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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

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

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

The rapid development of multi-core system and increase of data-intensive application in recent years call for larger main memory. Traditional DRAM memory can increase its capacity by reducing the feature size of storage cell. Now further…

Hardware Architecture · Computer Science 2016-06-13 Shenchen Ruan , Haixia Wang , Dongsheng Wang

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

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 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

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

The design of the buffer manager in database management systems (DBMSs) is influenced by the performance characteristics of volatile memory (DRAM) and non-volatile storage (e.g., SSD). The key design assumptions have been that the data must…

Databases · Computer Science 2019-01-31 Joy Arulraj , Andy Pavlo , Krishna Teja Malladi

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

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

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

We propose overcoming the memory capacity limitation of GPUs with high-capacity Storage-Class Memory (SCM) and DRAM cache. By significantly increasing the memory capacity with SCM, the GPU can capture a larger fraction of the memory…

Hardware Architecture · Computer Science 2024-03-15 Jeongmin Hong , Sungjun Cho , Geonwoo Park , Wonhyuk Yang , Young-Ho Gong , Gwangsun Kim

As SRAM-based caches are hitting a scaling wall, manufacturers are integrating DRAM-based caches into system designs to continue increasing cache sizes. While DRAM caches can improve the performance of memory systems, existing DRAM cache…

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

The number of battery-powered devices is rapidly increasing due to the widespread use of IoT-enabled nodes in various fields. Energy harvesters, which help to power embedded devices, are a feasible alternative to replacing battery-powered…

Hardware Architecture · Computer Science 2023-05-18 SatyaJaswanth Badri , Mukesh Saini , Neeraj Goel

With the availability of hybrid DRAM-NVRAM memory on the memory bus of CPUs, a number of file systems on NVRAM have been designed and implemented. In this paper we present the design and implementation of a file system on NVRAM called…

Operating Systems · Computer Science 2018-11-05 Chandan Kalita , Gautam Barua , Priya Sehgal

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) 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
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