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1. #ONLINE CPU BENCHMARK COMPARISON HOW TO#
2. #ONLINE CPU BENCHMARK COMPARISON DRIVERS#
3. #ONLINE CPU BENCHMARK COMPARISON DRIVER#
4. #ONLINE CPU BENCHMARK COMPARISON CODE#

I used the best benchmark I possibly could: my own use case. Some con!gurations will be inaccessible due to weird limitations and you will have no idea why. With AWS or Azure, you will be spending hours dealing with resources, resource groups, regions, availability sets, ACLs, network security groups, VPCs, storage accounts and other miscellanea. With Digital Ocean, Vultr or Linode you will be up and running in no time, with simple web UIs that make sense. I !nd this to be rather silly and I don’t understand why in the age of global cloud computing I still have to ask and specify which instances I’d like to use in which particular regions before Microsoft kindly allows me to.Īssuming you can actually get access to VM instances, there is a big di#erence in how complex the management is. There was a moment when I was spending more time dealing with various tiers of Microsoft support than testing. This process can be quick and painless with smaller providers, but can also explode into a major time sink, like it does with Azure. As a new user, you get access to the basic VM types, and have to ask your vendor nicely so that they allow you to spend more money with them.

One thing I quickly discovered is that what the vendors advertise is often not available. What do they call a computer, is it a server, plan, droplet, size, node, horse, beast, or a daemon from the underworld? This is rather annoying, as one has to learn all the cute names that the particular vendor has invented.

#ONLINE CPU BENCHMARK COMPARISON DRIVERS#

The other drivers are non-existent, $aky or limited, so one has to use vendor-speci!c tools. You can use Digital Ocean, AWS and Azure directly from within docker-machine.

#ONLINE CPU BENCHMARK COMPARISON DRIVER#

I think every cloud operator should contribute their driver to docker-machine, and I don’t understand why so few do. Sadly, this is only possible with a select few providers. In an ideal world, I would sign up on a web site, get an API key, put that into docker-machine and use docker-machine for everything else. Signing up and trying to run the various virtual machines o#ered by cloud operators was very telling. Setting up and differences between cloud providers Also, those are the ones that at least promise fast CPUs (for example, Google famously doesn’t much care about individual CPU speed, so I didn’t try their servers). Why those? Well, those are the ones I could quickly find and sign up for without too much hassle. Linode (dedicated 8GB 4vCPU, dedicated 16GB 8vCPU).Amazon AWS (c5.xlarge, c5.2xlarge, c5d.2xlarge, z1d.xlarge).There is no standardization on how Dhrystone results should be reported, with various formats in use (DMIPS, Dhrystones per second, DMIPS/MHz)įor a deeper dive into Dhrystone, checkout this analysis from the EEMBC Certification Lab in 2002.

#ONLINE CPU BENCHMARK COMPARISON HOW TO#

Finally, guidelines exist on how to run Dhrystone, but since results are not certified or verified, they are not enforced.

#ONLINE CPU BENCHMARK COMPARISON CODE#

Since the library code is not part of the benchmark, it is difficult to compare results if different libraries are used. Typically, those library calls consume the majority of the time consumed by the benchmark. Likewise, library calls are made within the timed portion of Dhrystone. Dhrystone is thus more revealing as a compiler benchmark than as a hardware benchmark. For example, major portions of Dhrystone actually expose the compiler’s ability to optimize the workload rather than the capabilities of an MCU or CPU. Unlike Dhrystone, CoreMark has specific run and reporting rules, and was designed to avoid problematic aspects of Dhrystone. Like Dhrystone, CoreMark is small, portable, easy to understand, free, and displays a single number benchmark score.