Nvidia is the market leader in AI chips thanks to its Hopper and Blackwell GPUs. Intel is fighting to maintain its advantage ...

QCi’s photonic chips could reduce the cost of quantum computers. IonQ’s trapped ion technology could shrink quantum ...

Experimental device harnesses quantum properties for efficient processing at room temperature. Engineers are working to ...

In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU ...

Chemical process simulations are crucial for optimizing industrial operations, but they often require significant ...

A study published this week in Proceedings of the National Academy of Sciences reports a new parallel-computing approach based on a combination of nanotechnology and biology that can solve ...

A study reports the realization of a parallel computer based on designed nanofabricated channels explored in a massively parallel fashion by protein filaments propelled by molecular motors.

With three parallel computers — one host PC and two guest PCs — the processor and the number of cores also become more important. You should calculate with at least one core per computer.

After all, the human brain is itself a massively parallel computer; writing programs that can operate in parallel is the key to making computers that seem more like us and less like machines.

Quentin Stout and Christiane Jablonowski from the University of Michigan gave a nice introduction to parallel computing on Sunday. They covered everything from architecture to APIs to the politics ...

Ultimately there is only so far you can scale a singular vector processor, of course, while parallel computing promised much better scaling, as well as the use of commodity hardware.