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www.baeldung.com/cs/granularity-coarse-grained-vs-fine-grainedPrivate View So, we’ll compare coarse-grained and fine-grained concepts in a systematic summary. 2. Coarse Granularity. We can see coarse-grained entities as a small collection of components (or even a monolithic entity) executing high-level operations or representing complex elements. But, granularity is a dynamic concept: the scenario defines which is ...
terminology - Coarse-grained vs fine-grained - Stack Overflow stackoverflow.com/questions/3766845Private View Coarse-grained: A few ojects hold a lot of related data that's why services have broader scope in functionality. Example: A single "Account" object holds the customer name, address, account balance, opening date, last change date, etc. Thus: Increased design complexity, smaller number of cells to various operations Fine-grained: More objects each holding less data that's why services have more ...
Granularity - Wikipedia en.wikipedia.org/wiki/GranularityPrivate View 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 comparing systems or descriptions ...
Granularity (parallel computing) - Wikipedia en.wikipedia.org/wiki/Granularity_(parallel_computing)Private View Medium-grained parallelism is used relatively to fine-grained and coarse-grained parallelism. Medium-grained parallelism is a compromise between fine-grained and coarse-grained parallelism, where we have task size and communication time greater than fine-grained parallelism and lower than coarse-grained parallelism. Most general-purpose parallel computers fall in this category. Intel iPSC is ...
Lecture 20 – CS 161 2018 - Harvard University read.seas.harvard.edu/cs161/2018/lectures/lecture20Private View Coarse-grainedvsfine-grained locking coarse-grained: few locks each protecting lots of data; fine-grained: many locks each protecting little data ; coarse-grained: higher contention, less space/complexity overhead; fine-grained: lower contention, more space/complexity overhead; Throughput vs latency throughput: lock acquisitions / time (higher is better) time: time to acquire a lock (lower ...
Coarse2Fine: a two-stage training method for fine-grained visual ... link.springer.com/article/10.1007/s00138-021-01180-yPrivate View Also, as we have two prediction heads, there are three options for making the predictions: 1—only coarse-grained, 2—only fine-grained, and 3—average of coarse- and fine-grained. If the performance matters, one can only use the coarse-grained part which itself performs better than a typical CNN. Our experiments showed that the average of both coarse and fine-grained predictions results in ...
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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 ...
Fine-grained or coarse-grained APIs – Think-Digitally.de think-digitally.de/fine-grained-or-coarse-grained-apisPrivate View The simple difference between “fine-grained” and “coarse-grained” is – please allow me a first and simple approach to it – the number of APIs based on the same number of system integrations and non-functional requirements. In other articles, the concept was introduced as the “right-grained” APIs. This implies, that there is “one” correct approach. I doubt, that this is the ...
What do spaCy's part-of-speech and dependency tags mean? stackoverflow.com/questions/40288323Private View You thus have a choice between using a coarse-grained tag set that is consistent across languages (.pos), or a fine-grained tag set (.tag) that is specific to a particular treebank, and hence a particular language..pos_ tag list. The docs list the following coarse-grained tags used for the pos and pos_ attributes:
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