Investigating Cavium's ThunderX: The First ARM Server SoC With Ambition

Java Performance

The SPECjbb 2015 benchmark has "a usage model based on a world-wide supermarket company with an IT infrastructure that handles a mix of point-of-sale requests, online purchases, and data-mining operations." It uses the latest Java 7 features and makes use of XML, compressed communication, and messaging with security.

We tested with four groups of transaction injectors and backends. The Java version was OpenJDK 1.8.0_91.

We applied relatively basic tuning to mimic real-world use, while aiming to fit everything inside a server with 64 GB of RAM (to be able to compare to lower end systems):

"-server -Xmx8G -Xms8G -Xmn4G -XX:+AlwaysPreTouch -XX:+UseLargePages"

With these settings, the benchmark takes about 43-55GB of RAM. Java tends to consume more RAM as more core/threads are involved. Therefore, we also tested the Xeon E5-2640v4 and ThunderX with these settings:

"-server -Xmx24G -Xms24G -Xmn16G -XX:+AlwaysPreTouch -XX:+UseLargePages"

The setting above uses about 115 GB. The labels "large" ("large memory footprint") report the performance of these settings. We did not give the Xeon D-1581 the same treatment as we wanted to mimic the fact that the Xeon has only 4 DIMM slots, while the Xeon E5 and ThunderX have (at least) eight.

The first metric is basically maximum throughput.

Notice how the Xeon D-1581 beats the Xeon E5-2640 in a typical throughput situation by 8%, while the SPECint_rate numbers told us that the Xeon E5 would be slightly faster. It is a typical example of how running parallel instances overemphasizes bandwidth. The extra 6 cores (@2.1 GHz) push the Xeon D past the Xeon E5 (10 cores@ 2.6 GHz) despite the fact that the Xeon D has only half the bandwidth available.

The ThunderX offers low end Xeon E5 performance, but that still a lot better than what we would have expected from the SPECint_rate numbers (Dual socket ThunderX = Xeon-D). Once we offer more memory to ThunderX, performance goes up by 14%. The Xeon E5 gets a 10% performance boost.

The Critical-jOPS metric is a throughput metric under response time constraint.

The critical jOPS is the most important metric as it shows how many requests can be served in a timely manner. At first we though that the lack of single threaded performance to run the heavier pieces of Java code fast enough is what made the ThunderX so much slower than the rest of the pack.

However, the 48 threads were mostly hindered by the lack of memory per thread. Once we offer enough memory to the 48-headed ThunderX, performance explodes: it is multiplied by 2.4x! The Xeon E5 benefits too, but performance is "only" 60% higher. Thanks to the DRAM breathing room, the ThunderX moves from "slower than low end Xeon D" to "midrange Xeon E5" territory.

SPECJBB^®2015 is a registered trademark of the Standard Performance Evaluation Corporation (SPEC).