Itron's Nick Tumilowicz asserts a need for an integrated approach to grid management that processes and acts on real-time data at the edge.

Edge computing systems in grid environments must meet several critical technical requirements. Protection functions require response times of 4-16 milliseconds to prevent costly equipment damage ...

Quantum computing, which leverages the unique properties of qubits enabling faster solutions to the unit commitment problem as compared with classical computers, can potentially improve the analysis ...

Microsoft will have its hands full with its Bigtop grid computing as it challenges technologies with years of history and powerful supporters.

J.P. Morgan's grid computing project will eventually combine the power of about 2,000 CPUs that run on 50 midsize servers. The result will be millions of dollars in savings annually.

Grid computing pools processing cycles from multiple computers to maximize capacity, memory, power and other resources distributed across multiple systems. The concept of a grid describes a ...

Grid computing is the concept of using computers in the way that utilities use power grids to tap the unused capacity of a vast array of linked systems.

Vendors are taking the complexity out of grid computing while still delivering on its low cost and high performance benefits all without requiring companies to add more people to their IT staff.

Grid computing connects storage and data, as well as CPUs from multiple systems, into a centrally managed but flexible computing environment.

David Pallmann shows how to perform grid computations on the Azure cloud computing platform. In Part 1 he presents a design pattern, while Part 2&3 will contain a concrete code example.