - link

    Some people running BOINC programs have reported that Windows-applications run faster when they use a Linux and WINE or a VM.

    The Win-scheduler especially hurts AMD chips, because of the huge exclusive caches. If a thread on an intel CPU is switched to another core, it can load the warmed up L2 portion from the L2 inclusive L3.

    I did some google-search and it seems that under Linux, each core has its own run-queue, whereas on Windows, there is only one run queue for all cores.

    But i didn't delve into it deeply, there are so many different schedulers for Linux, seems to be a complex issue ;-)

    Btw. your link to download is off limits for non-members of your discussion board:
    -------------------------
    Warning!

    The topic or board you are looking for appears to be either missing or off limits to you.
    Please login below or register an account with Bitsum Forums.
    ----------------------------

    Maybe you can upload it somewhere else?
  • jcollake - Saturday, September 1, 2012 - link

    Sorry for the late reply. First, the forum permissions were fixed. Second, the utility (still in early stages) is included in Process Lasso *and* available here: http://bitsum.com/threadracer.php
  • eoerl - Wednesday, May 30, 2012 - link

    Very interesting article, together with the hardware.fr report there's a lot of information. One question though, if you read commentaries : you didn't speak much about the influence of compilers. This proved to change a lot of things on Linux (see phoronix extensive tests on both ivy bridge and bulldozer depending on compiler used and compiler options, for example
    http://www.phoronix.com/scan.php?page=article&...
    http://www.phoronix.com/scan.php?page=article&...
    Benchmark results really change a lot with bulldozer, much more than with ivy or sandy bridge. Do you think AMD lost being oversensitive to compiler optimisations, due to a very original architecture ?
  • JohanAnandtech - Thursday, May 31, 2012 - link

    I deliberately avoided the compiler issues as this would make the article too convoluted. But notice that what we found is not influenced by compiler choice: we find the same indications in SAP and SQL server (compiled by "conservative" compilers and compiler settings) as in CPU CPU 2006, which uses the best optimized settings and compiler as possible.

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