Innovation requires information, context, collaboration, experimentation, and even failure. Using simulation to make ...

As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

AI workloads are testing traditional centralized systems beyond their limits. Incentivizing distributed energy and data is the answer, says Greg Osuri, CEO of Akash Network.

Designing Data Centers for Next-Gen Language Models” was published by Intel Corporation and Georgia Tech. An excerpt from the ...

Objectives Cardiovascular (CV) diseases are associated with adverse outcomes. However, attention has typically focused on ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Here is how engineers can design digital input modules with a parallel interface using industrial serialized digital inputs.

The cost of underestimating security and compliance translates to catastrophic risks. Unfortunately, despite the growing complexity of modern distributed systems, many organizations still treat these ...

In large-scale parallel computing systems, machines and the network suffer from non-negligible faults, often leading to system crashes. The traditional method to increase reliability is to restart the ...

Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is ...

Computing 'A first in applied physics': Breakthrough quantum computer could consume 2,000 times less power than a supercomputer and solve problems 200 times faster ...

In addition, we explored the heterogeneous differences in channel states between communication nodes and utilized the federated weighting (FedWgt) method to address this issue, further improving the ...