Distributed systems comprise a network of independent computing nodes that collaborate to achieve shared objectives despite challenges such as network latency, asynchrony and process failures.

As quantum computing technology continues to advance, MicroAlgo's multi-simulator collaborative subgraph isomorphism algorithm is expected to play a key role in more application areas.

The scalability of complex algorithms starts to flounder at around a terabyte of data—or one trillion bytes—in a computer cluster or in cloud computing. The New York Stock Exchange for example ...

Thanks to modern computing, the 8 fallacies of distributed computing are being rendered obsolete In 1969, the U.S. Department of Defense created ARPANET, the precursor to today’s internet.

In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists at Oxford University Physics have demonstrated the first instance of distributed quantum ...

Larry Smarr may have stepped back from full-time work in the Computer Science and Engineering Department at the University of California, San Diego, but that doesn’t mean he’s slowing down. In fact, ...

Gauri Joshi, 34, is working to change that by designing distributed computing algorithms that make it possible for such models to be trained using a network of devices such as cell phones or sensors.

MicroAlgo Inc. (NASDAQ: MLGO), (the "Company"or "MicroAlgo"), today announced the introduction of an innovative solution: a multi-simulator collaborative algorithm based on subgraph isomorphism ...