SPEC CPU2006v1.2 measures compute intensive performance across the system using realistic benchmarks to rate real performance.
In our testing with SPEC CPU2006, we use the basic commands to run these tests.
Runspec -tune=base -config=tweaktown.cfg; then int, or fp.
To do multi-threaded, we add in -rate=40.
When SPEC CPU first came out, these tests could take up to a week to run, but as computers become faster, so do the tests. Our tests take up to four days for a full run now, and even less on some systems.
This benchmark has many different commands to use depending on what the user is looking for. For our tests, we used basic commands that run a full test with a base tune.
Here you can see the SPEC scores after full runs for Integer (int), and Floating Point (fp) tests.
Single-core runs show how fast (speed) a CPU can perform a given task. In the multi-core runs, we set SPEC CPU2006v1.2 to use all threads to measure the throughput of the system.
The additional cores/threads of this system have a huge impact on performance in these tests, and really show the amount of horsepower that a dual-socket system has over a single-socket board.
Single-threaded results are still very important, but when you need many single-threaded apps to run, moving to a dual-socket setup is the way to go.
The overall scores show a moderate to high improvement in single-threaded results, but with multi-threaded results, SmartHeap really shines.
Looking at the results of single-threaded integer runs, we can get an idea of the speed at which the Intel Xeon E5-2470 v2 can crunch through different integer tests. Not all CPUs are equal here, and ones that have a higher speed will perform these tests faster. Naturally, using an overclocked system or CPUs with a higher stock-speed will generate higher results.
For most of the tests, we noticed only a small improvement in results; we did see a huge improvement in 462.Libquantum.
462.Libquantum simulates a quantum computer by running Shor's polynomial-time factorization algorithm.
Now we run the test using all forty threads on the Intel Xeon E5-2470 v2s. In this test, more cores/threads will have a greater effect on the outcome.
When using SmartHeap, we can see a moderate to large impact on these results. Just like in the single-threaded runs, 462.Libquantum really takes advantage of optimizations that SmartHeap provides.
Now we move on to the Integer runs, and here we see the single-threaded results. With the exception of a few results, SmartHeap has shown to greatly improve our results.
We see the largest effect in 436.cactusADM, which solves the Einstein evolution equations using a staggered leapfrog numerical method.
Here we see the results of the multi-core, floating-point run that uses all forty threads on the Intel Xeon E5-2470 v2s. Much like the multi-threaded integer test, more cores/threads will have a greater impact on this test as well.
Using SmartHeap almost doubles every score here. This is where the MC version of SmartHeap really shines. This can really pump up performance when using dual CPU systems if your application can take advantage of SmartHeap optimizations.
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