Investigating Cavium's ThunderX: The First ARM Server SoC With Ambition
by Johan De Gelas on June 15, 2016 8:00 AM EST- Posted in
- SoCs
- IT Computing
- Enterprise
- Enterprise CPUs
- Microserver
- Cavium
Multi-Threaded Integer Performance: SPEC CPU2006
The value of SPEC CPU2006 int rate is questionable as it puts too much emphasis on bandwidth and way too little emphasis on data synchronization. However, it does give some indication of the total "raw" integer compute power available.
Subtest SPECCPU2006 integer |
Application type | Cavium ThunderX 2 GHz |
Xeon D-1587 1.8-2.4 |
Xeon E5-2640 v4 2.4-2.6 |
400.perlbench | Spam filter | 372 | 394 | 322 |
401.bzip2 | Compression | 166 | 225 | 216 |
403.gcc | Compiling | 257 | 218 | 265 |
429.mcf | Vehicle scheduling | 110 | 130 | 224 |
445.gobmk | Game AI | 411 | 337 | 269 |
456.hmmer | Protein seq. analyses | 198 | 299 | 281 |
458.sjeng | Chess | 412 | 362 | 283 |
462.libquantum | Quantum sim | 139 | 126 | 231 |
464.h264ref | Video encoding | 528 | 487 | 421 |
471.omnetpp | Network sim | 121 | 127 | 172 |
473.astar | Pathfinding | 143 | 165 | 195 |
483.xalancbmk | XML processing | 227 | 219 | 266 |
On average, the ThunderX delivers the throughput of an Xeon D1581 or Xeon E5-2640. There are some noticeable differences between the subtest though, especially if you check the scalability.
Subtest SPECCPU2006 integer |
Application type | Cavium ThunderX 2 GHz (48 copies) |
Xeon D-1587 1.8-2.3 (32 copies) |
Xeon E5-2640 v4 2.4-2.6 (20 copies) |
400.perlbench | Spam filter | 43x | 14x | 10x |
401.bzip2 | Compression | 25x | 13x | 11x |
403.gcc | Compiling | 22x | 8x | 9x |
429.mcf | Vehicle scheduling | 15x | 3x | 6x |
445.gobmk | Game AI | 41x | 17x | 12x |
456.hmmer | Protein seq. analyses | 42x | 14x | 11x |
458.sjeng | Chess | 47x | 16x | 11x |
462.libquantum | Quantum sim | 8x | 2x | 4x |
464.h264ref | Video encoding | 42x | 13x | 10x |
471.omnetpp | Network sim | 17x | 6x | 7x |
473.astar | Pathfinding | 16x | 10x | 10x |
483.xalancbmk | XML processing | 27x | 7x | 7x |
Mcf is memory latency bound, but if you run 32 threads on the Xeon D, you completely swamp its memory subsystem. The ThunderX and Xeon E5 scale better simply because they can deliver better bandwidth... but one has to wonder if this has anything to do with what people who actually use mcf will experience, as mcf is mostly latency bound. It seems like a corner case.
The XML processing testis probably a lot closer to the real world: it is much easier to split XML (or JSON) processing into many parallel parts (one per request). This is something that fits the ThunderX very well, it edges out the best Xeon D. The same is true for the video encoding tests. This indicates that the ThunderX is most likely a capable Content Delivery Network (CDN) server.
Gcc and sjeng scale well and as a result, the Thunder-X really shines in these subtests.
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vivs26 - Wednesday, June 15, 2016 - link
Not necessarily - (read Amdahl's law of diminishing returns). The performance actually depends on the workload. Having a million cores guarantees nothing in terms of performance unless the workload is parallelizable which in the real world is not as much as we think it could be. I'm curious to see how xeon merged with altera programmable fabric performs than ARM on a server.maxxbot - Wednesday, June 22, 2016 - link
Technically true but every generation that millstone gets a little smaller, the die area and power needed to translate x86 into uops isn't huge and reduces every generation.jardows2 - Wednesday, June 15, 2016 - link
Interesting. Faster in a few workloads where heavy use of multi-thread is important, but significantly slower in more single thread workloads. For server use, you don't always want parallelized tasks. The results are pretty much across the board for all the processors tested: If the ThunderX was slower, it was slower than all the Intel chips. If it were faster, it was faster than all but the highest end Intel Chips. With the price only being slightly lower than the cheapest Intel chip being sold, I don't think this is going to be a Xeon competitor at all, but will take a few niche applications where it can do better.With no significant energy savings, we should be looking forward to the ThunderX2 to see if it will bring this into a better alternative.
ddriver - Wednesday, June 15, 2016 - link
There is hardly a server workload where you don't get better throughput by throwing more cores and servers at it. Servers are NOT about parallelized task, but about concurrent tasks. That's why while desktops are still stuck at 8 cores, server chips come with 20 and more... Server workloads are usually very simple, it is just that there is a lot of them. They are so simple and take so little time it literally makes no sense parallelizing them.jardows2 - Wednesday, June 15, 2016 - link
In the scenario you described, the single-thread performance takes on even more importance, thus highlighting the advantage the Xeon's currently have in most server configurations.niva - Wednesday, June 15, 2016 - link
Not if the Xeon doesn't have enough cores to actually process 40+ singlethreaded tasks con-currently.hechacker1 - Wednesday, June 15, 2016 - link
But kernels and VMWare know how to schedule multiple threads on 1 core if it's not being fully utilized. Single threaded IPC can make up for not having as many cores. See the iPhone SoCs for another example.ddriver - Wednesday, June 15, 2016 - link
Not if you have thousands of concurrent workloads and only like 8 cores. As fast as each core might be, the overhead from workload context switching will eat it up.willis936 - Thursday, June 16, 2016 - link
Yeah if each task is not significantly longer than a context switch. Context switches are very fast, especially with processors with many sets of SMT registers per core.ddriver - Thursday, June 16, 2016 - link
If what you suggest is correct, then intel would not be investing chip TDP in more cores but higher clocks and better single threaded performance. Clearly this is not the case, as they are pushing 20 cores at the fairly modest 2.4 Ghz.