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Exploring The Potential Of Web Workers For Multithreading On The Web

Smashing Magazine

This means that any time-consuming task, such as complex calculations or data processing that is executed, would block the main thread and cause the UI to freeze and become unresponsive. Web Workers are designed to perform tasks that do not require direct access to the UI, such as data processing, image manipulation, or calculations.

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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. 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. You can see this by opening your browser and looking in the Networking tab.

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A Brief Guide of xPU for AI Accelerators

ACM Sigarch

APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. BPU: Brain Processing Unit is the design of the AI chips by Horizon Robotics. They unveiled their first two embedded AI chips fabricated with TSMC 40nm process in December 2017: “Journey 1.0

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Architect your software delivery value stream for speed and quality with integration patterns

Tasktop

Architecting for flow is crucial because enterprise software delivery, by its very nature, is a broken process. The complex — and often implicit — network of teams, tools and processes that plan, build and deliver are disconnected by the role-specific tools used by teams across the ideate, create, release and operate stages. .

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Improving JavaScript Bundle Performance With Code-Splitting

Smashing Magazine

Projects built using JavaScript-based frameworks often ship large bundles of JavaScript that take time to download, parse and execute, blocking page render and user input in the process. This problem is more apparent on unreliable and slow networks and lower-end devices. Jump to online workshops ?. More after jump!

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Snuba: automating weak supervision to label training data

The Morning Paper

At the end of this process, we have an aggregation of heuristics that assign probabilistic labels to a large portion of the unlabelled dataset. One of the motivations for designing Snuba is to efficiently label enough training data for training powerful, downstream machine learning models like neural networks.

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How IT Can Get Its Dream Makeover with Value Stream Management

Tasktop

Beneath the question lies a fear — always legitimate, but especially so in a year of economic distress and highly constrained budgets — that a VSM tool will simply expose what is already known: “Our processes, workflows and tools are a mess. After we’ve cleaned up our act and matured our processes, we’ll finally be ready for a VSM tool.” .

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