2d ago · 14 min read · If you work in AI infrastructure networking, you've probably heard terms like Data Parallelism, Tensor Parallelism, and Pipeline Parallelism thrown around by the ML team. You know they matter for how
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Apr 9 · 12 min read · Introduction I was working on a service that accepts a large file over HTTP, validates it, encrypts it, uploads it to cloud storage, parses it, processes the records, and stores the results. Nothing e
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Mar 26 · 4 min read · Introduction In modern systems programming, performance is not just about faster processors; it is about how effectively software utilizes available resources. Concurrency and parallelism are two fund
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Jan 13 · 6 min read · Concurrency and parallelism are fundamental concepts in modern system design. Although often used interchangeably, they solve different problems and operate at different layers. Understanding them is critical for building scalable, high-performance s...
Join discussionDec 26, 2025 · 18 min read · Python’s concurrency tools let you optimize programs by running tasks in overlapping periods—great for cutting down wait times in I/O-heavy work and taking advantage of multiple CPU cores for compute-intensive tasks. In this article, I’m focusing on ...
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Nov 17, 2025 · 3 min read · https://www.youtube.com/watch?v=vRT_vNmoRQU The Bottleneck of Sequential await In Swift's structured concurrency, the await keyword is used to pause the execution of the current task until the asynchronous function it calls returns a result. While ...
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Oct 26, 2025 · 3 min read · We - as a developers - love to talk about “running things at once” - but not everyone means the same thing. Some chase speed, others chase structure, and that’s where the confusion starts. Parallelism makes it faster. Concurrency makest it work. Par...
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