Approximation opportunities in edge computing hardware: A systematic literature review

HJ Damsgaard, A Ometov, J Nurmi - ACM Computing Surveys, 2023 - dl.acm.org
With the increasing popularity of the Internet of Things and massive Machine Type
Communication technologies, the number of connected devices is rising. However, although …

TWiCe: Preventing row-hammering by exploiting time window counters

E Lee, I Kang, S Lee, GE Suh, JH Ahn - Proceedings of the 46th …, 2019 - dl.acm.org
Computer systems using DRAM are exposed to row-hammer (RH) attacks, which can flip
data in a DRAM row without directly accessing a row but by frequently activating its adjacent …

An approximate memory architecture for energy saving in deep learning applications

DT Nguyen, NH Hung, H Kim… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
DRAM devices require periodic refresh operations to preserve data integrity. Slowing down
the refresh rate can reduce the energy consumption; however, it may cause a loss of data …

Circuit-level techniques for logic and memory blocks in approximate computing systemsx

S Amanollahi, M Kamal, A Afzali-Kusha… - Proceedings of the …, 2020 - ieeexplore.ieee.org
This article presents an overview of circuit-level techniques used for approximate computing
(AC), including both computation and data storage units. After providing some background …

Energy-efficient approximate edge inference systems

SK Ghosh, A Raha, V Raghunathan - ACM Transactions on Embedded …, 2023 - dl.acm.org
The rapid proliferation of the Internet of Things and the dramatic resurgence of artificial
intelligence based application workloads have led to immense interest in performing …

ADS: Leveraging approximate data for efficient data sanitization in SSDs

J Cui, W Liu, J Huang, LT Yang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
NAND flash memory has been widely adopted in emerging storage systems. To ensure data
security, the support of data sanitization in NAND flash memory-based storage systems is …

Approximate hardware techniques for energy-quality scaling across the system

Y Kim, J San Miguel, S Behroozi, T Chen… - 2020 International …, 2020 - ieeexplore.ieee.org
For error-resilient applications, such as machine learning and signal processing, a
significant improvement in energy efficiency can be achieved by relaxing exactness …

Rebirth-FTL: Lifetime optimization via approximate storage for NAND flash memory

C Ma, Z Zhou, L Han, Z Shen, Y Wang… - … on Computer-Aided …, 2021 - ieeexplore.ieee.org
The lifetime of NAND flash cells significantly degrades with feature-size reductions and
multilevel cell technology. On the other hand, we have more and more approximate data …

Review of Approximate Computing in Image Processing Applications

S Bharti, A Kumar, P Gupta - 2022 4th International Conference …, 2022 - ieeexplore.ieee.org
Quality of real time multimedia images mostly depends on the input, ie size of camera
sensor, pixel density, quality of lens, etc. therefore the output sometimes contains unsolvable …

[PDF][PDF] DRAM の設計余裕を活用した低レイテンシ化・低消費電力化手法とその制御法の研究動向

穐山空道, 山田淳二, 塩谷亮太 - 情報処理学会論文誌コンピューテ …, 2023 - soramichi.jp
コンピュータのメインメモリを構成する DRAM のランダムアクセスレイテンシと消費電力は大きな
課題である. 前者は 20 年以上にわたりほぼ改善しておらず, 後者は**年のメモリ搭載量の増大から …