Of course, these days your multiplication probably occurs in hardware but it still may not be as fast as addition and subtraction. The complexity of this algorithm, though, means it isn’t often ...

Matrix multiplication is a fundamental operation ... minimizing energy use and even joint optimization of the design of hardware and the algorithms it performs. Although AlphaTensor has discovered ...

work on the hardware and software side on GPUs was proving itself at scale and, along the way, paving the way for other research areas to push into acceleration. And it also just so happened that GPUs ...

Ever since the Strassen algorithm was published in 1969 ... Today, companies use expensive GPU hardware to boost matrix multiplication efficiency, so any extra speed would be game-changing ...

algorithms with state-of-the-art complexity for structured matrix multiplication and improved practical efficiency by optimizing matrix multiplication for runtime on specific hardware. Our results ...

A matrix multiplication is a type of ... Some of those algorithms are optimized to run on specific types of hardware such as Nvidia Corp. graphics cards. To build AlphaTensor, DeepMind researchers ...

The new method, called Linear-Complexity Multiplication ... available hardware on the market, like Nvidia’s upcoming Blackwell GPUs, aren't designed to handle this algorithm.

Matrix multiplication is at the heart ... AI applications to run more quickly on existing hardware. To discover more efficient matrix math algorithms, DeepMind set up the problem like a single ...