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They are rerun(in the best case) and thus defeating the whole purpose of this exercise while spending tons and tons of time/money/energy on this).nn> They are rerun(in the best case) and thus defeating the whole purpose of this exercise while spending tons and tons of time/money/energy on this).nn> "}">I heard all kinds of answers.
Modern CPUs strongly favor lower latency of operations with clock cycles in the nanoseconds and we have built general purpose softwarearchitectures that can exploit these low latencies very well. Configuring kernel execution is not a trivial exercise and requires GPU device specific knowledge.
but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise. SoftwareArchitecture. They are often built by data scientists who are not software engineers or computer science majors by training. Adapted from the book Effective Data Science Infrastructure.
It acts as a collaboration tool to balance the need for business correctness, user experience, and technical efficiency. Defining Aggregate Boundaries Deciding that specific business operations should succeed or fail together sounds like a simple requirements gathering exercise. Let’s refer to this as an Invariant Business Rule.
Two particularly relevant patterns are Efficiency Enables Evolution and Higher Order Systems Create New Sources of Worth. In Wardley lingo, Google Maps is so efficient that it acts as a building block for higher-order systems (e.g. map-based property search) which deliver new type of value (e.g.
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