The potential for these kinds of machines to reshape computer processing, increase energy efficiency, and revolutionize ...

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.

AMD is grabbing share from Intel in x86 data center processors at a rapid rate. As the chart above shows, AMD’s share is now ...

Kenneth Merz, Ph.D., of Cleveland Clinic's Center for Computational Life Sciences and a team are exploring how quantum ...

The new Power11 servers aim to address the growing modernization needs in the enterprise datacenter, expanding the Power lineup to cover new use cases.

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 ...

Software component frameworks are well known in the commercial business application world and now this technology is being explored with great interest as a way to build large-scale scientific ...

The German Federal Financial Supervisory Authority (BaFin) has recently highlighted both the transformative potential of financial technology.

Accordingly, we propose a distributed and parallel tensor hierarchical Tucker decomposition on a cloud computing platform. Both coarse-grained parallelism and fine-grained parallelism are exploited in ...

I quickly wrote a short note pointing this out and correcting the algorithm. It didn’t take me long to realize that an algorithm for totally ordering events could be used to implement any distributed ...