In many application areas, certain parts of the algorithm, which was then implemented in a computer programming environment can be run in parallel. Individual sections of the application can be sent ...

This LabVIEW code demonstrates data parallelism; by dividing the matrix in half the operation can be computed simultaneously on two CPU cores. When using this technique in LabVIEW to increase ...

The new version of AlphaZero discovered a faster way to do matrix multiplication, a core problem in computing that affects thousands of everyday computer tasks.

Mathematics DeepMind AI finds new way to multiply numbers and speed up computers Matrix multiplication - where two grids of numbers are multiplied together - forms the basis of many computing ...

Matrix multiplication advancement could lead to faster, more efficient AI models At the heart of AI, matrix math has just seen its biggest boost "in more than a decade.” ...

Improved 50 years worth of maths classesGoogle’s DeepMind has been using applied reinforced learning techniques to the multiplication of mathematical matrices and can do it better than some 50 ...

Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...

This paper develops an algorithm to multiply a p × 2 matrix by a 2 × n matrix in $\lceil (3pn + \max (n, p))/2\rceil$ multiplications without use of commutativity of matrix elements. The algorithm ...