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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. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 207
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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52
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Machine learning systems are stuck in a rut

The Morning Paper

Systems researchers are doing an excellent job improving the performance of 5-year old benchmarks, but gradually making it harder to explore innovative machine learning research ideas. Performance on accelerators matters because almost all current machine learning research, and most training of production models, uses them.

Systems 87
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Progress Delayed Is Progress Denied

Alex Russell

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. Provides support for "unread counts", e.g. for email and chat programs.

Media 145
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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. I fear we will not be so lucky; an entire generation has been trained to ignore reality, to prize tribalism rather than engineering rigor, and to devalue fundamentals.

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

High Scalability

Once it's resolved our pipeline takes over and the ticket catches the next release train. The next release train is verified by automated REST API tests and some manual smoke tests. The dedicated Security team runs automated security benchmark tests before every release. How are software and hardware upgrades rolled out?