10,618 results for Bigtable architecture with processing nodes separate from the storage layer.

arxiv.org/abs/1711.01450v1

The curved kinetic boundary layer of active matter

The finite reorient-time of swimmers leads to a finite run length $\ell$ and the kinetic accumulation boundary layer on the microscopic length scale $δ$ on a non-penetrating wall. That boundary layer is the microscopic origin of the swim pressure, a...

arxiv.org/abs/1811.05164v1

Spin-orbit torques acting upon a perpendicularly-magnetized Py layer

We show that Py, a commonly-used soft ferromagnetic material with weak anisotropy, can become perpendicularly-magnetized while depositing on Ta buffer layer with Hf or Zr insertion layers (ILs) and MgO capping layer. By using two different approaches...

github.com/0bserver07/One-Hundred-Layers-Tiramisu

0bserver07/One-Hundred-Layers-Tiramisu

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio) (⭐ 198)

www.reddit.com/r/STEW_ScTecEngWorld/comments/1pj22aq/germanys_slipform_paving_revolutionizes_road/

Germany's Slipform Paving Revolutionizes Road Construction

A novel German concrete paving method uses dual-layer slipforming, placing a durable, noise-reducing exposed aggregate top layer directly "hot-on-hot" over a structural bottom layer using specialized ...

github.com/layer5io/layer5

layer5io/layer5

Layer5, expect more from your infrastructure (⭐ 1017)

github.com/Whomrx666/X-overdos

Whomrx666/X-overdos

X-overdos is a A tool for performing DoS attack tests with many methods such as Layer 2, Layer 4, and also Layer 7. (⭐ 10)

github.com/publiclab/leaflet-environmental-layers

publiclab/leaflet-environmental-layers

Collection of different environmental map layers in an easy to use Leaflet library, similar to https://github.com/leaflet-extras/leaflet-providers#leaflet-providers (⭐ 103)

arxiv.org/abs/1506.02256v1

Knowledge Transfer Pre-training

Pre-training is crucial for learning deep neural networks. Most of existing pre-training methods train simple models (e.g., restricted Boltzmann machines) and then stack them layer by layer to form the deep structure. This layer-wise pre-training has...

arxiv.org/abs/1711.04580v2

Turbulence appearance and non-appearance in thin fluid layers

Flows in fluid layers are ubiquitous in industry, geophysics and astrophysics. Large-scale flows in thin layers can be considered two-dimensional (2d) with bottom friction added. Here we find that the properties of such flows depend dramatically on t...

arxiv.org/abs/2111.02055v1

Salt-based autopeering for DLT-networks

The security of any Distributed Ledger Technology (DLT) depends on the safety of the network layer. Much effort has been put into understanding the consensus layer of DLTs. However, many network layer designs seem ad-hoc and lack a careful analysis o...

arxiv.org/abs/1610.04594v1

Code Definition Analysis for Call Graph Generation

Enterprise level software is implemented using multi-layer architecture. These layers are often implemented using de-coupled solutions with millions of lines of code. Programmers often have to track and debug a function call from user interface layer...