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Efficient Algorithms for Fixed-Point Arithmetic Operations In An Embedded PIM ∗
| Content Provider | CiteSeerX |
|---|---|
| Author | Suh, Jinwoo Kang, Dong-In Crago, Stephen P. |
| 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 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Fixed-point Arithmetic Operation Embedded Pim Implementation Result Mitsubishi M32r Many Advantage Pim Technology Dram Memory Chip Use Integer Straightforward Implementation Recent Approach Embedded Computing Application Dataintensive Application Memory Speed Pim-based Multiprocessor System Software Implementation Arbitrary Fixed-point Arithmetic Operation Arbitrary Fixed-point Multiplication |
| Content Type | Text |
