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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

The video is on [youtube]: The slides are on [slideshare] or as a [PDF]: I work on many areas of performance, but recently I've had a lot of demand to talk about BPF. This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

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New: The Datacenter as a Computer: Designing Warehouse-Scale Machines, Third Edition

High Scalability

Five years ago when Google published The Datacenter as a Computer: Designing Warehouse-Scale Machines it was a manifesto declaring the world of computing had changed forever. Since then the world has chosen to ride along with Google. Hop aboard or be left behind at the station. What's different?

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Generative AI in the Enterprise

O'Reilly

Such policies would be designed to mitigate legal problems and require regulatory compliance. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises? of nonusers.

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

Brendan Gregg

The video is now on [YouTube]: The slides are [online] and as a [PDF]: first prev next last / permalink/zoom In Q&A I was asked about CXL (compute express link) which was fortunate as I had planned to cover it and then forgot, so the question let me talk about it (although Q&A is missing from the video).

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A Brief Guide of xPU for AI Accelerators

ACM Sigarch

BPU: Brain Processing Unit is the design of the AI chips by Horizon Robotics. With its modular architecture, DLA is scalable, highly configurable, and designed to simplify integration and portability. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens.

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AVIF for Next-Generation Image Coding

The Netflix TechBlog

With the motion extension, it was accepted as the video coding standard for digital cinema in 2004. The webp format was introduced by Google around 2010. Google added decoding support on Android devices and Chrome browser and also released libraries that developers could add to their apps on other platforms, for example iOS.

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Structural Evolutions in Data

O'Reilly

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards. Google goes a step further in offering compute instances with its specialized TPU hardware.