stencil codes; Laplace; Jacobi iteration; memristor; in-memory computing;

Efficient Acceleration of Stencil Applications through In-Memory Computing

1 min read · Mon, Jun 29 2020

stencil codes; Laplace; Jacobi iteration; memristor; in-memory computing; Circuits

Hasan Yantır, et al., "Efficient Acceleration of Stencil Applications through In-Memory Computing". Micromachines 11, 2020, 622. The traditional computer architectures severely suffer from the bottleneck between the processing elements and memory that is the biggest barrier in front of their scalability. Nevertheless, the amount of data that applications need to process is increasing rapidly, especially after the era of big data and artificial intelligence. This fact forces new constraints in computer architecture design towards more data-centric principles. Therefore, new paradigms such as in