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Related Concept Videos

Design Example: Sustainability in Concrete Building01:26

Design Example: Sustainability in Concrete Building

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As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
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Design Consideration01:22

Design Consideration

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Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
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Unsymmetric Loading of Thin-Walled Members01:23

Unsymmetric Loading of Thin-Walled Members

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Thin-walled members with non-symmetrical cross-sections are vital to engineering structures, offering material efficiency and structural integrity. However, unsymmetrical loading on these members leads to complex stress distributions, resulting in simultaneous bending and twisting can cause deformation or structural failure. The interaction between bending and twisting requires detailed analysis to ensure structural resilience.
The concept of the shear center is crucial in countering the...
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Design Example: Dimensioning of Concrete Masonry Construction01:13

Design Example: Dimensioning of Concrete Masonry Construction

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For the construction of a storeroom using concrete masonry units, it's essential to align the dimensions of the structure with the actual sizes of the blocks and the intended mortar joints. On the site in question, there's a stockpile of concrete masonry blocks with a nominal size of eight by eight by sixteen inches, which are to be used in the construction of the storeroom.
The site engineer has laid out a plan for the storeroom with external dimensions of twelve feet in length and...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

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42
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Design Example: Managing Concrete Workability01:14

Design Example: Managing Concrete Workability

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This example deals with managing the workability of concrete for a raft foundation project under hot weather conditions. Workability is crucial for ensuring the concrete is easy to place, compact, and finish. In this scenario, a slump test — a common method to measure the workability of fresh concrete — initially indicated low workability. This was attributed to the rapid water loss from the concrete mix, exacerbated by the high temperatures causing the course aggregates to heat up.
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Optimizing resource utilization for large scale problems through architecture aware scheduling.

Ali M Elsawwaf1, Gamal M Aly2, Hossam M Faheem3

  • 1Computer and Systems Engineering Dept, Faculty of Engineering, Ain Shams University, Cairo, Egypt. 2002336@eng.asu.edu.eg.

Scientific Reports
|November 2, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed an architecture-aware scheduling strategy for parallel computing. This approach enhances computational efficiency and resource utilization for large-scale problems, improving performance by 16.7%.

Keywords:
High performance computingParallel ProcessingTask Scheduling

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Area of Science:

  • Computer Science
  • High-Performance Computing

Background:

  • Parallel architectures and their heterogeneity are rapidly evolving.
  • Efficient workload distribution is crucial for optimizing performance.

Purpose of the Study:

  • To present a comprehensive study on optimizing resource utilization for large-scale problems.
  • To develop an architecture-aware scheduling strategy.

Main Methods:

  • Conducted experiments measuring execution times on various architectures with different problem sizes.
  • Repeated experiments to minimize measurement variance.

Main Results:

  • Developed a scheduling strategy for faster completion of large data-parallel problems.
  • Achieved a 16.7% performance enhancement for large data sizes.
  • Maximized resource utilization.

Conclusions:

  • The proposed architecture-aware scheduling strategy significantly enhances computational efficiency.
  • This approach reduces costs in high-performance computing environments.