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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. Ford, et al., “TCP

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

TCP Extensions for Multipath Operation with Multiple Addresses,” [link] Mar 2020 - [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 - [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Ford, et al., “TCP

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Platform Engineering Teams Done Right…

Adrian Cockcroft

We used this model effectively at Netflix when I was their cloud architect from 2010 through 2013. The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. Netflix made many contributions to open source projects by it’s cloud platform team.

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

As for attending USENIX conferences: I finally started attending and speaking at them in 2010 when a community manager encouraged me to (thanks Deirdre Straughan), and since then I've met many friends and connections, including Amy who is now USENIX President, and Rikki with whom I co-chaired the USENIX LISA18 conference. Ford, et al., “TCP

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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. Ford, et al., “TCP

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The Performance Inequality Gap, 2021

Alex Russell

A silver lining on this dark cloud is that mobile JavaScript payload growth paused in 2020. Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version. Mind The Gap.

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Structural Evolutions in Data

O'Reilly

Cloud computing? Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. Google goes a step further in offering compute instances with its specialized TPU hardware.