Zen: New Core Features

Since August, AMD has been slowly releasing microarchitecture details about Zen. Initially it started with a formal disclosure during Intel’s annual developer event, the followed a paper at HotChips, some more details at the ‘New Horizon’ event in December, and recently a talk at ISSCC. The Zen Tech Day just before launch gave a chance to get some of those questions answered.

First up, let’s dive right in to the high-level block diagram:

In this diagram, the core is split into the ‘front-end’ in blue and the rest of the core is the ‘back-end’. The front-end is where instructions come into the core, branch predictors are activated and instructions are decoded into micro-ops (micro-operations) before being placed into a micro-op queue. In red is the part of the back-end that deals with integer (INT) based instructions, such as integer math, loops, loads and stores. In orange is the floating-point (FP) part of the back-end, typically focused on different forms of math compute. Both the INT and FP segments have their own separate execution port schedulers

If it looks somewhat similar to other high-performance CPU cores, you’d be correct: there seems to be a high-level way of ‘doing things’ when it comes to x86, with three levels of cache, multi-level TLBs, instruction coalescing, a set of decoders that dispatch a combined 4-5+ micro-ops per cycle, a very large micro-op queue (150+), shared retire resources, AVX support, and simultaneous hyper-threading.

What’s New to AMD

First up, and the most important, was the inclusion of the micro-op cache. This allows for instructions that were recently used to be called up to the micro-op queue rather than being decoded again, and saves a trip through the core and caches. Typically micro-op caches are still relatively small: Intel’s version can support 1536 uOps with 8-way associativity. We learned (after much asking) at AMD’s Tech Day that the micro-op cache for Zen can support ‘2K’ (aka 2048) micro-ops with up to 8-ops per cache line. This is good for AMD, although I conversed with Mike Clark on this: if AMD had said ‘512’, on one hand I’d be asking why it is so small, and on the other wondering if they would have done something different to account for the performance adjustments. But ‘2K’ fits in with what we would expect.

Secondly is the cache structure. We were given details for the L1, L2 and L3 cache sizes, along with associativity, to compare it to former microarchitectures as well as Intel’s offering.

In this case, AMD has given Zen a 64KB L1 Instruction cache per core with 4-way associativity, with a lop-sided 32KB L1 Data cache per core with 8-way associativity. The size and accessibility determines how frequently a cache line is missed, and it is typically a trade-off for die area and power (larger caches require more die area, more associativity usually costs power). The instruction cache, per cycle, can afford a 32byte fetch while the data cache allows for 2x 16-byte loads and one 16-byte store per cycle. AMD stated that allowing two D-cache loads per cycle is more representative of the most workloads that end up with more loads than stores.

The L2 is a large 512 KB, 8-way cache per core. This is double the size of Intel’s 256 KB 4-way cache in Skylake or 256 KB 8-way cache in Broadwell. Typically doubling the cache size affords a 1.414 (square root of 2) better chance of a cache hit, reducing the need to go further out to find data, but comes at the expense of die area. This will have a big impact on a lot of performance metrics, and AMD is promoting faster cache-to-cache transfers than previous generations. Both the L1 and L2 caches are write-back caches, improving over the L1 write-through cache in Bulldozer.

The L3 cache is an 8MB 16-way cache, although at the time last week it was not specified over how many cores this was. From the data release today, we can confirm rumors that this 8 MB cache is split over a four-core module, affording 2 MB of L3 cache per core or 16 MB of L3 cache for the whole 8-core Zen CPU. These two 8 MB caches are separate, so act as a last-level cache per 4-core module with the appropriate hooks into the other L3 to determine if data is needed. As part of the talk today we also learned that the L3 is a pure victim cache for L1/L2 victims, rather than a cache for prefetch/demand data, which tempers the expectations a little but the large L2 will make up for this. We’ll discuss it as part of today’s announcement.

AMD is also playing with SMT, or simultaneous multi-threading. We’ve covered this with Intel extensively, under the heading ‘HyperThreading’. At a high level both these terms are essentially saying the same thing, although their implementations may differ. Adding SMT to a core design has the potential to increase throughput by allowing a second thread (or third, or fourth, or like IBM up to eight) on the same core to have the same access to execution ports, queues and caches. However SMT requires hardware level support – not all structures can be dynamically shared between threads and can either be algorithmically partitioned (prefetch), statically partitioned (micro-op queue) or used in alternate cycles (retire queue).

We also have dual schedulers, one for INT and another for FP, which is different to Intel’s joint scheduler/buffer implementation. 

CPUs, Speeds, Pricing: AMD Ryzen 7 Launch Details The Ryzen Die
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  • Notmyusualid - Saturday, March 4, 2017 - link

    Can't disagree with you pal. They look like they execptional value for money.

    I on the other hand, am already on LGA2011-v3 platform, so I won't be changing, but the main point here is - AMD are back. And we welcome them too.
  • Alexvrb - Saturday, March 4, 2017 - link

    Yeah... if the pricing is as good as rumored for the Ryzen 5, I may pick up a quad-core model. Gives me an upgrade path too, maybe a Ryzen+ hexa or octa-core down the road. For budget builds that Ryzen 3 non-SMT quad-core is going to be hard to argue with though.
  • wut - Sunday, March 5, 2017 - link

    You're really optimistically assuming things.

