Benchmark Configuration and Methodology

For our look at the ThunderX2, all of our testing was conducted on Ubuntu Server 17.10, Linux kernel 4.13 64 bit. Normally we would use an LTS version, but since the Cavium shipped with that Ubuntu version, we did not want to take any unnecessary risks by changing the OS. The compiler that ships with this distribution is GCC 7.2.

Unfortunately however, our AMD EPYC system has missed the deadline for this article. We ran into problems with that system right up to press time and are still debugging the matter. But in short, the system did not perform well after we performed a kernel upgrade.

Finally, you will notice that the DRAM capacity varies among our server configurations. The reason is simple: Intel's system has 6 memory channels, while Cavium's ThunderX2 has 8 memory channels.

Gigabyte - Cavium "Saber"

CPU Two Cavium ThunderX2 CN9980 (32 cores at 2.2 - 2.5 GHz)
RAM 512 GB (16x32GB) Micron Reg. DDR4 @2666
Internal Disks SANDISK Cloudspeed Gen II 800 GB
Motherboard Cavium Sabre
BIOS version 18/2/2018
PSU Dual 1600W 80+ Platinum

 

Intel's Xeon "Purley" Server – S2P2SY3Q (2U Chassis)

CPU Two Intel Xeon Platinum 8176  (28 cores at 2.1 GHz, 165W)
RAM 384 GB (12x32 GB) Hynix DDR4-2666
Internal Disks SAMSUNG MZ7LM240 (bootdisk)
Intel SSD3710 800 GB (data)
Motherboard Intel S2600WF (Wolf Pass baseboard)
Chipset Intel Wellsburg
BIOS version 9/02/2017
PSU 1100W PSU (80+ Platinum)

The typical BIOS settings can be seen below. I should also note that we have both hyperthreading and Intel's virtualization technology enabled.

Other Notes

Both servers are fed by a standard European 230V (16 Amps max.) power line. The room temperature is monitored and kept at 23°C by our Airwell CRACs.

Energy Consumption

One thing that concerned us was the fact that the Gigabyte "Saber" system consumed 500W while simply running Linux (so mostly idle). Under load however the system consumed around 800W, which is in line with our expectations, as we have two 180W TDP chips inside. So as is typically the case for early test systems, we are not able to do any accurate power comparisons.

In fact, Cavium claims that the actual systems from HP, Gigabyte and others will be far more power efficient. The "Sabre" testing system we received had several power management problems: immature fan management firmware, a BMC bug, and an oversized (1600W) PSU.

The ThunderX2 SKUs: 16 to 32 Cores Memory Subsystem Measurements
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  • Wilco1 - Wednesday, May 23, 2018 - link

    You might want to study RISC and CISC first before making any claims. RISC doesn't use more instructions than CISC. Vector instructions are actually quite similar on most ISAs. In fact I would say the Neon ones are more powerful and more general due to being well designed rather than added ad-hoc. Reply
  • HStewart - Wednesday, May 23, 2018 - link

    The following site explain the difference using a simple multiply action, where a CISC architecture can do in single instruction, RISC would need to use multiple instructions

    http://www.firmcodes.com/difference-risc-sics-arch...

    of course as time move on RISC chips added more complex operations and CISC also found ways to breaking more complex CISC instruction in smaller RISC like microcode increasing the chip ability to multitask the pipeline.
    Reply
  • Wilco1 - Thursday, May 24, 2018 - link

    The example was about load/store architecture, not multiply. In reality almost all instructions use registers (even on CISCs) since memory is too slow, so it's not a good example of what happens in actual code. The number of executed instructions on large applications is actually very close. The key reason is that compilers avoid all the complex instructions on x86 and mostly use register operations, not memory. Reply
  • Kevin G - Tuesday, May 29, 2018 - link

    Raw instruction counts isn't a good metric to determine the difference between RISC and CISC, especially as both have evolved to include various SIMD and transactional extensions.

