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A key practical constraint on the design of Hybrid automatic repeat request (HARQ) schemes is the size of the on-chip buffer that is available at the receiver to store previously received packets. In fact, in modern wireless standards such…

Information Theory · Computer Science 2015-04-01 Wonju Lee , Osvaldo Simeone , Joonhyuk Kang , Sundeep Rangan , Petar Popovski

Transformer-based models have become the \textit{de facto} backbone across many fields, such as computer vision and natural language processing. However, as these models scale in size, external memory access (EMA) for weight and activations…

Machine Learning · Computer Science 2025-03-26 Tseng-Jen Li , Tian-Sheuan Chang

In modern power systems, the integration of converter-interfaced generations requires the development of electromagnetic transient network simulation programs (EMTP) that can capture rapid fluctuations. However, as the power system scales,…

Quantum Physics · Physics 2025-02-18 Qi Lou , Yijun Xu , Wei Gu

Communication systems use the concept of transmitting information using the electrical distribution network as a communication channel. To enable the transmission data signal modulated on a carrier signal is superimposed on the electrical…

Hardware Architecture · Computer Science 2012-03-12 Naagesh S. Bhat

The first stage of the ATLAS Fast TracKer (FTK) is an ATCA-based input interface system, where hits from the entire silicon tracker are clustered and organized into overlapping eta-phi trigger towers before being sent to the tracking…

In this paper, we propose the Quantum Data Center (QDC), an architecture combining Quantum Random Access Memory (QRAM) and quantum networks. We give a precise definition of QDC, and discuss its possible realizations and extensions. We…

Quantum Physics · Physics 2023-09-25 Junyu Liu , Connor T. Hann , Liang Jiang

Emerging high-performance storage technologies are opening up the possibility of designing new distributed data acquisition system architectures, in which the live acquisition of data and their processing are decoupled through a storage…

Instrumentation and Detectors · Physics 2020-11-04 Adam Abed Abud , Giovanna Lehmann , Roland Sipos

This paper outlines the establishment of a generic cryogenic CMOS database in which key electrical parameters and transfer characteristics of the MOSFETs are quantified as functions of device size, temperature/frequency responses.…

The data acquisition console is an important component of the EAST data acquisition system which provides unified data acquisition and long-term data storage for diagnostics. The data acquisition console is used to manage the data…

Instrumentation and Detectors · Physics 2020-10-30 Chen Ying , Li Shi

The muon campus program at Fermilab includes the Mu2e experiment that will search for a charged-lepton flavor violating processes where a negative muon converts into an electron in the field of an aluminum nucleus, improving by four orders…

This paper develops a Nearly Autonomous Management and Control (NAMAC) system for advanced reactors. The development process of NAMAC is characterized by a three layer-layer architecture: knowledge base, the Digital Twin (DT) developmental…

Signal Processing · Electrical Eng. & Systems 2020-09-01 Linyu Lin , Paridhi Athe , Pascal Rouxelin , Robert Youngblood , Abhinav Gupta , Jeffrey Lane , Maria Avramova , Nam Dinh

Graphical Processing Units (GPUs) have recently become a valuable computing tool for the acquisition of data at high rates and for a relatively low cost. The devices work by parallelizing the code into thousands of threads, each executing a…

Instrumentation and Detectors · Physics 2016-11-16 W. Gohn

Quantum supremacy has been explored extensively in gate-model settings. Here, we introduce a quantum-supremacy framework for a hybrid digital-analog-digital quantum computing (DADQC) model. We consider a device that applies an initial layer…

Quantum Physics · Physics 2025-12-09 Daniel Lidar

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

Processing-in-memory (PIM) has emerged as a promising solution for accelerating memory-intensive workloads as they provide high memory bandwidth to the processing units. This approach has drawn attention not only from the academic community…

Hardware Architecture · Computer Science 2024-09-11 Dongjae Lee , Bongjoon Hyun , Taehun Kim , Minsoo Rhu

As the models and the datasets to train deep learning (DL) models scale, system architects are faced with new challenges, one of which is the memory capacity bottleneck, where the limited physical memory inside the accelerator device…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-19 Youngeun Kwon , Minsoo Rhu

This paper presents the design of a research platform for autonomous driving applications, the Delft's Autonomous-driving Robotic Testbed (DART). Our goal was to design a small-scale car-like robot equipped with all the hardware needed for…

Robotics · Computer Science 2024-02-13 Lorenzo Lyons , Thijs Niesten , Laura Ferranti

We study a coupling/decoupling method between a superconducting qubit and a data bus that uses a controllable time-dependent electromagnetic field (TDEF). As in recent experiments, the data bus can be either an LC circuit or a cavity field.…

Superconductivity · Physics 2009-11-11 Yu-xi Liu , C. P. Sun , Franco Nori

The pre-ranking stage in industrial recommendation systems faces a fundamental conflict between efficiency and effectiveness. While powerful models like Target Attention (TA) excel at capturing complex feature interactions in the ranking…

Information Retrieval · Computer Science 2026-05-26 Yutong Li , Yu Zhu , Yichen Qiao , Ziyu Guan , Lv Shao , Tong Liu , Bo Zheng

Research in developing data-driven models for Air Traffic Management (ATM) has gained a tremendous interest in recent years. However, data-driven models are known to have long training time and require large datasets to achieve good…

Machine Learning · Computer Science 2024-01-29 Chuhao Deng , Hong-Cheol Choi , Hyunsang Park , Inseok Hwang