Opportunities for Solar for Industrial Process Heat in the United States
Figure data for report on opportunities for solar technologies to provide industrial process heat in the United States (NREL/TP-6A20-77760).
Engineering topics
Publications and source records attributed to Xi, Wang.
Figure data for report on opportunities for solar technologies to provide industrial process heat in the United States (NREL/TP-6A20-77760).
Stencil computation is a classic computational kernel present in many high-performance scientific applications, like image process- ing and partial differential equation solvers (PDE). A stencil compu- tation sweeps over a multi-dimensional grid and repeatedly updates values associated with points using the values from neighboring points. Stencil computations often employ large datasets that ex- ceed cache capacity, leading to excessive accesses to the memory subsystem. As such, 3D stencil computations on large grid sizes are memory-bound. In this paper we present PIMS, an in-memory accelerator for stencil computations. PIMS, implemented in the logic layer of a 3D- stacked memory, exploits the high bandwidth provided by through- silicon vias to reduce redundant memory traffic. Our comprehensive evaluation using three different grid sizes with six categories of orders indicate that the proposed architecture reduces 48.25% of data movement on average and obtains up to 65.55% of bank conflict reduction.