Arm Announces Neoverse V1, N2 Platforms & CPUs, CMN-700 Mesh: More Performance, More Cores, More Flexibilityby Andrei Frumusanu on April 27, 2021 9:00 AM EST
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- Neoverse N1
- Neoverse V1
- Neoverse N2
The Neoverse V1 Microarchitecture: X1 with SVE?
Starting off with the new Neoverse V1, the design is both of a familiar origin, but also has a few distinct features that we see for the first time ever in an Arm CPU. As noted in the introduction, the V1 was designed at the same time as the Cortex-X1 by the same team at Arm’s Austin design centre, with large similarities between the two microarchitectures when it comes to the block structures.
What’s notable about the V1, in comparison to the X1 and of course the predecessor N1, is the fact that this is now an SVE capable processor, with two native 256b SIMD pipelines, and also introducing server-only features such as coherent L1I caches, bFloat16 execution capabilities, and a slew of distinct characteristics we’ll cover in just a bit.
The architectural features of the Neoverse V1 are probably the most complicated in terms of describing – essentially, it’s a v8.4 baseline architecture which also pulls v8.5 and v8.6 features in for the HPC oriented workloads the design is aimed for. Given that we talked about Armv9 only a month ago, this may seem a bit odd, but again we have to remember that the V1 has been designed some time ago and that customers have had the IP for quite a while now, taping in or having already taped out V1 processors.
The big promise of the V1 is its extremely large performance jump over the N1, coming in at an IPC increase of +50%. This sounds large, and it is, but it’s also not all that surprising given that the microarchitecture essentially is 2 microarchitecture design generations newer than the N1, even through from a infrastructure product standpoint it’s only one generation newer.
From a high-level pipeline standpoint and microarchitecture view, the Neoverse V1 is very similar to the X1. It’s still an extremely short pipeline design that has a minimum of 11 stages, with Arm putting a lot of focus on this aspect of their microarchitectures to reduce branch misprediction penalties as much as possible. This aspect of the microarchitecture has remained relatively static over the last few iterations of the Austin family of designs starting with the A76, so Arm notes that the frequency capabilities of the V1 is essentially unchanged when compared to the N1, with performance boosts coming solely from increased IPC.
The V1 sees a lot of the front-end improvements we’ve seen with the Cortex-A77 and Cortex-X1 generations, which saw larger front-end branch improvements such as a doubled up bandwidth for the decoupled fetch unit, much larger L2 BTB to up to 8K entries, and a rearranging and resizing of the lower level BTBs, with the L0 (nanoBTB) growing to 96 entries, and the L1 BTB (microBTB) no longer being present when compared to the Neoverse N1.
The V1 one when compared to the N1 also adds in new structures that hadn’t been present in the design, such as the introduction of a macro-Op cache of up to 3K decoded instructions. The dispatch bandwidth from the Mop cache is 8-wide, while the actual instruction decoder this generation is 5-wide, much the same as on the X1.
The out-of-order windows size is essentially doubled when compared to the Neoverse N1, with the ROB growing to 256 entries. This is actually a tad larger than what Arm was willing to disclose for the Cortex-X1 where the company had only talked about a “OoO window size of 224”, so in this regard this seems to be a differentiation to what we’ve seen in the X1.
On the back-end integer execution pipelines, the design also pulls in the many changes we’ve seen with the A77 generations, which amongst others include a doubling of the branch execution ports, and a new complex ALU capable of simple instructions such as additions as well as more complex operations such as multiplications and divisions.
Obviously enough, the new SIMD pipelines are very different on the V1 given that this is Arm’s first ever SVE capable microarchitecture. The design has two pipelines with seemingly two dedicated schedulers, with native capability for 256b wide SVE vectors. The design is fully backwards compatible for 128b NEON/FP operations in which the pipelines then essentially act as 4x128b units, meaning it has the same execution width as the X1 in that regard.
Compared to the N1, the new design also supports new bFloat16 and Int8 data formats which greatly increase the AI and ML inferencing performance capabilities of the core.
On the memory subsystem side, we also see the increased unit count found on the Cortex-X1, including 2 load/store units and one load unit, meaning the core is capable of up to 3 loads per cycle and 2 stores per cycle maximum. SVE vector bandwidth is 2x32B per cycle for loads, and 32B per cycle for stores.
The core naturally includes the data parallelism improvements seen on the X1 in order to increase MLP (Memory-level parallelism) capabilities.
The L2 cache has also adopted a similar design to that of the X1, which is now 1 cycle faster at the same 1MB size, and has double the number of banks in order for increased access parallelism.
Arm here discloses a quite large reduction in the system level latency for the V1. Besides structural improvements, new generation prefetchers are a big part of this, such as the introduction of a new type of temporal prefetcher which is able to latch onto arbitrary access patterns over time and recognise subsequent iterations of the same pattern, and pull the data in.
Arm discloses that the core has new dynamic prefetching behaviour that plays a major role in reducing L2 to interconnect traffic, which is a critical metric in large core count systems where every byte of bandwidth needs to be of actual use and cannot be wasted for wrongly speculated prefetching.
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michael2k - Tuesday, April 27, 2021 - linkMaybe dotjaz meant you couldn't mix 8.5 and 8.2 architectures?
In any case, DynamIQ, not big.LITTLE, is more relevant now. Also, if people really want to push for an out of order big.LITTLE, why not use the A78 for the big core and the older A76 as the little core? Both A76 and A78 can be fabricated at 5nm, and the A76 would use less power by dint of being able to do less work per clock, which is fine for the kind of work a little core would do anyway.
Does DynamIQ allow for a mix of A76 and A78?
smalM - Thursday, April 29, 2021 - linkYes.
But the maximum is 4 A7x Cores. Only A78C can scale to 8 Cores in one DynamIQ cluster.
dotjaz - Thursday, April 29, 2021 - linkNo, big.LITTLE is the correct term. DynamIQ is an umbrella term. The part related to mixing uarch is still b.L, nothing has changed.
dotjaz - Thursday, April 29, 2021 - linkAnd yes, I mean what I wrote, architectures or ISA, not uarch.
dotjaz - Thursday, April 29, 2021 - linkName one example where ARCHITECTURES were mixed. Microarchitectures are of course mixed, otherwise it won't be b.L
Zingam - Wednesday, April 28, 2021 - linkDo you remember the forum experts taunting that Intel is so much better and arm so weak, it will never be competitive?
Matthias B V - Tuesday, April 27, 2021 - linkThanks for asking. Can't watch it a for years small A55 didn't get any update or successor.
For me it would be even more improtant to update those as lots of tasks run on those rather than high perfromance cores. But I guess it is just better for marketing talk about big gains in theoretical pefromance.
At least I expect an update now. Just hope it won't be the only one...
SarahKerrigan - Tuesday, April 27, 2021 - linkThe lack of deep uarch details on the N2 is disappointing, but I guess we'll probably see what Matterhorn looks like in a few weeks so not a huge deal.
eastcoast_pete - Tuesday, April 27, 2021 - linkI am waiting for the first in-silicone V1 design that Andrei and others can put through its paces. N2 is quite a while away, but yes, maybe we'll see a Matterhorn design in a mobile chip in the next 12 months. As for V1, I am curious to learn what, if anything, Microsoft has cooked up. They've been quite busy trying to keep up with AWS and it's Gravitons.
mode_13h - Tuesday, April 27, 2021 - link> in-silicone
Just picturing a jiggly, squidgy CPU core... had to LOL at that!