Remove Benchmarking Remove Development Remove Hardware Remove Speed
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5.5 mm in 1.25 nanoseconds

Randon ASCII

That meant I started having regular meetings with the hardware engineers who were working with IBM on the CPU which gave me even more expertise on this CPU, which was critical in helping me discover a design flaw in one of its instructions , and in helping game developers master this finicky beast. I wrote a lot of benchmarks.

Cache 126
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An analysis of performance evolution of Linux’s core operations

The Morning Paper

For the rest of us, if you really need that extra performance (maybe what you get out-of-the-box or with minimal tuning is good enough for your use case) then you can upgrade hardware and/or pay for a commercial license of a tuned distributed (RHEL). A second takeaway is this: security has a cost! Measuring the kernel. Headline results.

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload.

Tuning 52
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Why OpenStack is like a Crowdfunded Viking Movie

VoltDB

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Attendees could be broken down into several distinct groups. Very Well!”

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Performance Testing - Tools, Steps, and Best Practices

KeyCDN

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. In the context of web development, performance testing entails using software tools to simulate how an application runs under specific circumstances.

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Upcoming of the learned data structures

Abhishek Tiwari

More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. applied their approach of learning based model to B-Tree, Hash-map, and Bloom filter to develop corresponding learned models. Learned indexes.

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Why OpenStack is like a Crowdfunded Viking Movie

VoltDB

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Attendees could be broken down into several distinct groups. Very Well!”