CSR: Small: High-Performance and Energy-Efficient Single-Level Stores: Efficient Coordinated Management of Storage and Memory
CSR: Small: High-Performance and Energy-Efficient Single-Level Stores: Efficient Coordinated Management of Storage and Memory
批准号:
1320531
负责人:
Franz Franchetti
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2017-08-31
中文摘要
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英文摘要
Modern computing systems require manipulation of persistentdata. However, the mechanisms to access persistent data are separatedfrom the mechanisms to manipulate such data in a traditional two-levelstorage model: persistent data is stored in non-volatile storage, suchas hard disks or solid-state disks, whereas it is manipulated involatile memory, such as DRAM. Unfortunately, this decoupled model ofsystem design leads to large amounts of inefficiency in terms of bothperformance and energy.This research undertakes a rethinking of the memory and storagesystems in the presence of new and emerging non-volatile memorytechnologies such as phase-change memory , spin-transfer torque RAM,and memristors. These technologies promise large capacities at lowlatency, making them prime candidates for the design of a single-levelcoordinated memory and storage system where the manipulation andstorage of all data are unified. Yet, there are significantapplication-level and system-level efficiency and correctnesschallenges in devising such a single-level store with emergingtechnologies. The central goal of this project is to develophardware/software cooperative techniques to enable high-performanceand energy-efficient single-level stores in computer systems targetinga wide range of applications in cloud computing, client systems, andmobile systems.It is expected that research performed in this project will enable newapplications and much more robust and efficient data storage systems,making our daily lives that increasingly depend on data processingbetter and more productive. Enabling unified memory and storage formodern computing systems can largely reduce wasted work and takeadvantage of emerging low-power technologies, thereby taking a largestep in making computing more energy efficient.
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