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stackoverflow.com/questions/3766845Private View In simple terms. Coarse-grained - larger components than fine-grained, large subcomponents. Simply wraps one or more fine-grained services together into a more coarse-grained operation. Fine-grained - smaller components of which the larger ones are composed, lowerlevel service. It is better to have more coarse-grained service operations ...
Granularity - Wikipedia en.wikipedia.org/wiki/GranularityPrivate View Precision and ambiguity. Coarse-grained materials or systems have fewer, larger discrete components than fine-grained materials or systems.. A coarse-grained description of a system regards large subcomponents.; A fine-grained description regards smaller components of which the larger ones are composed.; The concepts granularity, coarseness, and fineness are relative; and are used when ...
Granularity (parallel computing) - Wikipedia en.wikipedia.org/wiki/Granularity_(parallel_computing)Private View In parallel computing, granularity (or grain size) of a task is a measure of the amount of work (or computation) which is performed by that task.. Another definition of granularity takes into account the communication overhead between multiple processors or processing elements. It defines granularity as the ratio of computation time to communication time, wherein computation time is the time ...
Fine grained vs coarse grained REST API - Stack Overflow stackoverflow.com/questions/35365372Private View 3. This decision comes down to how your API will be consumed. If a primary functionality of this API is to track user's contacts, then I think it makes sense to go with the finegrained approach. As a consumer of the API, the finegrained approach has the same functionality as the coarsegrained approach, but also adds more specific endpoints.
Fine grained transformation vs coarse grained transformations stackoverflow.com/questions/26195512Private View 20. A finegrained update would be an update to one record in a database whereas coarsegrained is generally functional operators (like used in spark) for example map, reduce, flatMap, join. Spark's model takes advantage of this because once it saves your small DAG of operations (small compared to the data you are processing) it can use that to ...
Coarse-to-Fine Grained Classification | Proceedings of the 42nd ... dl.acm.org/doi/10.1145/3331184.3331336Private View Fine-grained image classification and retrieval become topical in both computer vision and information retrieval. In real-life scenarios, fine-grained tasks tend to appear along with coarse-grained tasks when the observed object is coming closer. However, in previous works, the combination of fine-grained and coarse-grained tasks was often ignored.
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