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An analysis of performance evolution of Linux’s core operations

The Morning Paper

Most Linux users cannot afford the amount of resource large enterprises like Google put into custom Linux performance tuning… For Google of course, there’s an economy of scale that makes all that effort worth it. On the exact same hardware, the benchmark suite is then used to test 36 Linux release versions from 3.0

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Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

Last time out we saw how Google have been able to save millions of dollars though memory compression enabled via zswap. Looking across a set of eight Java benchmarks, we find that only two of them are array dominated, the rest having between 40% to 75% of the heap footprint allocated to objects, the vast majority of which are small.

Cache 61
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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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Upcoming of the learned data structures

Abhishek Tiwari

This is a question recently asked and explored by a team of Google researchers led by Jeff Dean with a major focus on database indexes. Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community. Learned indexes.

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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. Google Lighthouse Google Lighthouse is a free and open source tool that is part of the Google Chrome DevTools family. What is Performance Testing?

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The Return of the Frame Pointers

Brendan Gregg

It was also a virtual machine that lacked low-level hardware profiling capabilities, so I wasn't able to do cycle analysis to confirm that the 10% was entirely frame pointer-based. Google should be no surprise because they pioneered continuous profiling.) The actual overhead depends on your workload. Back-end servers.

Java 145
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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

One, by researching on the Internet; Two, by developing small programs and benchmarking. According to other comparisons [Google for 'Performance of Programming Languages'] spread over the net, they clearly outshine others in all speed benchmarks. The legacy languages — be it ASM or C still rule in terms of performance.

Java 207