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Phase-change materials (PCMs) are the subject of considerable interest because they have been recognized as potential active layers for next-generation non-volatile memory devices, known as Phase Change Random Access Memories (PRAMs). By…

Materials Science · Physics 2015-05-14 M. Micoulaut , J-Y. Raty , C. Otjacques , C. Bichara

Learning-based lossless compressors play a crucial role in large-scale genomic database backup, storage, transmission, and management. However, their 1) inadequate compression ratio, 2) low compression \& decompression throughput, and 3)…

Machine Learning · Computer Science 2025-07-18 Hui Sun , Yanfeng Ding , Liping Yi , Huidong Ma , Gang Wang , Xiaoguang Liu , Cheng Zhong , Wentong Cai

The unique optical properties of phase change materials (PCMs) can be exploited to develop efficient reconfigurable photonic devices. Here, we design, model, and compare the performance of programmable 1X2 optical couplers based on:…

Computing has a huge memory problem. The memory system, consisting of multiple technologies at different levels, is responsible for most of the energy consumption, performance bottlenecks, robustness problems, monetary cost, and hardware…

Hardware Architecture · Computer Science 2025-09-05 Onur Mutlu , Ataberk Olgun , Ismail Emir Yuksel

Ferroelectric field effect transistors (FeFETs) are being actively investigated with the potential for in-memory computing (IMC) over other non-volatile memories (NVMs). Content Addressable Memories (CAMs) are a form of IMC that performs…

Emerging Technologies · Computer Science 2020-07-20 Xunzhao Yin , Chao Li , Qingrong Huang , Li Zhang , Michael Niemier , Xiaobo Sharon Hu , Cheng Zhuo , Kai Ni

Privacy-preserving computation techniques like homomorphic encryption (HE) and secure multi-party computation (SMPC) enhance data security by enabling processing on encrypted data. However, the significant computational and CPU-DRAM data…

Cryptography and Security · Computer Science 2024-09-26 Mpoki Mwaisela

Phase changing materials (PCM) are widely used for optical data recording, sensing, all-optical switching, and optical limiting. Our focus here is on the case when the change in the transmission characteristics of the optical material is…

Optics · Physics 2018-01-10 Roney Thomas , Fred M. Ellis , Ilya Vitebsky , Tsampikos Kottos

Intel Optane DC Persistent Memory (Optane PMM) is a new kind of byte-addressable memory with higher density and lower cost than DRAM. This enables the design of affordable systems that support up to 6TB of randomly accessible memory. In…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-25 Gurbinder Gill , Roshan Dathathri , Loc Hoang , Ramesh Peri , Keshav Pingali

Cell-free massive MIMO has matured into a key candidate technology for 6G and beyond, owing to its ability to provide nearly uniform service quality to many user equipments (UEs) over the same time-frequency resources. Unlike conventional…

Signal Processing · Electrical Eng. & Systems 2026-05-25 Özlem Tuğfe Demir , Salih Gümüşbuğa

Reconfigurable or programmable photonic devices are rapidly growing and have become an integral part of many optical systems. The ability to selectively modulate electromagnetic waves through electrical stimuli is crucial in the advancement…

Analog processing-using-memory (PUM; a.k.a. in-memory computing) makes use of electrical interactions inside memory arrays to perform bulk matrix-vector multiplication (MVM) operations. However, many popular matrix-based kernels need to…

Hardware Architecture · Computer Science 2026-05-06 Ryan Wong , Ben Feinberg , Saugata Ghose

Scalable persistent memory (PM) has opened up new opportunities for building indexes that operate and persist data directly on the memory bus, potentially enabling instant recovery, low latency and high throughput. When real PM hardware…

Databases · Computer Science 2022-07-29 Yuliang He , Duo Lu , Kaisong Huang , Tianzheng Wang

Storage-class memory (SCM) combines the benefits of a solid-state memory, such as high-performance and robustness, with the archival capabilities and low cost of conventional hard-disk magnetic storage. Among candidate solid-state…

Hardware Architecture · Computer Science 2017-04-19 Wonil Choi , Mohammad Arjomand , Myoungsoo Jung , Mahmut Kandemir

It is widely agreed that phase change materials (PCMs) are of high interest for sustainable energy future. Many of the applications require anti-leakage properties of PCM, that can be accomplished through PCM encapsulation. In this study,…

In recent years, memory wall has been a great performance bottleneck of computer system. To overcome it, Non-Volatile Main Memory (NVMM) technology has been discussed widely to provide a much larger main memory capacity. Last year, Intel…

Hardware Architecture · Computer Science 2020-10-01 Tianyue Lu , Haiyang Pan , Mingyu Chen

Processing-in-memory (PIM) architectures have demonstrated great potential in accelerating numerous deep learning tasks. Particularly, resistive random-access memory (RRAM) devices provide a promising hardware substrate to build PIM…

Hardware Architecture · Computer Science 2022-02-01 Weidong Cao , Yilong Zhao , Adith Boloor , Yinhe Han , Xuan Zhang , Li Jiang

In contemporary general-purpose graphics processing units (GPGPUs), the continued increase in raw arithmetic throughput is constrained by the capabilities of the register file (single-cycle) and last-level cache (high bandwidth), which…

Emerging Technologies · Computer Science 2025-07-01 Faaiq Waqar , Ming-Yen Lee , Seongwon Yoon , Seongkwang Lim , Shimeng Yu

Intel OptaneTM DC Persistent Memory resides on the memory bus and approaches DRAM in access latency. One avenue for its adoption is to employ it in place of persistent storage; another is to use it as a cheaper and denser extension of DRAM.…

Hardware Architecture · Computer Science 2022-05-30 Alexandra Fedorova , Keith Smith , Keith Bostic , Alexander Gorrod , Sue LoVerso , Michael Cahill

Processing in memory (PIM) moves computation into memories with the goal of improving throughput and energy-efficiency compared to traditional von Neumann-based architectures. Most existing PIM architectures are either general-purpose but…

Hardware Architecture · Computer Science 2019-07-23 Oscar Castañeda , Maria Bobbett , Alexandra Gallyas-Sanhueza , Christoph Studer

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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