Abstract

The growing gap in performance between processor and memory speeds has created a problem for dataintensive applications. A recent approach for solving this problem is to use processor-in-memory (PIM) technology. PIM technology integrates a processor on a DRAM memory chip, which increases bandwidth between the processor and memory. An example of a PIM is the Mitsubishi M32R/D, which has a processor and 2 MB of DRAM on a chip. Even though the chip has many advantages, it has limited support for arbitrary fixed-point multiplication and division, which are necessary for some embedded computing applications. A software implementation of arbitrary fixed-point arithmetic operation is required for these applications. Straightforward implementations lose either precision or performance. Thus, algorithms that are fast and accurate are needed. In this paper, we design efficient algorithms for fixed-point arithmetic that use integer arithmetic. The algorithms are analyzed and implementation results on a PIM-based multiprocessor system, the System Level Intelligent Intensive Computing (SLIIC) Quick Look (QL) board, are presented.

Date

October 9, 2025

Authors

Jinwoo Suh, Dong-In Kang, Stephen P Crago

Journal

University of Southern California/Information Sciences Institute