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Non-volatile memory (NVM) promises persistent main memory that remains correct despite loss of power. This has sparked a line of research into algorithms that can recover from a system crash. Since caches are expected to remain volatile,…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-22 Naama Ben-David , Guy E. Blelloch , Michal Friedman , Yuanhao Wei

Non-Volatile Main Memories (NVMMs) have recently emerged as promising technologies for future memory systems. Generally, NVMMs have many desirable properties such as high density, byte-addressability, non-volatility, low cost, and energy…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-12 Haikun Liu , Di Chen , Hai Jin , Xiaofei Liao , Bingsheng He , Kan Hu , Yu Zhang

Versatile Video Coding (VVC) is the next generation video coding standard finalized in July 2020. VVC introduces new coding tools enhancing the coding efficiency compared to its predecessor High Efficiency Video Coding (HEVC). These new…

Image and Video Processing · Electrical Eng. & Systems 2021-11-09 Ibrahim Farhat , Wassim Hamidouche , Adrien Grill , Daniel Ménard , Olivier Déforges

Coherent parity check (CPC) codes are a new framework for the construction of quantum error correction codes that encode multiple qubits per logical block. CPC codes have a canonical structure involving successive rounds of bit and phase…

Quantum Physics · Physics 2018-06-08 Joschka Roffe , David Headley , Nicholas Chancellor , Dominic Horsman , Viv Kendon

Edge caching and computing have been regarded as an efficient approach to tackle the wireless spectrum crunch problem. In this paper, we design a general coded caching with device computing strategy for content computation, e.g., virtual…

Information Theory · Computer Science 2020-02-17 Yingjiao Li , Zhiyong Chen , Meixia Tao

In cloud and edge computing models, it is important that compute devices at the edge be as power efficient as possible. Long short-term memory (LSTM) neural networks have been widely used for natural language processing, time series…

Neural and Evolutionary Computing · Computer Science 2020-02-26 Wen Ma , Pi-Feng Chiu , Won Ho Choi , Minghai Qin , Daniel Bedau , Martin Lueker-Boden

Data encoding is a fundamental step in emerging computing paradigms, particularly in stochastic computing (SC) and hyperdimensional computing (HDC), where it plays a crucial role in determining the overall system performance and hardware…

Emerging Technologies · Computer Science 2025-01-07 Mehran Shoushtari Moghadam , Sercan Aygun , M. Hassan Najafi

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

Several emerging non-volatile (NV) memory technologies are rising as interesting alternatives to build the Last-Level Cache (LLC). Their advantages, compared to SRAM memory, are higher density and lower static power, but write operations…

Hardware Architecture · Computer Science 2022-06-09 Carlos Escuin , Pablo Ibañez , Teresa Monreal , Jose M. Llaberia , Victor Viñals

The Versatile Video Coding (VVC) standard has been finalized by Joint Video Exploration Team (JVET) in 2020. Compared to the High Efficiency Video Coding (HEVC) standard, VVC offers about 50% compression efficiency gain, in terms of…

Image and Video Processing · Electrical Eng. & Systems 2023-12-19 Yiqun Liu , Mohsen Abdoli , Thomas Guionnet , Christine Guillemot , Aline Roumy

The integration of Large Language Models (LLMs) into software engineering education has driven the emergence of ``Vibe Coding,'' a paradigm where developers articulate high-level intent through natural language and delegate implementation…

Software Engineering · Computer Science 2026-01-07 Aizierjiang Aiersilan

The large size of the KV cache has become a major bottleneck for serving LLMs with increasing context lengths. In response, many KV cache compression methods, such as token dropping and quantization, have been proposed. However, almost all…

Hardware Architecture · Computer Science 2026-05-19 Jiayi Yao , Samuel Shen , Kuntai Du , Shaoting Feng , Dongjoo Seo , Rui Zhang , Yuyang Huang , Yuhan Liu , Shan Lu , Junchen Jiang

For the latest video coding standard Versatile Video Coding (VVC), the encoding complexity is much higher than previous video coding standards to achieve a better coding efficiency, especially for intra coding. The complexity becomes a…

Image and Video Processing · Electrical Eng. & Systems 2022-06-14 Yan Huang , Jizheng Xu , Li Zhang , Yan Zhao , Li Song

Variational Quantum Circuits (VQC) lie at the forefront of quantum machine learning research. Still, the use of quantum networks for real data processing remains challenging as the number of available qubits cannot accommodate a large…

Quantum Physics · Physics 2024-09-06 G. Maragkopoulos , A. Mandilara , A. Tsili , D. Syvridis

Stabilizer states are a central resource in quantum information processing, underpinning a wide range of applications. While they can be efficiently generated via Clifford circuits, the presence of coherent errors, such as small-angle…

Quantum Physics · Physics 2025-10-24 Giovanni Di Bartolomeo , Giulio Crognaletti , Angelo Bassi , Michele Vischi

With the skyrocketing costs of GPUs and their virtual instances in the cloud, there is a significant desire to use CPUs for large language model (LLM) inference. KV cache update, often implemented as allocation, copying, and in-place…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-18 Arun Ramachandran , Ramaswamy Govindarajan , Murali Annavaram , Prakash Raghavendra , Hossein Entezari Zarch , Lei Gao , Chaoyi Jiang

DRAM-based main memories have read operations that destroy the read data, and as a result, must buffer large amounts of data on each array access to keep chip costs low. Unfortunately, system-level trends such as increased memory contention…

Hardware Architecture · Computer Science 2018-12-18 Justin Meza , Jing Li , Onur Mutlu

In Valence Change Memory (VCM) cells, the conductance of an insulating switching layer is reversibly modulated by creating and redistributing point defects under an external field. Accurate simulations of the switching dynamics of these…

Disordered Systems and Neural Networks · Physics 2023-01-02 Manasa Kaniselvan , Mathieu Luisier , Marko Mladenović

In recent studies, it could be shown that the energy demand of Versatile Video Coding (VVC) decoders can be twice as high as comparable High Efficiency Video Coding (HEVC) decoders. A significant part of this increase in complexity is…

Image and Video Processing · Electrical Eng. & Systems 2024-02-16 Matthias Kränzler , Christian Herglotz , André Kaup

Multidimensional Voronoi constellations (VCs) are shown to be more power-efficient than quadrature amplitude modulation (QAM) formats given the same uncoded bit error rate, and also have higher achievable information rates. However, a coded…

Information Theory · Computer Science 2023-08-02 S. Li , A. Mirani , M. Karlsson , E. Agrell
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