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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 petaflops, which is 0.8% of peak capacity.

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Redis vs Memcached in 2024

Scalegrid

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. However, Redis, with its single-threaded architecture, may encounter bottlenecks with large numbers of concurrent connections.

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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! ASPLOS’19.

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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., use the TPC-H benchmark to assess Redshift, Redshift Spectrum, Athena, Presto, Hive, and Vertica to find out what works best and the trade-offs involved. in the TPC-H Benchmark Standard for details of the queries). VLDB’19. Key findings.

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Plan Your Multi Cloud Strategy

Scalegrid

They can also bolster uptime and limit latency issues or potential downtimes. Adopting Infrastructure as Code (IaaC) makes transitioning to a multi-cloud architecture more efficient, allowing streamlined setup processes.

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The Performance Inequality Gap, 2024

Alex Russell

It's time once again to update our priors regarding the global device and network situation. seconds on the target device and network profile, consuming 120KiB of critical path resources to become interactive, only 8KiB of which is script. What's changed since last year? and 75KiB of JavaScript. These are generous targets.

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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

The resource loading waterfall is a cascade of files downloaded from the network server to the client to load your website from start to finish. It essentially describes the lifetime of each file you download to load your page from the network. You can see this by opening your browser and looking in the Networking tab.

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