One of the critical deficits Intel has to its competition in its server platform is core count – other companies are enabling more cores by one of two routes: smaller cores, or individual chiplets connected together. At its Architecture Day 2021, Intel has disclosed features about its next-gen Xeon Scalable platform, one of which is the move to a tiled architecture. Intel is set to combine four tiles/chiplets through its fast embedded bridges, leading to better CPU scalability at higher core counts. As part of the disclosure, Intel also expanded on its new Advanced Matrix Extension (AMX) technology, CXL 1.1 support, DDR5, PCIe 5.0, and an Accelerator Interfacing Architecture that may lead to custom Xeon CPUs in the future.

What is Sapphire Rapids?

Built on an Intel 7 process, Sapphire Rapids (SPR) will be Intel’s next-generation Xeon Scalable server processor for its Eagle Stream platform. Using its latest Golden Cove processor cores which we detailed last week, Sapphire Rapids will bring together a number of key technologies for Intel: Acceleration Engines, native half-precision FP16 support, DDR5, 300-Series Optane DC Persistent Memory, PCIe 5.0, CXL 1.1, a wider and faster UPI, its newest bridging technology (EMIB), new QoS and telemetry, HBM, and workload specialized acceleration.

Set to launch in 2022, Sapphire Rapids will be Intel’s first modern CPU product to take advantage of a multi-die architecture that aims to minimize latency and maximize bandwidth due to its Embedded Multi-Die Interconnect Bridge technology. This allows for more high-performance cores (Intel hasn’t said how many just quite yet), with the focus on ‘metrics that matter for its customer base, such as node performance and data center performance’. Intel is calling SPR the ‘Biggest Leap in DC Capabilities in a Decade’.

The headline benefits are easy to rattle off. PCIe 5.0 is an upgrade over the previous generation Ice Lake PCIe 4.0, and we move from six 64-bit memory controllers of DDR4 to eight 64-bit memory controllers of DDR5. But the bigger improvements are in the cores, the accelerators, and the packaging.

Golden Cove: A High-Performance Core with AMX and AIA

By using the same core design on its enterprise platform Sapphire Rapids and consumer platform Alder Lake, there are some of the same synergies we saw back in the early 2000s when Intel did the same thing. We covered Golden Cove in detail in our Alder Lake architecture deep dive, however here’s a quick recap:

The new core, according to Intel, will over a +19% IPC gain in single-thread workloads compared to Cypress Cove, which was Intel’s backport of Ice Lake. This comes down to some big core changes, including:

  • 16B → 32B length decode
  • 4-wide → 6-wide decode
  • 5K → 12K branch targets
  • 2.25K → 4K μop cache
  • 5 → 6 wide allocation
  • 10 → 12 execution ports
  • 352 → 512-entry reorder buffer

The goal of any core is to process more things faster, and the newest generation tries to do it better than before. A lot of Intel’s changes make sense, and those wanting the deeper details are encouraged to read our deep dive.

There are some major differences between the consumer version of this core in Alder Lake and the server version in Sapphire Rapids. The most obvious one is that the consumer version does not have AVX-512, whereas SPR will have it enabled. SPR also has a 2 MB private L2 cache per core, whereas the consumer model has 1.25 MB. Beyond this, we’re talking about Advanced Matrix Extensions (AMX) and a new Accelerator Interface Architecture (AIA).

So far in Intel’s CPU cores we have scalar operation (normal) and vector operation (AVX, AVX2, AVX-512). The next stage up from that is a dedicated matrix solver, or something akin to a tensor core in a GPU. This is what AMX does, by adding a new expandable register file with dedicated AMX instructions in the form of TMUL instructions.

AMX uses eight 1024-bit registers for basic data operators, and through memory references, the TMUL instructions will operate on tiles of data using those tile registers. The TMUL is supported through a dedicated Engine Coprocessor built into the core (of which each core has one), and the basis behind AMX is that TMUL is only one such co-processor. Intel has designed AMX to be wider-ranging than simply this – in the event that Intel goes deeper with its silicon multi-die strategy, at some point we could see custom accelerators being enabled through AMX.

