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Why I hate MPI (from a performance analysis perspective)

John McCalpin

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.

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Front-End Performance Checklist 2021

Smashing Magazine

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. This improves page load time and caching during navigations.

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Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]

Smashing Magazine

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). In exchange, your team gains maintainability and developer efficiency, of course. From Fast By Default: Modern loading best practices by Addy Osmani (Slide 19).

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Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]

Smashing Magazine

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). In exchange, your team gains maintainability and developer efficiency, of course. But this consideration needs to be deliberate. Image credit: Addy Osmani ) ( Large preview ).

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Can You Afford It?: Real-world Web Performance Budgets

Alex Russell

Contended, over-subscribed cells can make “fast” networks brutally slow, transport variance can make TCP much less efficient , and the bursty nature of web traffic works against us. Others show the median user unable to transmit and receive an individual packet in less than 400ms in some major markets.

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HTTP/3: Performance Improvements (Part 2)

Smashing Magazine

An often used metaphor is that of a pipe used to transport water. One aspect of performance is about how efficiently a transport protocol can use a network’s full (physical) bandwidth (i.e. Examples include repeat visits on well-cached pages and background downloads and API calls in single-page apps. Congestion Control.