INTIACC: A 32-bit Floating-Point Programmable Custom-ISA Accelerator for Solving Classes of Partial Differential Equations

Abstract

We propose a numerical integration accelerator (INTIACC) that speeds up the solution of partial differential equations (PDEs) for scientific computing. In contrast to recent works, INTIACC applies to a variety of PDEs and boundary conditions, has enhanced nonlinear function capability, supports high-order integration algorithms, and uses floating-point arithmetic for orders of magnitude smaller solution error. With all the benefits, our test chip still achieves 40X speed-up over prior accelerators and orders of magnitudes over CPU and GPU based systems.