Intel confirmed that we shouldn’t see any frequency dips worse than AVX – there are new fine-grained power controllers per core for when vector and matrix instructions are invoked.

This feeds quite nicely into discussing AIA, the new accelerator interface. Typically when using add-in accelerator cards, commands must navigate between kernel and user space, set up memory, and direct any virtualization between multiple hosts. The way Intel is describing its new Acceleration Engine interface is akin to talking to a PCIe device as if it were simply an accelerator on board to the CPU, even though it’s attached through PCIe.

Initially, Intel will have two capable AIA bits of hardware.

Intel Quick Assist Technology (QAT) is one we’ve seen before, as it showcased inside special variants of Skylake Xeon’s chipset (that required a PCIe 3.0 x16 link) as well as an add-in PCIe card – this version will support up to 400 Gb/s symmetric cryptography, or up to 160 Gb/s compression plus 160 Gb/s decompression simultaneously, double the previous version.

The other is Intel’s Data Streaming Accelerator (DSA). Intel has had documentation about DSA on the web since 2019, stating that it is a high-performance data copy and transformation accelerator for streaming data from storage and memory or to other parts of the system through a DMA remapping hardware unit/IOMMU. DSA has been a request from specific hyperscaler customers, who are looking to deploy it within their own internal cloud infrastructure, and Intel is keen to point out that some customers will use DSA, some will use Intel’s new Infrastructure Processing Unit, while some will use both, depending on what level of integration or abstraction they are interested in. Intel told us that DSA is an upgrade over the Crystal Beach DMA engine which was present on the Purley (SKL+CLX) platforms.

On top of all this, Sapphire Rapids also supports AVX512_FP16 instructions for half-precision, mostly for AI workloads as part of its DLBoost strategy (Intel was quite quiet on DLBoost during the event). These FP16 commands can also be used as part of AMX, alongside INT8 and BF16 support. Intel now also supports CLDEMOTE for cache-line management.

A Side Word about CXL

Throughout the presentations of Sapphire Rapids, Intel has been keen to highlight it will support CXL 1.1 at launch. CXL is a connectivity standard designed to handle much more than what PCIe does – aside from simply acting as a data transfer from host to device, CXL has three branches to support, known as IO, Cache, and Memory. As defined in the CXL 1.0 and 1.1 standards, these three form the basis of a new way to connect a host with a device. 

Naturally it was our expectation that all CXL 1.1 devices would support all three of these standards. It wasn’t until Hot Chips, several days later, that we learned Sapphire Rapids is only supporting part of the CXL standard, specifically CXL.io and CXL.cache, but CXL.memory would not be part of SPR. We're not sure to what extent this means SPR isn't CXL 1.1 compliant, or what it means for CXL 1.1 devices - without CXL.mem, as per the diagram above, all Intel loses is Type-2 support. Perhaps this is more of an indication that the market around CXL is better served by CXL 2.0, which will no doubt come in a later product.

In the next page, we look at Intel's new tiled architecture for Sapphire Rapids.

The March of More Silicon: Connectivity Matters
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  • Spunjji - Tuesday, August 31, 2021 - link

    So...
    Lots of cores probably, but we don't know how many.
    No word on costs, but 4 large dies on a process that has yet to yield well + EMIB with high-power chips + double the number of masks required for the product doesn't speak to being economical.
    CXL 1.1, only not exactly, just bits of it.
    Lots of AI-friendly stuff, but people are already doing AI stuff on dedicated accelerators.
    Moar Sockits, though! Whee!

    Honestly, I'm a little concerned. This looks like it's going to be wildly expensive and not very compelling. I hope the smaller dies are a little less absurd.
    Reply
  • Kamen Rider Blade - Tuesday, August 31, 2021 - link

    According to leaks, 14 Cores per Tile is the Max / (100%) yield.

    2 of the spots that would be used for a 4x4 2D-array of cores is used for Inter-connect management.
    Reply
  • repoman27 - Tuesday, August 31, 2021 - link

    Someone has already disassembled and posted images of a Sapphire Rapids XCC engineering sample: https://www.bilibili.com/read/cv11692201 The SPR XCC SKUs are expected to top out at 56 cores, however, the individual dies clearly feature a 4x4 grid with 15 CPU core tiles plus an IMC tile (for the two DDR5 controllers). The dies are 426 mm², and according to the roadmaps at least one CPU core per die will be disabled.

    Intel typically produces three floorplan designs for each Xeon Scalable generation, e.g. XCC, HCC, and LCC. While they are burning two tape-outs with the left and right XCC dies for SPR, there is also supposedly an up to 34 core MCC product in the works. If Intel were to add another column to the XCC die—three more CPU core tiles and another IMC tile—they would end up with an 18-core die with four memory channels. A two die package would have up to 36 cores (or 34 with at least one core disabled on each die) and still have 8-channel memory. An 18-core, 4-channel HEDT or workstation product would also be possible using a single die.
    Reply
  • Spunjji - Tuesday, September 7, 2021 - link

    Interesting. That would certainly help to fill out a bunch of products further down the line, but wouldn't it also require double the masks to produce a mirror design of the die?

    Still, it (alongside the process improvements) should at least help end the yield problems they've had with Ice Lake SP.
    Reply
  • WaltC - Tuesday, August 31, 2021 - link

    I always get a kick these days to see "Intel's Process 7" stated with a straight face and no qualifier. Trying desperately to achieve some sort of marketing-level process equality with AMD/TSMC (who can unashamedly and accurately say "7nm".) This is what "we're behind" marketing looks like, I guess. Intel seems to have learned a lot from its previous association with Apple--well, at least in terms of marketing...;) Reply
  • WaltC - Tuesday, August 31, 2021 - link

    Wanted to add that all of this wordage used to describe vaporware is beginning to remind me of a lot of Larrabee. Although to be fair, I really do think that at some point Intel will have something to sell here...at some point. That'll be nice because then we won't be discussing vaporware any longer. Reply
  • Wrs - Tuesday, August 31, 2021 - link

    What if I tell you they're technically close to equivalent to TSMC 7 and Samsung 5? You can specify a process to be as advanced as you want, the question is whether/how well you can build it. Originally what was called Intel 10nm was very ambitious, way better than TSMC's 10nm. Only it would take Intel 7 years in between nodes rather than the expected 2-3, giving TSMC all the time to catch up and more. Today TSMC is in pole position - we're just waiting for their 5 to mature to reach desktop/server power density. Reply
  • Calin - Wednesday, September 1, 2021 - link

    The "nanometers" you're so faithful to are just a small bit of the entire wafer-to-microprocessor saga. Intel, Global Foundries (ex-AMD), TSMC, Samsung and the others have different measurements in all of these areas, and some production choices are better than other.
    The "Feature Size" (the so-called nanometers) is not the only "measuring stick" - you also have vias (i.e. the width of the electrical connections), the uniformity with which you can produce something (leading to a lower voltage overall, as there are no "outliers" that need that extra voltage to work), ...
    As for "transistor density" - this varies across processes and process variants, and is also affected by the "library" (high density or low density - one for the most transistors at lower power, the other with less transistors on the same area but it has better frequency and can cool a higher power-per-transistor).
    Anyway, here's an article with helpful pictures - Intel 10nm is relatively similar to TSMC 7nm in density, it's below just by a bit and not by the 49% straight math would suggest (i.e. 10x10=100 transistors in a 70nmx70nm square for TSMC and 7x7=49 transistors for Intel 10nm).
    https://hexus.net/tech/news/cpu/145645-intel-14nm-...
    Reply
  • Foeketijn - Wednesday, September 1, 2021 - link

    I agree, but like to add Intels 10nm is about as small as the TSMC 7nm. It's like, at what height do you measure the treetrunks width. Reply
  • drothgery - Wednesday, September 1, 2021 - link

    Process names have been marketing, not measurements of any actual feature size since they were naming processes by microns. And others have noted that what Intel's calling Intel 7 now is pretty similar density to TSMC N7 for CPUs. I'd also note that TSMC's actual name for what's commonly called their "7nm" is "N7", not "7nm"; no nanometers there either. Reply

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