A key challenge in parallel adaptive Cartesian grid generation is significant computational load imbalance during k‑d tree ...

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

Automatic mesh generation, recognized as the "Holy Grail" of Computational Fluid Dynamics (CFD), was highlighted as a critical objective in the NASA ...

If you’re gonna be a hacker eventually you’re gonna have to write code. And if you write code eventually you’re gonna have to ...

As demand for larger, thinner, and more responsive touchscreens intensifies, so does the complexity of engineering them. Designers of smartphones, tablets, automotive displays, and industrial control ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

Abstract: High-dimensional and incomplete (HDI) matrices are commonly encountered in various big data-related applications for illustrating the complex interactions among numerous entities, like the ...

Writing good, performant code depends strongly on an understanding of the underlying hardware. This is especially the case in ...

Abstract: The rapid growth of "big data" has made it more challenging to quickly manage and analyze enormous datasets in environments with distributed computing. To address this problem, the article ...

A motion control strategy based on multi-source heterogeneous motion information fusion and motion decoupling parallel washout algorithm (WA) is proposed for the control of a rehabilitation robot ...