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Granularity: Coarse-Grained vs. Fine-Grained - Baeldung
www.baeldung.com/cs/granularity-coarse-grained-vs-fine-grained Private 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 ...
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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/3766845 Private 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 ...
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/Granularity Private 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 ...
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 ...
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/lecture20 Private View
Coarse-grained vs fine-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 ...
Coarse-grained vs fine-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 ...
Fine Grained vs Coarse Grained Architecture: System Design
launchcrafted.com/difference-between-fine-grained-and-coarse-grained-architecture Private View
Fine-grained architecture emphasizes breaking down the system into smaller, more specialized components, while coarse-grained architecture focuses on larger, encompassing modules. This difference affects how components interact and how the system as a whole performs. Consider a highly complex system that requires frequent updates and modifications.
Fine-grained architecture emphasizes breaking down the system into smaller, more specialized components, while coarse-grained architecture focuses on larger, encompassing modules. This difference affects how components interact and how the system as a whole performs. Consider a highly complex system that requires frequent updates and modifications.
Fine-Grained vs. Coarse-Grained Segmentation - Educative
www.educative.io/.../fine-grained-vs-coarse-grained-segmentation Private View
Most of our examples thus far have focused on systems with just a few segments (i.e., code, stack, heap); we can think of this segmentation as coarse-grained, as it chops up the address space into relatively large, coarse chunks.However, some early systems (e.g., Multics 1. “Introduction and Overview of the Multics System” by F. J. Corbato, V. A. Vyssotsky.
Most of our examples thus far have focused on systems with just a few segments (i.e., code, stack, heap); we can think of this segmentation as coarse-grained, as it chops up the address space into relatively large, coarse chunks.However, some early systems (e.g., Multics 1. “Introduction and Overview of the Multics System” by F. J. Corbato, V. A. Vyssotsky.
Coarse-Grained vs. Fine-Grained Authorization - Styra
www.styra.com/blog/fine-grained-vs-coarse-grained-authorization Private View
In this article, we present an overview of fine-grained and coarse-grained authorization methods. Key takeaways include: Coarse-grained authorization is suited for broader forms of access controls, such as those focused on roles. Fine-grained authorization enables the higher level of specificity that is often required to secure more complex and ...
In this article, we present an overview of fine-grained and coarse-grained authorization methods. Key takeaways include: Coarse-grained authorization is suited for broader forms of access controls, such as those focused on roles. Fine-grained authorization enables the higher level of specificity that is often required to secure more complex and ...
Coarse-Grained vs Fine-Grained Authorization: Which to Use?
www.descope.com/blog/post/coarse-vs-fine-grained-authorization Private View
Coarse-grained authorization (CGA) uses one attribute (like user roles), making access control simple for smaller setups. Fine-grained authorization (FGA) uses a combination of detailed attributes, offering precise control for larger, intricate environments. CGA is straightforward and less time-consuming, while FGA delivers granularity at the ...
Coarse-grained authorization (CGA) uses one attribute (like user roles), making access control simple for smaller setups. Fine-grained authorization (FGA) uses a combination of detailed attributes, offering precise control for larger, intricate environments. CGA is straightforward and less time-consuming, while FGA delivers granularity at the ...
Coarse-Grained vs. Fine-Grained Authorization - PlainID
blog.plainid.com/coarse-grained-and-fine-grained-authorization Private View
Fine-grained Authorization supports policies that enable decisions about access to both the data level and the field level, in addition to functionality whereas coarse-grained solutions only relate to functionality . We saw that in the examples of the CSRs and managers above -- granting rights to certain CSRs to see balance data can be done by ...
Fine-grained Authorization supports policies that enable decisions about access to both the data level and the field level, in addition to functionality whereas coarse-grained solutions only relate to functionality . We saw that in the examples of the CSRs and managers above -- granting rights to certain CSRs to see balance data can be done by ...
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Which is Faster, Fine-grained or Coarse-grained? - Stack Overflow
stackoverflow.com/questions/61575638 Private View
Usually, the difference between fine-grained and coarse-grained locking is not the "size" of your lock sections (the amount of code you cover with a lock), it refers to the lock granularity in relation to the data structure itself. So, one approach is to have a single lock for the whole tree - coarse-grained locking.
Usually, the difference between fine-grained and coarse-grained locking is not the "size" of your lock sections (the amount of code you cover with a lock), it refers to the lock granularity in relation to the data structure itself. So, one approach is to have a single lock for the whole tree - coarse-grained locking.
Fine-Grained vs. Coarse-Grained APIs in MuleSoft - DZone
dzone.com/articles/fine-grained-vs-coarse-grained-apis-in-mulesoft Private View
Deployability: Fine-grained APIs are easy to deploy. If versioning is properly followed, we can deploy smaller APIs quickly and roll out functionalities to the market in a more agile manner. This ...
Deployability: Fine-grained APIs are easy to deploy. If versioning is properly followed, we can deploy smaller APIs quickly and roll out functionalities to the market in a more agile manner. This ...
