Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/9249
Title: Pidram: an Fpga-Based Framework for End-To Evaluation of Processing-In Techniques
Authors: Olgun, A.
Luna, J.G.
Kanellopoulos, K.
Salami, B.
Hassan, H.
Ergin, Oğuz
Mutlu, O.
Keywords: Bandwidth
Field programmable gate arrays (FPGA)
Bandwidth requirement
Capacity requirement
Capacity scaling
Computing system
End to end
Main-memory
Memory bandwidths
Memory capacity
Memory latencies
Dynamic random access storage
Publisher: IEEE Computer Society
Abstract: DRAM-based main memory is used in nearly all computing systems as a major component. Modern memory-intensive workloads have increasing memory bandwidth, latency, and capacity requirements. However, DRAM vendors often prioritize memory capacity scaling over latency and bandwidth [1]-[4]. As a result, main memory is an increasingly worsening bottleneck in computing systems [3,5-9]. © 2022 IEEE.
Description: IEEE;IEEE Computer Society;Research and Innovation Center of Excellence (KOIOS);Technical Committee on VLSI (TCVLSI);University of Cyprus
2022 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2022 -- 4 July 2022 through 6 July 2022 -- 183621
URI: https://doi.org/10.1109/ISVLSI54635.2022.00059
https://hdl.handle.net/20.500.11851/9249
ISBN: 9781665466059
ISSN: 2159-3469
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

Page view(s)

98
checked on Dec 16, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.