Feeding the Beast

When frequency was all that mattered for CPUs, the main problem became efficiency, thermal performance, and yields: the higher the frequency was pushed, the more voltage needed, the further outside the peak efficiency window the CPU was, and the more power it consumed per unit work. For the CPU that was to sit at the top of the product stack as the performance halo part, it didn’t particularly matter – until the chip hit 90C+ on a regular basis.

Now with the Core Wars, the challenges are different. When there was only one core, making data available to that core through caches and DRAM was a relatively easy task. With 6, 8, 10, 12 and 16 cores, a major bottleneck suddenly becomes the ability to make sure each core has enough data to work continuously, rather than waiting at idle for data to get through. This is not an easy task: each processor now needs a fast way of communicating to each other core, and to the main memory. This is known within the industry as feeding the beast.

Top Trumps: 60 PCIe Lanes vs 44 PCIe lanes

After playing the underdog for so long, AMD has been pushing the specifications of its new processors as one of the big selling points (among others). Whereas Ryzen 7 only had 16 PCIe lanes, competing in part against CPUs from Intel that had 28/44 PCIe lanes, Threadripper will have access to 60 lanes for PCIe add-in cards. In some places this might be referred to as 64 lanes, however four of those lanes are reserved for the X399 chipset. At $799 and $999, this competes against the 44 PCIe lanes on Intel’s Core i9-7900X at $999.

The goal of having so many PCIe lanes is to support the sort of market these processors are addressing: high-performance prosumers. These are users that run multiple GPUs, multiple PCIe storage devices, need high-end networking, high-end storage, and as many other features as you can fit through PCIe. The end result is that we are likely to see motherboards earmark 32 or 48 of these lanes for PCIe slots (x16/x16, x8/x8/x8/x8, x16/x16/x16, x16/x8/x16/x8), followed by a two or three for PCIe 3.0 x4 storage via U.2 drives or M.2 drives, then faster Ethernet (5 Gbit, 10 Gbit). AMD allows each of the PCIe root complexes on the CPU, which are x16 each, to be bifurcated down to x1 as needed, for a maximum of 7 devices. The 4 PCIe lanes going to the chipset will also support several PCIe 3.0 and PCIe 2.0 lanes for SATA or USB controllers.

Intel’s strategy is different, allowing 44 lanes into x16/x16/x8 (40 lanes) or x16/x8/x16/x8 (40 lanes) or x16/x16 to x8/x8/x8x8 (32 lanes) with 4-12 lanes left over for PCIe storage or faster Ethernet controllers or Thunderbolt 3. The Skylake-X chipset then has an additional 24 PCIe lanes for SATA controllers, gigabit Ethernet controllers, SATA controllers and USB controllers.

Top Trumps: DRAM and ECC

One of Intel’s common product segmentations is that if a customer wants a high core count processor with ECC memory, they have to buy a Xeon. Typically Xeons will support a fixed memory speed depending on the number of channels populated (1 DIMM per channel at DDR4-2666, 2 DIMMs per channel at DDR4-2400), as well as ECC and RDIMM technologies. However, the consumer HEDT platforms for Broadwell-E and Skylake-X will not support these and use UDIMM Non-ECC only.

AMD is supporting ECC on their Threadripper processors, giving customers sixteen cores with ECC. However, these have to be UDIMMs only, but do support DRAM overclocking in order to boost the speed of the internal Infinity Fabric. AMD has officially stated that the Threadripper CPUs can support up to 1 TB of DRAM, although on close inspection it requires 128GB UDIMMs, which max out at 16GB currently. Intel currently lists a 128GB limit for Skylake-X, based on 16GB UDIMMs.

Both processors run quad-channel memory at DDR4-2666 (1DPC) and DDR4-2400 (2DPC).

