** UPDATE 3/13 5 PM **
AMD has posted a follow-up statement that officially clears up much of the conjecture this article was attempting to clarify. Relevant points from their post that relate to this article as well as many of the requests for additional testing we have seen since its posting (emphasis mine):
"We have investigated reports alleging incorrect thread scheduling on the AMD Ryzen™ processor. Based on our findings, AMD believes that the Windows® 10 thread scheduler is operating properly for “Zen,” and we do not presently believe there is an issue with the scheduler adversely utilizing the logical and physical configurations of the architecture."
"Finally, we have reviewed the limited available evidence concerning performance deltas between Windows® 7 and Windows® 10 on the AMD Ryzen™ CPU. We do not believe there is an issue with scheduling differences between the two versions of Windows. Any differences in performance can be more likely attributed to software architecture differences between these OSes."
So there you have it, straight from the horse's mouth. AMD does not believe the problem lies within the Windows thread scheduler. SMT performance in gaming workloads was also addressed:
"Finally, we have investigated reports of instances where SMT is producing reduced performance in a handful of games. Based on our characterization of game workloads, it is our expectation that gaming applications should generally see a neutral/positive benefit from SMT. We see this neutral/positive behavior in a wide range of titles, including: Arma® 3, Battlefield™ 1, Mafia™ III, Watch Dogs™ 2, Sid Meier’s Civilization® VI, For Honor™, Hitman™, Mirror’s Edge™ Catalyst and The Division™. Independent 3rd-party analyses have corroborated these findings.
For the remaining outliers, AMD again sees multiple opportunities within the codebases of specific applications to improve how this software addresses the “Zen” architecture. We have already identified some simple changes that can improve a game’s understanding of the "Zen" core/cache topology, and we intend to provide a status update to the community when they are ready."
We are still digging into the observed differences of toggling SMT compared with disabling the second CCX, but it is good to see AMD issue a clarifying statement here for all of those out there observing and reporting on SMT-related performance deltas.
** END UPDATE **
Editor's Note: The testing you see here was a response to many days of comments and questions to our team on how and why AMD Ryzen processors are seeing performance gaps in 1080p gaming (and other scenarios) in comparison to Intel Core processors. Several outlets have posted that the culprit is the Windows 10 scheduler and its inability to properly allocate work across the logical vs. physical cores of the Zen architecture. As it turns out, we can prove that isn't the case at all. -Ryan Shrout
Initial reviews of AMD’s Ryzen CPU revealed a few inefficiencies in some situations particularly in gaming workloads running at the more common resolutions like 1080p, where the CPU comprises more of a bottleneck when coupled with modern GPUs. Lots of folks have theorized about what could possibly be causing these issues, and most recent attention appears to have been directed at the Windows 10 scheduler and its supposed inability to properly place threads on the Ryzen cores for the most efficient processing.
I typically have Task Manager open while running storage tests (they are boring to watch otherwise), and I naturally had it open during Ryzen platform storage testing. I’m accustomed to how the IO workers are distributed across reported threads, and in the case of SMT capable CPUs, distributed across cores. There is a clear difference when viewing our custom storage workloads with SMT on vs. off, and it was dead obvious to me that core loading was working as expected while I was testing Ryzen. I went back and pulled the actual thread/core loading data from my testing results to confirm:
The Windows scheduler has a habit of bouncing processes across available processor threads. This naturally happens as other processes share time with a particular core, with the heavier process not necessarily switching back to the same core. As you can see above, the single IO handler thread was spread across the first four cores during its run, but the Windows scheduler was always hitting just one of the two available SMT threads on any single core at one time.
My testing for Ryan’s Ryzen review consisted of only single threaded workloads, but we can make things a bit clearer by loading down half of the CPU while toggling SMT off. We do this by increasing the worker count (4) to be half of the available threads on the Ryzen processor, which is 8 with SMT disabled in the motherboard BIOS.
SMT OFF, 8 cores, 4 workers
With SMT off, the scheduler is clearly not giving priority to any particular core and the work is spread throughout the physical cores in a fairly even fashion.
Now let’s try with SMT turned back on and doubling the number of IO workers to 8 to keep the CPU half loaded:
SMT ON, 16 (logical) cores, 8 workers
With SMT on, we see a very different result. The scheduler is clearly loading only one thread per core. This could only be possible if Windows was aware of the 2-way SMT (two threads per core) configuration of the Ryzen processor. Do note that sometimes the workload will toggle around every few seconds, but the total loading on each physical core will still remain at ~%50. I chose a workload that saturated its thread just enough for Windows to not shift it around as it ran, making the above result even clearer.
Synthetic Testing Procedure
While the storage testing methods above provide a real-world example of the Windows 10 scheduler working as expected, we do have another workload that can help demonstrate core balancing with Intel Core and AMD Ryzen processors. A quick and simple custom-built C++ application can be used to generate generic worker threads and monitor for core collisions and resolutions.
This test app has a very straight forward workflow. Every few seconds it generates a new thread, capping at N/2 threads total, where N is equal to the reported number of logical cores. If the OS scheduler is working as expected, it should load 8 threads across 8 physical cores, though the division between the specific logical core per physical core will be based on very minute parameters and conditions going on in the OS background.
By monitoring the APIC_ID through the CPUID instruction, the first application thread monitors all threads and detects and reports on collisions - when a thread from our app is running on the same core as another thread from our app. That thread also reports when those collisions have been cleared. In an ideal and expected environment where Windows 10 knows the boundaries of physical and logical cores, you should never see more than one thread of a core loaded at the same time.
Click to Enlarge
This screenshot shows our app working on the left and the Windows Task Manager on the right with logical cores labeled. While it may look like all logical cores are being utilized at the same time, in fact they are not. At any given point, only LCore 0 or LCore 1 are actively processing a thread. Need proof? Check out the modified view of the task manager where I copy the graph of LCore 1/5/9/13 over the graph of LCore 0/4/8/12 with inverted colors to aid viewability.
If you look closely, by overlapping the graphs in this way, you can see that the threads migrate from LCore 0 to LCore 1, LCore 4 to LCore 5, and so on. The graphs intersect and fill in to consume ~100% of the physical core. This pattern is repeated for the other 8 logical cores on the right two columns as well.
Running the same application on a Core i7-5960X Haswell-E 8-core processor shows a very similar behavior.
Click to Enlarge
Each pair of logical cores shares a single thread and when thread transitions occur away from LCore N, they migrate perfectly to LCore N+1. It does appear that in this scenario the Intel system is showing a more stable threaded distribution than the Ryzen system. While that may in fact incur some performance advantage for the 5960X configuration, the penalty for intra-core thread migration is expected to be very minute.
The fact that Windows 10 is balancing the 8 thread load specifically between matching logical core pairs indicates that the operating system is perfectly aware of the processor topology and is selecting distinct cores first to complete the work.
Information from this custom application, along with the storage performance tool example above, clearly show that Windows 10 is attempting to balance work on Ryzen between cores in the same manner that we have experienced with Intel and its HyperThreaded processors for many years.