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The Performance Inequality Gap, 2021

Alex Russell

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The cheapest (high volume) Androids perform like 2012/2013 iPhones, respectively. low-end Androids have finally caught up to the iPhone 5 from 2012. The Moto G4 , for example.

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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). Our design needed to scale and be adaptable to the modern hardware on the market.

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AppFabric Caching: Retry Later

ScaleOut Software

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. A Few Words on Design Philosophy: Keep It Simple. Use Fully Peer-to-Peer Design for Simplicity and High Availability. Testing Scale-Up Performance. Distributed Cache or In-Memory Data Grid?

Cache 40
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Real-Real-World Programming with ChatGPT

O'Reilly

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.