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Related papers: Phase change memory technology

200 papers

Many high end and next generation computing systems to incorporated alternative memory technologies to meet performance goals. Since these technologies present distinct advantages and tradeoffs compared to conventional DDR* SDRAM, such as…

Performance · Computer Science 2021-10-06 M. Ben Olson , Brandon Kammerdiener , Kshitij A. Doshi , Terry Jones , Michael R. Jantz

A prominent characteristic of write operation in Phase-Change Memory (PCM) is that its latency and energy are sensitive to the data to be written as well as the content that is overwritten. We observe that overwriting unknown memory content…

Hardware Architecture · Computer Science 2020-05-12 Shihao Song , Anup Das , Onur Mutlu , Nagarajan Kandasamy

Byte-addressable persistent memory (B-APM) presents a new opportunity to bridge the performance gap between main memory and storage. In this paper, we present the usage scenarios for this new technology, based on the capabilities of Intel's…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-12-14 Michele Weiland , Bernhard Homoelle

Repeated off-chip memory accesses to DRAM drive up operating power for data-intensive applications, and SRAM technology scaling and leakage power limits the efficiency of embedded memories. Future on-chip storage will need higher density…

Emerging Technologies · Computer Science 2022-01-13 Lillian Pentecost , Alexander Hankin , Marco Donato , Mark Hempstead , Gu-Yeon Wei , David Brooks

Resistive random-access memory (RRAM) is gaining popularity due to its ability to offer computing within the memory and its non-volatile nature. The unique properties of RRAM, such as binary switching, multi-state switching, and device…

Emerging Technologies · Computer Science 2024-07-08 Simranjeet Singh , Farhad Merchant , Sachin Patkar

The on-chip photonic switch is a critical building block for photonic integrated circuits (PICs) and the integration of phase change materials (PCMs) enables non-volatile switch designs that are compact, low-loss, and energy-efficient.…

Optics · Physics 2024-09-05 Khoi Phuong Dao , Juejun Hu , Richard Soref

Processing-in-Memory (PIM) has emerged as a promising computing paradigm to address the memory wall and the fundamental bottleneck of the von Neumann architecture by reducing costly data movement between memory and processing units. As with…

Hardware Architecture · Computer Science 2025-12-02 Mahdi Aghaei , Saba Ebrahimi , Mohammad Saleh Arafati , Elham Cheshmikhani , Dara Rahmati , Saeid Gorgin , Jungrae Kim

Pr1-xCaxMnO3 (PCMO) based resistance random access memory (RRAM) is attractive in large scale memory and neuromorphic applications as it is non-filamentary, area scalable and has multiple resistance states along with excellent endurance and…

Applied Physics · Physics 2020-04-15 Sandip Lashkare , Udayan Ganguly

High-fidelity numerical methods that model the physical layout of a device are essential for the design of many technologies. For methods that characterize electromagnetic effects, these numerical methods are referred to as computational…

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…

High-density phase change memory (PCM) storage is proposed for materials with multiple intermediate resistance states, which have been observed in 1$T$-TaS$_2$ due to charge density wave (CDW) phase transitions. However, the metastability…

Digital Memcomputing machines (DMMs) are dynamical systems with memory (time non-locality) that have been designed to solve combinatorial optimization problems. Their corresponding ordinary differential equations depend on a few…

Computational Physics · Physics 2025-11-17 Chesson Sipling , Yuan-Hang Zhang , Massimiliano Di Ventra

The phase transition behavior and charge storage mechanism of Pr$_2$MgZrO$_6$ (PMM), an oxygen-intercalated pseudocapacitor, were investigated through crystal structure analysis, Raman spectroscopy, ac conductivity spectroscopy, X ray…

Materials Science · Physics 2023-07-26 Moumin Rudra , S. Saha , T. P. Sinha

We propose and demonstrate a simple method to accurately monitor and program arbitrary states of partial crystallization in phase-change materials (PCMs). The method relies both on the optical absorption in PCMs as well as on the physics of…

Intermittent computing systems operate by relying only on harvested energy accumulated in their tiny energy reservoirs, typically capacitors. An intermittent device dies due to a power failure when there is no energy in its capacitor and…

Hardware Architecture · Computer Science 2022-02-17 Simone Ruffini , Luca Caronti , Kasım Sinan Yıldırım , Davide Brunelli

The exponential growth in data generation and large-scale data analysis creates an unprecedented need for inexpensive, low-latency, and high-density information storage. This need has motivated significant research into multi-level memory…

In-memory computing is a promising non-von Neumann approach for making energy-efficient deep learning inference hardware. Crossbar arrays of resistive memory devices can be used to encode the network weights and perform efficient analog…

Among numerous challenges to meet the rising global energy demand in a sustainable manner, improving phase change heat transfer has been at the forefront of engineering research for decades. The high heat transfer rates associated with…

Contemporary memory systems contain a variety of memory types, each possessing distinct characteristics. This trend empowers applications to opt for memory types aligning with developer's desired behavior. As a result, developers gain…

Performance · Computer Science 2024-08-14 Andrès Rubio Proaño , Kento Sato

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