Coarse-Grained vs. Fine-Grained Lithuanian Dependency Parsing - Springer
link.springer.com/chapter/10.1007/978-3-030-51965-0_39 Private View
Coarse-grained vs. fine-grained dependency parsing results with different parsing (-a) and learning (-l) algorithms. Full size table. 3 Experiments and Results. 3.1 Experimental Setting. All dependency parsing experiments were performed using two types of dependency labels in terms of granularity, i.e., coarse-grained and fine-grained (described in Sect. 2.1 and presented in Table 3). Since in ...
Coarse-grained vs. fine-grained dependency parsing results with different parsing (-a) and learning (-l) algorithms. Full size table. 3 Experiments and Results. 3.1 Experimental Setting. All dependency parsing experiments were performed using two types of dependency labels in terms of granularity, i.e., coarse-grained and fine-grained (described in Sect. 2.1 and presented in Table 3). Since in ...
convolutional neural networks - What do the words "coarse" and "fine ...
ai.stackexchange.com/questions/13662 Private View
In English, "coarse" means "rough or loose in texture or grain" , while "fine" means "involving great attention to detail" or "(chiefly of wood) having a fine or delicate arrangement of fibers", but these definitions do not elucidate the meaning of these words in the context of computer vision. This question was also asked here.
In English, "coarse" means "rough or loose in texture or grain" , while "fine" means "involving great attention to detail" or "(chiefly of wood) having a fine or delicate arrangement of fibers", but these definitions do not elucidate the meaning of these words in the context of computer vision. This question was also asked here.
Fine-Grained vs. Coarse-Grained Access Control - Privacera
privacera.com/blog/fine-grained-vs-coarse-grained-authorization-explained Private View
Fine-grained authorization can also control the level of data available for access. For example, it can grant access to the column or row level. Or, in the case of file systems, it can block certain files or folders from specific users. Pros and Cons. The biggest draw of fine-grained vs. coarse-grained access is the level of control it gives ...
Fine-grained authorization can also control the level of data available for access. For example, it can grant access to the column or row level. Or, in the case of file systems, it can block certain files or folders from specific users. Pros and Cons. The biggest draw of fine-grained vs. coarse-grained access is the level of control it gives ...
Fine-grained recognition: Multi-granularity labels and category ...
www.sciencedirect.com/science/article/pii/S0950705123003490 Private View
Around this, a grouping approach where fine-grained features contain coarse-grained features is proposed to separate the predictions at different hierarchies, and a loss function subject to probabilistic relationships is proposed to optimize this structure. Further, considering the majority data sets lacking manual multi-granularity labels, a coarse-grained label aggregation algorithm based on ...
Around this, a grouping approach where fine-grained features contain coarse-grained features is proposed to separate the predictions at different hierarchies, and a loss function subject to probabilistic relationships is proposed to optimize this structure. Further, considering the majority data sets lacking manual multi-granularity labels, a coarse-grained label aggregation algorithm based on ...
Difference between Fine-Grained and Coarse-Grained SIMD Architecture
www.geeksforgeeks.org/difference-between-fine-grained-and-coarse-grained-simd... Private View
Coarse-Grained SIMD. 1. Fine Grain SIMD have less computation time then the coarse grain architecture. Coarse Grain SIMD have more computation time then the Fine grain architecture. 2. Here, programs are broken into large number of small tasks. Here, programs are broken into small number of large task. 3.
Coarse-Grained SIMD. 1. Fine Grain SIMD have less computation time then the coarse grain architecture. Coarse Grain SIMD have more computation time then the Fine grain architecture. 2. Here, programs are broken into large number of small tasks. Here, programs are broken into small number of large task. 3.
Fine grained vs coarse grained REST API - Stack Overflow
stackoverflow.com/questions/35365372 Private View
As a consumer of the API, the fine grained approach has the same functionality as the coarse grained approach, but also adds more specific endpoints. Think about it this way, as the developer of the backend you know that the contacts are nested inside the user object, but the consumer of the API doesn't know this nor do they need to know this.
As a consumer of the API, the fine grained approach has the same functionality as the coarse grained approach, but also adds more specific endpoints. Think about it this way, as the developer of the backend you know that the contacts are nested inside the user object, but the consumer of the API doesn't know this nor do they need to know this.
Coarse-grained Vs. Fine-grained Access Control UK - Okta
www.okta.com/uk/blog/2022/06/should-i-be-using-coarse-or-fine-grained-access... Private View
Both coarse- and fine-grained access control have strengths and weaknesses. In a nutshell, coarse-grained access control benefits: Smaller companies. Workgroups with simple structures. Cases where the number of roles you need to define is relatively few. Fine-grained access control suits larger, more complex structures.
Both coarse- and fine-grained access control have strengths and weaknesses. In a nutshell, coarse-grained access control benefits: Smaller companies. Workgroups with simple structures. Cases where the number of roles you need to define is relatively few. Fine-grained access control suits larger, more complex structures.
Fine grained transformation vs coarse grained transformations
stackoverflow.com/questions/26195512 Private View
20. A fine grained update would be an update to one record in a database whereas coarse grained 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 ...
20. A fine grained update would be an update to one record in a database whereas coarse grained 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 ...