    Kaby Lake Core i5 7400 $170
    Ryzen 5 1600X $259

    ...and single thread benchmark shows Core i5 to be firmly ahead, just as Core i7 is. The story doesn't seem to change much in the mid range.
  • Meteor2 - Tuesday, March 7, 2017 - link

    @wut spot-on. It also seems that Zen on GloFlo 14 nm doesn't clock higher than 4.0 GHz. Zen has lower IPC and lower actual clocks than Intel KBL.

    Whichever way you cut it, however many cores in a chip are being considered, in terms of performance, Intel leads. Intel's pricing on >4 core parts is stupid and AMD gives them worthy price competition here. But at 4C and below, Intel still leads. AMD isn't price-competitive here either. No wonder Intel haven't responded to Zen. A small clock bump with Coffee Lake and a slow move to 10 nm starting with Cannon Lake for mobile CPUs (alongside or behind the introduction of 10 nm 'datacentre' chips) is all they need to do over the next year.

    After all, if Intel used the same logic as TSMC and GloFlo in naming their process nodes, i.e. using the equivalent nanometre number of if finFETs weren't being used, Intel would say they're on a 10 nm process. They have a clear lead over GloFlo and thus anything AMD can do.
  • Cooe - Sunday, February 28, 2021 - link

    I'm here from the future to tell you that you were wrong about literally everything though. AMD is kicking Intel's ass up and down the block with no end in sight.
  • Cooe - Sunday, February 28, 2021 - link

    Hahahaha. I really fucking hope nobody actually took your "buying advice". The 6-core/12-thread Ryzen 5 1600 was about as fast at 1080p gaming as the 4c/4t i5-7400 ON RELEASE in 2017, and nowadays with modern games/engines it's like TWICE AS FAST.
  • deltaFx2 - Saturday, March 4, 2017 - link

    I think the reviewer you're quoting is Gamers Nexus. He doesn't come across as being a particularly erudite person on matters of computer architecture. He throws a bunch of tests at it, and then spews a few untutored opinions, which may or may not be true. Tom's hardware does a lot of the same thing, and more, and their opinions are far more nuanced. Although they too could have tried to use an AMD graphics card to see if the problems persist there as well, but perhaps time was the constraint.

    There's the other question of whether running the most expensive GPU at 1080p is representative of real-world performance. Gaming, after all, is visual and largely subjective. Will you notice a drop of (say) 10 FPS at 150 FPS? How do you measure goodness of output? Let's contrive something.

    All CPUs have bottlenecks, including Intel. The cases where AMD does better than Intel are where AMD doesn't have the bottlenecks Intel has, but nobody has noticed it before because there wasn't anything else to stack up against it. The question that needs to be answered in the following weeks and months is, are AMD's bottlenecks fixable with (say) a compiler tweak or library change? I'd expect much of it is, but lets see. There was a comment on some forum (can't remember) that said that back when Athlon64 (K8) came out, the gaming community was certain that it was terrible for gaming, and Netburst was the way to go. That opinion changed pretty quickly.
  • Notmyusualid - Saturday, March 4, 2017 - link

    Gamers Nexus seem 'OK' to me. I don't know the site like I do Anandtech, but since Anand missed out the games....

    I am forced to make my opinions elsewhere. And funny you mentions Toms, they seem to back it up to some degree too, and I know these two sites are cross-owned.

    But still, when Anand get around to benching games with Ryzen, only then will I draw my final conclusions.
  • deltaFx2 - Sunday, March 5, 2017 - link

    @ Notmyusualid: I'm sure Gamers Nexus numbers are reasonable. I think they and Tom's (and other reviewers) see a valid bottleneck that I can only guess is software optimization related. The issue with GN was the bizarre and uninformed editorializing. Comments like, the workloads that AMD does well at are not important because they can be accelerated on GPU (not true, but if true, why on earth did GN use it in the first place?). There are other cases where he drops i5s from evaluation for "methodological reasons" but then says R7 == i5. Even based on the tests he ran, this is not true. Anyway, the reddit link goes over this in far more detail than I could (or would).
  • Meteor2 - Tuesday, March 7, 2017 - link

    @DeltaFX2 in what way was GamersNexus conclusion that tasks that can be pushed to GPUs should be incorrect? Are you saying Premiere and Blender can't be used on GPUs?

    GN's conclusion was:

    "If you’re doing something truly software accelerated and cannot push to the GPU, then AMD is better at the price versus its Intel competition. AMD has done well with its 1800X strictly in this regard. You’ll just have to determine if you ever use software rendering, considering the workhorse that a modern GPU is when OpenCL/CUDA are present. If you know specific in stances where CPU acceleration is beneficial to your workflow or pipeline, consider the 1800X."

    I think that's very fair and a very good summary of Ryzen.

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