To gain public trust in distributed computing, addressing concerns related to privacy and security while ensuring high performance and efficiency is crucial. Multiparty computation, differential ...

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

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 ...

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 ...

For future networks, it is highly demanding to satisfy a wide range of time-sensitive and computation-intensive services. This is a very challenging task, since it requires a combination of aspects ...

Hello, would it be possible to an inference model with 2 GPUs in a way that I can distribute the computation over both of them, effectively doubling the amount of VRAM I have to run the model? I am ...