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Invited Talk at SuperComputing 2016!

John McCalpin

“Memory Bandwidth and System Balance in HPC Systems” If you are planning to attend the SuperComputing 2016 conference in Salt Lake City next month, be sure to reserve a spot on your calendar for my talk on Wednesday afternoon (4:15pm-5:00pm).

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The Performance Inequality Gap, 2021

Alex Russell

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. Poor performance has a compound effect on user expectations at an ecosystem level. Live by the link, die by the link.

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The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

This was a keynote presentation at the “2nd International Workshop on Performance Modeling: Methods and Applications” (PMMA16), June 23, 2016, Frankfurt, Germany (in conjunction with ISC16 ). This data is from the 2007 presentation.

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Fixing a slow site iteratively

CSS - Tricks

Site performance is potentially the most important metric. The better the performance, the better chance that users stay on a page, read content, make purchases, or just about whatever they need to do. Google’s industry benchmarks from 2018 also provide a striking breakdown of how each second of loading affects bounce rates.

Cache 92
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Progress Delayed Is Progress Denied

Alex Russell

Classics of the genre include: Apple's just focused on performance! The Performance Argument. 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. This is as it should be.

Media 145
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Can You Afford It?: Real-world Web Performance Budgets

Alex Russell

TL;DR: performance budgets are an essential but under-appreciated part of product success and team health. Nobody is trying to do a poor job, and yet the results of a “completed” PWA project often require weeks or months of painstaking rework to deliver minimally acceptable performance. Partner meetings are illuminating.

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AMD EPYC Processors in Azure Virtual Machines

SQL Performance

The L3 cache size is 64MB. The AMD EPYC 7551 processor has slightly lower single-threaded CPU performance when compared to the older 2.3 I wrote about using CPU-Z to benchmark the Intel Xeon E5-2673 v3 processor in an Azure VM in this article. Figure 1: CPU-Z Benchmark Results for LS16v2. The L3 cache size is 64MB.

Azure 42