Remove Benchmarking Remove Exercise Remove Hardware Remove Tuning
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An analysis of performance evolution of Linux’s core operations

The Morning Paper

Perhaps the most interesting lesson/reminder is this: it takes a lot of effort to tune a Linux kernel. Google’s data center kernel is carefully performance tuned for their workloads. A micro-benchmark suite, LEBench was then built around tee system calls responsible for most of the time spent in the kernel. Headline results.

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How to Assess MySQL Performance

HammerDB

Instead, focus on understanding what the workloads exercise to help us determine how to best use them to aid our performance assessment. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. For the experiments in this blog, we did not tune the system. 4.22 %usr 38.40

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The top 5 reasons to run your own database benchmarks

HammerDB

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

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A peculiar throughput limitation on Intel’s Xeon Phi x200 (Knights Landing)

John McCalpin

There was no deep goal — just a desire to see the maximum GFLOPS in action. The exercise seemed simple enough — just fix one item in the Colfax code and we should be finished. This is an uninspiring fraction of peak performance that would normally suggest significant inefficiencies in either the hardware or software.

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