Transforming Matrix Operations into Efficient Graph Processing for High-Performance Scientific Computing

Matrix operations can be transformed into equivalent graph representations, enabling domain experts to implement various types of matrix computations using a unified graph programming interface. This graph engine-based scientific computing paradigm achieves performance comparable to the best-performing implementations while greatly simplifying the development of scientific computations on large-scale platforms.