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Software managed byte-addressable hybrid memory systems consisting of DRAMs and NVMMs offer a lot of flexibility to design efficient large scale data processing applications. Operating systems (OS) play an important role in enabling the…

Operating Systems · Computer Science 2023-10-06 Shivank Garg , Aravinda Prasad , Debadatta Mishra , Sreenivas Subramoney

Battery-less technology evolved to replace battery technology. Non-volatile memory (NVM) based processors were explored to store the program state during a power failure. The energy stored in a capacitor is used for a backup during a power…

Hardware Architecture · Computer Science 2023-05-02 SatyaJaswanth Badri , Mukesh Saini , Neeraj Goel

In recent years, there is an increasing demand of big memory systems so to perform large scale data analytics. Since DRAM memories are expensive, some researchers are suggesting to use other memory systems such as non-volatile memory (NVM)…

Performance · Computer Science 2016-10-03 Gaoying Ju , Yongkun Li , Yinlong Xu , Jiqiang Chen , John C. S. Lui

The byte-addressable Non-Volatile Memory (NVM) is a promising technology since it simultaneously provides DRAM-like performance, disk-like capacity, and persistency. The current NVM deployment is symmetric, where NVM devices are directly…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-31 Teng Ma , Mingxing Zhang , Kang Chen , Xuehai Qian , Yongwei Wu

Modern HBM-based memory systems have evolved over generations while retaining cache line granularity accesses. Preserving this fine granularity necessitated the introduction of bank groups and pseudo channels. These structures expand timing…

Hardware Architecture · Computer Science 2025-12-02 Hwayong Nam , Seungmin Baek , Jumin Kim , Michael Jaemin Kim , Jung Ho Ahn

Typical large-scale recommender systems use deep learning models that are stored on a large amount of DRAM. These models often rely on embeddings, which consume most of the required memory. We present Bandana, a storage system that reduces…

Machine Learning · Computer Science 2018-11-16 Assaf Eisenman , Maxim Naumov , Darryl Gardner , Misha Smelyanskiy , Sergey Pupyrev , Kim Hazelwood , Asaf Cidon , Sachin Katti

As the performance gap between memory and processors has increased, then it leads to the poor performance. Efficient virtual memory can overcome this problem. And the efficiency of virtual memory depends on the replacement policy used for…

Operating Systems · Computer Science 2014-02-05 S. R. Bhalgama , C. C. Kavar , S. S. Parmar

At the end of Silicon roadmap, keeping the leakage power in tolerable limit and bridging the bandwidth gap between processor and memory have become some of the biggest challenges. Several promising Non-Volatile Memories (NVMs) such as,…

Cryptography and Security · Computer Science 2021-05-14 Mohammad Nasim Imtiaz Khan , Swaroop Ghosh

The conventional von Neumann architecture has been revealed as a major performance and energy bottleneck for rising data-intensive applications. %, due to the intensive data movements. The decade-old idea of leveraging in-memory processing…

Hardware Architecture · Computer Science 2019-06-18 Bing Li , Bonan Yan , Hai , Li

The emerging hybrid DRAM-NVM architecture is challenging the existing memory management mechanism in operating system. In this paper, we introduce memos, which can schedule memory resources over the entire memory hierarchy including cache,…

Operating Systems · Computer Science 2017-03-23 Lei Liu , Mengyao Xie , Hao Yang

Persistent Memory (PMEM), also known as Non-Volatile Memory (NVM), can deliver higher density and lower cost per bit when compared with DRAM. Its main drawback is that it is typically slower than DRAM. On the other hand, DRAM has…

Machine Learning · Computer Science 2022-11-07 Diego Moura , Vinicius Petrucci , Daniel Mosse

DRAM is the primary technology used for main memory in modern systems. Unfortunately, as DRAM scales down to smaller technology nodes, it faces key challenges in both data integrity and latency, which strongly affect overall system…

Hardware Architecture · Computer Science 2023-03-15 Hasan Hassan

SRAM-based cache memory faces several scalability limitations in deep nanoscale technologies, e.g., high leakage current, low cell stability, and low density. Emerging Non-Volatile Memory (NVM) technologies have received lots of attention…

Emerging Technologies · Computer Science 2025-12-02 Elham Cheshmikhani , Fateme Shokouhinia , Hamed Farbeh

With the imminent slowing down of DRAM scaling, Phase Change Memory (PCM) is emerging as a lead alternative for main memory technology. While PCM achieves low energy due to various technology-specific advantages, PCM is significantly slower…

Hardware Architecture · Computer Science 2015-04-17 Hamza Bin Sohail , Balajee Vamanan , T. N. Vijaykumar

HPC applications pose high demands on I/O performance and storage capability. The emerging non-volatile memory (NVM) techniques offer low-latency, high bandwidth, and persistence for HPC applications. However, the existing I/O stack are…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-11 Wei Liu , Kai Wu , Jialin Liu , Feng Chen , Dong Li

Phase-change memory (PCM) is a scalable and low latency non-volatile memory (NVM) technology that has been proposed to serve as storage class memory (SCM), providing low access latency similar to DRAM and often approaching or exceeding the…

Hardware Architecture · Computer Science 2020-12-01 Shihao Song , Anup Das

Over the past two decades, the storage capacity and access bandwidth of main memory have improved tremendously, by 128x and 20x, respectively. These improvements are mainly due to the continuous technology scaling of DRAM (dynamic…

Hardware Architecture · Computer Science 2017-12-25 Kevin K. Chang

The emergence of high-density byte-addressable non-volatile memory (NVM) is promising to accelerate data- and compute-intensive applications. Current NVM technologies have lower performance than DRAM and, thus, are often paired with DRAM in…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-08-17 Ivy Peng , Kai Wu , Jie Ren , Dong Li , Maya Gokhale

Hybrid memory systems comprised of dynamic random access memory (DRAM) and non-volatile memory (NVM) have been proposed to exploit both the capacity advantage of NVM and the latency and dynamic energy advantages of DRAM. An important…

Hardware Architecture · Computer Science 2019-12-18 Yang Li , Jongmoo Choi , Jin Sun , Saugata Ghose , Hui Wang , Justin Meza , Jinglei Ren , Onur Mutlu

Non-Volatile Memory (NVM) cells are used in neuromorphic hardware to store model parameters, which are programmed as resistance states. NVMs suffer from the read disturb issue, where the programmed resistance state drifts upon repeated…

Neural and Evolutionary Computing · Computer Science 2022-01-28 Ankita Paul , Shihao Song , Twisha Titirsha , Anup Das