Work

The Processing-in-Memory Model

Year: 2021

Type: conference-paper

Abstract: As computational resources become more efficient and data sizes grow, data movement is fast becoming the dominant cost in computing. Processing-in-Memory is emerging as a key technique for reducing costly data movement, by enabling computation to be executed on compute resources embedded in the memory modules themselves.

Source: ACM Symposium on Parallelism in Algorithms and Architectures (SPAA)

DOI: 10.1145/3409964.3461816

Authors: Hongbo Kang, Phillip B. Gibbons, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Charles McGuffey

Institutions: Tsinghua University, Carnegie Mellon University, MIT Computer Science and Artificial Intelligence Laboratory, University of California, Riverside

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid