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While deep neural network (DNN)-based video denoising has demonstrated significant performance, deploying state-of-the-art models on edge devices remains challenging due to stringent real-time and energy efficiency requirements.…

Computer Vision and Pattern Recognition · Computer Science 2025-05-29 Shan Gao , Zhiqiang Wu , Yawen Niu , Xiaotao Li , Qingqing Xu

Memristive in-memory computing (IMC) has emerged as a promising solution for addressing the bottleneck in the Von Neumann architecture. However, the couplingbetweenthecircuitandalgorithm in IMC makes computing reliability susceptible to…

Hardware Architecture · Computer Science 2025-11-24 Houji Zhou , Ling Yang , Zhiwei Zhou , Yi Li , Xiangshui Miao

Recently, analog compute-in-memory (CIM) architectures based on emerging analog non-volatile memory (NVM) technologies have been explored for deep neural networks (DNN) to improve energy efficiency. Such architectures, however, leverage…

Signal Processing · Electrical Eng. & Systems 2020-08-07 Zhe Wan , Tianyi Wang , Yiming Zhou , Subramanian S. Iyer , Vwani P. Roychowdhury

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

Memristive devices represent a promising technology for building neuromorphic electronic systems. In addition to their compactness and non-volatility features, they are characterized by computationally relevant physical properties, such as…

Emerging Technologies · Computer Science 2018-07-18 Melika Payvand , Manu V Nair , Lorenz K. Muller , Giacomo Indiveri

Non-volatile memory (NVM) based compute-in-memory (CIM) accelerators have emerged as a sustainable solution to significantly boost energy efficiency and minimize latency for Deep Neural Networks (DNNs) inference due to their in-situ data…

Hardware Architecture · Computer Science 2025-08-19 Yifan Qin , Zheyu Yan , Wujie Wen , Xiaobo Sharon Hu , Yiyu Shi

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

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

As data-intensive applications increasingly strain conventional computing systems, processing-in-memory (PIM) has emerged as a promising paradigm to alleviate the memory wall by minimizing data transfer between memory and processing units.…

Emerging Technologies · Computer Science 2026-02-05 Thomas Neuner , Henriette Padberg , Lior Kornblum , Eilam Yalon , Pedram Khalili Amiri , Shahar Kvatinsky

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

Resilience is a major design goal for HPC. Checkpoint is the most common method to enable resilient HPC. Checkpoint periodically saves critical data objects to non-volatile storage to enable data persistence. However, using checkpoint, we…

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

The AI problem has no solution in the environment of existing hardware stack and OS architecture. CPU-centric model of computation has a huge number of drawbacks that originate from memory hierarchy and obsolete architecture of the…

Operating Systems · Computer Science 2019-03-20 Viacheslav Dubeyko

This paper introduces a novel approach in neuromorphic computing, integrating heterogeneous hardware nodes into a unified, massively parallel architecture. Our system transcends traditional single-node constraints, harnessing the neural…

Hardware Architecture · Computer Science 2024-10-02 Murat Isik , Jonathan Naoukin , I. Can Dikmen

The ever-increasing computation complexity of fast-growing Deep Neural Networks (DNNs) has requested new computing paradigms to overcome the memory wall in conventional Von Neumann computing architectures. The emerging Computing-In-Memory…

Hardware Architecture · Computer Science 2021-07-21 Kaining Zhou , Yangshuo He , Rui Xiao , Kejie Huang

Emerging non-volatile memory (NVM) technologies offer unique advantages in energy efficiency, latency, and features such as computing-in-memory. Consequently, emerging NVM technologies are considered an ideal substrate for computation and…

The storage industry is moving toward emerging non-volatile memories (NVMs), including the spin-transfer torque magnetoresistive random-access memory (STT-MRAM) and the phase-change memory (PCM), owing to their high density and low-power…

Emerging Technologies · Computer Science 2020-04-28 Nikhil Rangarajan , Satwik Patnaik , Johann Knechtel , Ozgur Sinanoglu , Shaloo Rakheja

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

Development of memory devices with ultimate performance has played a key role in innovation of modern electronics. As a mainstream technology nonvolatile memory devices have manifested high capacity and mechanical reliability, however…

Emerging non-volatile memory (NVM) is promising for building future HPC. Leveraging the non-volatility of NVM as main memory, we can restart the application using data objects remaining on NVM when the application crashes. This paper…

Performance · Computer Science 2019-06-25 Jie Ren , Kai Wu , Dong Li

Non-volatile Memory (NVM) could bridge the gap between memory and storage. However, NVMs are susceptible to data remanence attacks. Thus, multiple security metadata must persist along with the data to protect the confidentiality and…

Hardware Architecture · Computer Science 2024-07-15 Rajat Jain , Aravinda Prasad , Sreenivas Subramoney , Arkaprava Basu