# The Processing Using Memory Paradigm:In-DRAM Bulk Copy, Initialization, Bitwise AND and OR

arXiv: https://arxiv.org/abs/1610.09603 · HTML: https://mlsanity.com/paper/1610.09603/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Oct 2016.

## Built on by (most cited first, 2 of 2)

- [Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud](https://mlsanity.com/paper/2209.08938/) (2022)
- [Heterogeneous Data-Centric Architectures for Modern Data-Intensive Applications: Case Studies in Machine Learning and Databases](https://mlsanity.com/paper/2205.14664/) (2022)

## Abstract (arXiv)

In existing systems, the off-chip memory interface allows the memory controller to perform only read or write operations. Therefore, to perform any operation, the processor must first read the source data and then write the result back to memory after performing the operation. This approach consumes high latency, bandwidth, and energy for operations that work on a large amount of data. Several works have proposed techniques to process data near memory by adding a small amount of compute logic closer to the main memory chips. In this article, we describe two techniques proposed by recent works that take this approach of processing in memory further by exploiting the underlying operation of the main memory technology to perform more complex tasks. First, we describe RowClone, a mechanism that exploits DRAM technology to perform bulk copy and initialization operations completely inside main memory. We then describe a complementary work that uses DRAM to perform bulk bitwise AND and OR operations inside main memory. These two techniques significantly improve the performance and energy efficiency of the respective operations.