    The big thing for RISC is that it only supports a handful of instruction formats, generally all of the same length (traditionally 4 bytes)* and have alignment rules in place. x86 on the other hand leverages a series of prefixes to enhance instructions which permits length up to 15 bytes. On the flip side, there are also x86 instructions that consume a single byte. This also means x86 doesn't have the alignment rules that RISC chips generally adhere to.
    *ARM does offer some compressed instruction formats in Thumb/Thumb2 but they those are also of a fixed length. 16 bit Thumb instructions are half size as 32 bit ARM instructions and have alignment rules as well.

    Modern x86 is radically different internally than its philosophical lineage. x86 instructions are broken down into micro-ops which are RISC-like in nature. These decoded instructions are now being cached to bypass the complex and power hungry decode stages. Compare this to some ARM cores where some instructions do not have to be decoded. While having a simpler decode doesn't directly help with performance, it does impact power consumption.

    However, I would differ and say that ARM's FPU and vector history has been rather troubled. Initially ARM didn't specify a FPU but rather a method to add coprocessors. This lead to 3rd parties producing ARM cores with incompatible FPUs. It wasn't until recently that ARM themselves put their foot down and mandated NEON as the one to rule them all, especially in 64 bit mode.
    Reply
  • peevee - Wednesday, May 23, 2018 - link

    The whole RISC vs CISC distinction is outdated for at least 20 years. Both now include a shi(p)load of instruction far outnumbering original CISC processors like 68000 and 8088 (from the epoch of the whole CISC vs RISC discussion), and both have a lot of architectural registers (which on speculative OoO CPUs are not even the same as real register files). ARMv8 for example includes NEON instructions, which is like... "AVX-128" (or SSE3 or smth).

    A lot of instructions means that both have to have huge decoders, which limits how small the CPU can be (because any reduction in other hardware which decrease performance faster than cost). For 64-bit ARMv8.2 it is very unlikely than an implementation can be made smaller than A55, and it is a huge core (in transistors) compared to even Pentium, let alone 8088.
    Reply
  • HStewart - Wednesday, May 23, 2018 - link

    I think the big difference between SIMD technologies - even though ARM has included they are not as wide as instructions as Intel or AMD. The following link appears to have a good comparison of chip SIMD comparison in size, To me in looks like AMD is on AVX level 8/16 instead of 16/32 in current chips while ARM including Neon is 4 Wide which is actually less than Core 2 SSE instructions from 10 years ago.

    https://stackoverflow.com/questions/15655835/flops...

    It also interesting to note Ryzen stats - which I heard that AMD implement AVX 256 by combine two 128 together

    One thing is that both Intel and AMD CPUs have grown a long ways since 20 years ago. In fact even todays Atom's can out rune most core-2 CPU's from 10 years - not my Xeon 5160 however.
    Reply
  • ZolaIII - Thursday, May 24, 2018 - link

    It's 2x128 NEON SIMD per ARM A75 core which goes into your smartphone.
    Even with smaller SIMD utilising TBL QC Centriq is able to beat up an Xerox Gold.
    https://blog.cloudflare.com/neon-is-the-new-black/
    Reply
  • Wilco1 - Thursday, May 24, 2018 - link

    Modern Arm cores have 2-3 128-bit SIMD units, so 16-24 SP FLOPS/cycle. About half of Skylake theoretical flops, and yet they can match or beat Skylake on many HPC codes. Size is not everything... Reply
  • peevee - Thursday, May 24, 2018 - link

    "ARM including Neon is 4 Wide which is actually less than Core 2 SSE instructions from 10 years ago"

    How is it less? It is the same 128 bits, 2x64 or 4x32 or 2x16...

    And AMD combines 2 AVX-256 operations (not 2 128-bit SSEs) to get AVX-512.
    Reply
  • patrickjp93 - Friday, May 25, 2018 - link

    AMD does NOT have AVX-512. They combine 2 128s into a 256 on Ryzen, ThreadRipper, and Epyc. Reply

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