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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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Two Sessions: C++ Concurrency and Parallelism – 2012 State of the Art (and Standard)

Sutter's Mill

I’m going to put them together especially and only for C++ and Beyond 2012 , and I’ll be giving them nowhere else this year: C++ Concurrency – 2012 State of the Art (and Standard). C++ Parallelism – 2012 State of the Art (and Standard). I hope to see many of you at C&B 2012. And there’s a lot to tell. I can’t wait.

C++ 40
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Document Model Support in DynamoDB: Flexibility, Availability, Performance, and Scale.Together at last

All Things Distributed

We designed DynamoDB to operate with at least 99.999% availability. We started with Amazon Dynamo, a simple key-value store that was built to be highly available and scalable to power various mission-critical applications in Amazon’s e-commerce platform. In 2012, we launched Amazon DynamoDB, the successor to Amazon Dynamo.

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SQL Server 2016 – It Just Runs Faster: Always On Availability Groups Turbocharged

SQL Server According to Bob

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

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Safari 16.4 Is An Admission

Alex Russell

In leaner years (2012-2015), a single Fall release was all we'd get. This lack of transparency is by design and provides Apple deniability while simultaneously setting low expectations, making them easier to exceed. Two releases per year meant that, for a decade, progress on WebKit bugs was a roulette that developers lost by default.

Energy 79
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“256 cores by 2013”?

Sutter's Mill

I said something similar to the above, but with two important differences: I said hardware “threads,” not only hardware “cores” – it was about the amount of hardware parallelism available on a mainstream system. Longer answer follows: Here’s the main part from article, “Design for Manycore Systems” (August 11, 2009).

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The Performance Inequality Gap, 2021

Alex Russell

The cheapest (high volume) Androids perform like 2012/2013 iPhones, respectively. Modern network performance and availability. 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.