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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

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

NVMs have promising advantages (e.g., lower idle power, higher density) over the existing predominant main memory technology, DRAM. Yet, NVMs also have disadvantages (e.g., limited endurance). System architects are therefore examining…

Hardware Architecture · Computer Science 2019-03-26 Reza Salkhordeh , Onur Mutlu , Hossein Asadi

Non-volatile memory (NVM) is a class of promising scalable memory technologies that can potentially offer higher capacity than DRAM at the same cost point. Unfortunately, the access latency and energy of NVM is often higher than those of…

Hardware Architecture · Computer Science 2018-05-01 HanBin Yoon , Justin Meza , Rachata Ausavarungnirun , Rachael A. Harding , Onur Mutlu

Modern NVMM is closing the gap between DRAM and persistent storage, both in terms of performance and features. Having both byte addressability and persistence on the same device gives NVMM an unprecedented set of features, leading to the…

Operating Systems · Computer Science 2023-05-04 Rémi Dulong , Quentin Acher , Baptiste Lepers , Valerio Schiavoni , Pascal Felber , Gaël Thomas

Hybrid memory systems, comprised of emerging non-volatile memory (NVM) and DRAM, have been proposed to address the growing memory demand of applications. Emerging NVM technologies, such as phase-change memories (PCM), memristor, and 3D…

Hardware Architecture · Computer Science 2024-03-19 Fei Wen , Mian Qin , Paul V. Gratz , A. L. Narasimha Reddy

The current mobile applications have rapidly growing memory footprints, posing a great challenge for memory system design. Insufficient DRAM main memory will incur frequent data swaps between memory and storage, a process that hurts…

Hardware Architecture · Computer Science 2024-03-19 Fei Wen , Mian Qin , Paul Gratz , Narasimha Reddy

In this paper, we present a SRAM-PCM hybrid cache design, along with a cache replacement policy, named dead fast block (DFB) to manage the hybrid cache. This design aims to leverage the best features of both SRAM and PCM devices. Compared…

Hardware Architecture · Computer Science 2013-11-04 Sparsh Mittal

DRAM-based main memory and its associated components increasingly account for a significant portion of application performance bottlenecks and power budget demands inside the computing ecosystem. To alleviate the problems of storage density…

Cryptography and Security · Computer Science 2019-02-12 Fan Yao , Guru Venkataramani

The emergence of Phase-Change Memory (PCM) provides opportunities for directly connecting persistent memory to main memory bus. While PCM achieves high read throughput and low standby power, the critical concerns are its poor write…

Hardware Architecture · Computer Science 2020-07-28 Yinjin Fu

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

Advances in storage technology have introduced Non-Volatile Memory, NVM, as a new storage medium. NVM, along with Dynamic Random Access Memory (DRAM), Solid State Disk (SSD), and Disk present a system designer with a wide array of options…

Databases · Computer Science 2025-06-06 Shahram Ghandeharizadeh , Sandy Irani , Jenny Lam

With emerging storage-class memory (SCM) nearing commercialization, there is evidence that it will deliver the much-anticipated high density and access latencies within only a few factors of DRAM. Nevertheless, the latency-sensitive nature…

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

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

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

Non-volatile memory (NVM) has the potential to disrupt the boundary between memory and storage, including the abstractions that manage this boundary. Researchers comparing the speed, durability, and abstractions of hybrid systems with DRAM,…

Programming Languages · Computer Science 2018-08-02 Shoaib Akram , Jennifer B. Sartor , Kathryn S. McKinley , Lieven Eeckhout

Non-volatile memory (NVM) provides a scalable and power-efficient solution to replace DRAM as main memory. However, because of relatively high latency and low bandwidth of NVM, NVM is often paired with DRAM to build a heterogeneous memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-03 Kai Wu , Yingchao Huang , Dong Li

The rapid growth of deep neural network (DNN) workloads has significantly increased the demand for large-capacity on-chip SRAM in machine learning (ML) applications, with SRAM arrays now occupying a substantial fraction of the total die…

Hardware Architecture · Computer Science 2025-12-30 Subhradip Chakraborty , Ankur Singh , Xuming Chen , Gourav Datta , Akhilesh R. Jaiswal

With the emergence of Non-Volatile Memories (NVMs) and their shortcomings such as limited endurance and high power consumption in write requests, several studies have suggested hybrid memory architecture employing both Dynamic Random Access…

Operating Systems · Computer Science 2018-05-08 Reza Salkhordeh , Hossein Asadi
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