Results 291 to 300 of about 84,402,451 (356)

Processing-in-memory: A workload-driven perspective

IBM Journal of Research and Development, 2019
Many modern and emerging applications must process increasingly large volumes of data. Unfortunately, prevalent computing paradigms are not designed to efficiently handle such large-scale data: The energy and performance costs to move this data between ...
Saugata Ghose, Amirali Boroumand, Jeremie S. Kim, Juan Gómez-Luna, O. Mutlu   +4 more
semanticscholar   +1 more source

A Compiler for Automatic Selection of Suitable Processing-in-Memory Instructions

Design, Automation and Test in Europe, 2019
Although not a new technique, due to the advent of 3D-stacked technologies, the integration of large memories and logic circuitry able to compute large amount of data has revived the Processing-in-Memory (PIM) techniques.
Hameeza Ahmed, P. C. Santos, J. P. C. Lima, Rafael Fão de Moura, M. Alves, A. C. S. Beck, L. Carro   +6 more
semanticscholar   +1 more source

FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption

IEEE Transactions on Emerging Topics in Computing
Fully Homomorphic Encryption (FHE) is a technique that allows arbitrary computations to be performed on encrypted data without the need for decryption, making it ideal for secure computation outsourcing.
Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, T. Rosing   +8 more
semanticscholar   +1 more source

SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing

Design, Automation and Test in Europe, 2020
Stochastic computing (SC) reduces the complexity of computation by representing numbers with long independent bit-streams. However, increasing performance in SC comes with increase in area and loss in accuracy.
Saransh Gupta, M. Imani, Joonseop Sim, Andrew Huang, Fan Wu, M. Najafi, T. Rosing   +6 more
semanticscholar   +1 more source

A3PIM: An Automated, Analytic and Accurate Processing-in-Memory Offloader

Design, Automation and Test in Europe
The performance gap between memory and processor has grown rapidly. Consequently, the energy and wall-clock time costs associated with moving data between the CPU and main memory predominate the overall computational cost.
Qingcai Jiang, Shaojie Tan, Junshi Chen, Hong An   +3 more
semanticscholar   +1 more source

Data-Centric Computing Frontiers: A Survey On Processing-In-Memory

International Symposium on Memory Systems, 2016
A major shift from compute-centric to data-centric computing systems can be perceived, as novel big data workloads like cognitive computing and machine learning strongly enforce embarrassingly parallel and highly efficient processor architectures.
P. Siegl, R. Buchty, Mladen Berekovic
semanticscholar   +1 more source

Database Processing-in-Memory: A Vision

2019
The recent trend of Processing-in-Memory (PIM) promises to tackle the memory and energy wall problems lurking in the data movement around the memory hierarchy, like in data analysis applications. In this paper, we present our vision on how database systems can embrace PIM in query processing.
Tiago Rodrigo Kepe, Eduardo C. de Almeida, Marco A. Z. Alves, Jorge Augusto Meira   +3 more
openaire   +2 more sources

Security Challenges of Processing-In-Memory Systems

Proceedings of the 2020 on Great Lakes Symposium on VLSI, 2020
Emerging memory systems such as resistive random access memory (RRAM), phase-change memory (PCM), and spin-transfer torque magneto-resistive random access memory (STT-MRAM) offer unique physical properties useful in designing next-generation processing in-memory (PIM) circuits and systems.
Md Tanvir Arafin, Zhaojun Lu
openaire   +1 more source

Emerging 2D Memory Devices for In‐Memory Computing

Advances in Materials, 2021
It is predicted that the conventional von Neumann computing architecture cannot meet the demands of future data‐intensive computing applications due to the bottleneck between the processing and memory units.
Lei Yin, Ruiqing Cheng, Y. Wen, Chuansheng Liu, Jun He   +4 more
semanticscholar   +1 more source

Exploring the Processing-in-Memory design space

Journal of Systems Architecture, 2017
With the emergence of 3D-DRAM, Processing-in-Memory has once more become of great interest to the research community and industry. Here we present our observations on a subset of the PIM design space. We show how the architectural choices for PIM core frequency and cache sizes will affect the overall power consumption and energy efficiency.
Marko Scrbak, Mahzabeen Islam, Krishna M. Kavi, Mike Ignatowski, Nuwan Jayasena   +4 more
openaire   +1 more source