Top Trumps: Cache

Both AMD and Intel use private L2 caches for each core, then have a victim L3 cache before leading to main memory. A victim cache is a cache that obtains data when it is evicted from the cache underneath it, and cannot pre-fetch data. But the size of those caches and how AMD/Intel has the cores interact with them is different.

AMD uses 512 KB of L2 cache per core, leading to an 8 MB of L3 victim cache per core complex of four cores. In a 16-core Threadripper, there are four core complexes, leading to a total of 32 MB of L3 cache, however each core can only access the data found in its local L3. In order to access the L3 of a different complex, this requires additional time and snooping. As a result there can be different latencies based on where the data is in other L3 caches compared to a local cache.

Intel’s Skylake-X uses 1MB of L2 cache per core, leading to a higher hit-rate in the L2, and uses 1.375MB of L3 victim cache per core. This L3 cache has associated tags and the mesh topology used to communicate between the cores means that like AMD there is still time and latency associated with snooping other caches, however the latency is somewhat homogenized by the design. Nonetheless, this is different to the Broadwell-E cache structure, that had 256 KB of L2 and 2.5 MB of L3 per core, both inclusive caches.

The AMD Ryzen Threadripper 1950X and 1920X Review Silicon, Glue, & NUMA Too
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  • verl - Thursday, August 10, 2017 - link

    "well above the Ryzen CPUs, and batching the 10C/8C parts from Broadwell-E and Haswell-E respectively"

    ??? From the Power Consumption page.
  • bongey - Thursday, August 10, 2017 - link

    Yep if you use AVX-512 it will down clock to 1.8Ghz and draw 400w just for the CPU alone and 600w from the wall. See der8auer's video title "The X299 VRM Disaster (en)", all x299 motherboards VRMs can be ran into thermal shutdown under avx 512 loads, with just a small overclock, not to mention avx512 crazy power consumption. That is why AMD didn't put avx 512 in Zen, it is power consumption monster.
  • TidalWaveOne - Thursday, August 10, 2017 - link

    Glad I went with the 7820X for software development (compiling).
  • raddude9 - Thursday, August 10, 2017 - link

    In ars' review they have TR-1950X ahead of the i9-7900X for compilation:
    https://arstechnica.co.uk/gadgets/2017/08/amd-thre...

    In short it's very difficult to test compilation, every project you build has different properties.
  • emn13 - Thursday, August 10, 2017 - link

    Yeah, the discrepency is huge - converted to anandtech's compile's per day the arstechnica benchmark maxes out at a little less than 20, which is a far cry from the we see here.

    Clearly, the details of the compiler, settings and codebase (and perhaps other things!) matter hugely.

    That's unfortunate, because compilation is annoyingly slow, and it would be a boon to know what to buy to ameliorate that.
  • prisonerX - Thursday, August 10, 2017 - link

    This is very compiler dependent. My compiler is blazingly fast on my wimpy hardware becuase it's blazingly clever. Most compilers seem to crawl no matter what they run on.
  • bongey - Thursday, August 10, 2017 - link

    Looks like anandtech's benchmark for compiling is bunk, it's just way off from all the other benchmarks out there. Not only that, no other test shows a 20% improvement over the 6950x which is also a 10 core/20 thread cpu. Something tells me the 7900x is completely wrong or has something faster like a different pcie ssd.
  • Chad - Thursday, August 10, 2017 - link

    All I know is, for those of us running Plex, SABnzbd, Sonarr, Radarr servers simultaneously (and others), while encoding and gaming all simultaneously, our day has arrived!

    :)
  • Ian Cutress - Thursday, August 10, 2017 - link

    We checked with Ars as to their method.

    We use a fixed late March build around v56 under MSVC
    Ars use a fixed newer build around v62 via clang-cl using VC++ linking

    Same software, different compilers, different methods. Our results are faster than Ars, although Ars' results seem to scale better.
  • ddriver - Friday, August 11, 2017 - link

    Of every review out there, only your "superior testing methodology" presents a picture where TR is slower than SX.

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