Power-reduction techniques for data-center storage systems
T Bostoen, S Mullender, Y Berbers - ACM Computing Surveys (CSUR), 2013 - dl.acm.org
As data-intensive, network-based applications proliferate, the power consumed by the data-
center storage subsystem surges. This survey summarizes, organizes, and integrates a …
center storage subsystem surges. This survey summarizes, organizes, and integrates a …
Expectation grammars: Leveraging high-level expectations for activity recognition
Video-based recognition and prediction of a temporally extended activity can benefit from a
detailed description of high-level expectations about the activity. Stochastic grammars allow …
detailed description of high-level expectations about the activity. Stochastic grammars allow …
An Evaluation of Different Page Allocation Strategies on High-Speed SSDs.
Exploiting internal parallelism over hundreds NAND flash memory is becoming a key design
issue in high-speed Solid State Disks (SSDs). In this work, we simulated a cycle-accurate …
issue in high-speed Solid State Disks (SSDs). In this work, we simulated a cycle-accurate …
VSSIM: Virtual machine based SSD simulator
In this paper, we present a virtual machine based SSD Simulator, VSSIM (Virtual SSD
Simulator). VSSIM intends to address the issues of the trace driven simulation, eg trace re …
Simulator). VSSIM intends to address the issues of the trace driven simulation, eg trace re …
Optimizing the block I/O subsystem for fast storage devices
Fast storage devices are an emerging solution to satisfy data-intensive applications. They
provide high transaction rates for DBMS, low response times for Web servers, instant on …
provide high transaction rates for DBMS, low response times for Web servers, instant on …
Confzns: A novel emulator for exploring design space of zns ssds
The ZNS (Zoned NameSpace) interface shifts much of the storage maintenance
responsibility to the host from the underlying SSDs (Solid-State Drives). In addition, it opens …
responsibility to the host from the underlying SSDs (Solid-State Drives). In addition, it opens …
[BOK][B] Flash Memory Integration: Performance and Energy Issues
J Boukhobza, P Olivier - 2017 - books.google.com
4 zettabytes (4 billion terabytes) of data generated in 2013, 44 zettabytes predicted for 2020
and 185 zettabytes for 2025. These figures are staggering and perfectly illustrate this new …
and 185 zettabytes for 2025. These figures are staggering and perfectly illustrate this new …
Near-data processing for differentiable machine learning models
Near-data processing (NDP) refers to augmenting memory or storage with processing
power. Despite its potential for acceleration computing and reducing power requirements …
power. Despite its potential for acceleration computing and reducing power requirements …
Amnesic cache management for non-volatile memory
One characteristic of non-volatile memory (NVM) is that, even though it supports non-
volatility, its retention capability is limited. To handle this issue, previous studies have …
volatility, its retention capability is limited. To handle this issue, previous studies have …
Power, Energy, and Thermal Considerations in {SSD-Based}{I/O} Acceleration
Solid State Disks (SSDs) have risen to prominence as an I/O accelerator with low power
consumption and high energy efficiency. In this paper, we question some common …
consumption and high energy efficiency. In this paper, we question some common …