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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. One, by researching on the Internet; Two, by developing small programs and benchmarking.

Java 207
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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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InnoDB Performance Optimization Basics

Percona

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Benchmark before you decide. If all of this seems overwhelming or difficult to understand, our world-class MySQL Training is here to help.

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Beyond data and model parallelism for deep neural networks

The Morning Paper

The goal here is to reduce the training times of DNNs by finding efficient parallel execution strategies, and even including its search time, FlexFlow is able to increase training throughput by up to 3.3x FlexFlow is also given a device topology graph describing all the available hardware devices and their interconnections.

Network 81
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The Performance Inequality Gap, 2024

Alex Russell

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. India's speed test medians are moving quickly, but variance is orders-of-magnitude wide, with 5G penetration below 25% in the most populous areas.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Once it's resolved our pipeline takes over and the ticket catches the next release train. How are software and hardware upgrades rolled out? How do you handle security?