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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). This chart shows our scaled results using a OLTP workload derived from TPC benchmarks.

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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. Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. Testing Scale-Up Performance.

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