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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

This paper presents a systematic approach for designing robust linear proportional-integral (PI) servo-controllers that effectively manage control input and output constraints in flight control systems. The control design leverages the…

Systems and Control · Electrical Eng. & Systems 2026-03-09 Marcel Menner , Eugene Lavretsky

In this letter, we propose a robust beamforming design for non-orthogonal multiple access (NOMA) based multiple-input single-output (MISO) downlink systems. In particular, the robust power minimization problem is studied with imperfect…

Information Theory · Computer Science 2017-08-29 Faezeh Alavi , Kanapathippillai Cumanan , Zhiguo Ding , Alister G. Burr

Modern processors deploy a variety of weak memory models, which for efficiency reasons may execute instructions in an order different to that specified by the program text. The consequences of instruction reordering can be complex and…

Logic in Computer Science · Computer Science 2018-12-05 Robert J. Colvin , Graeme Smith

Memory consistency models (MCMs) are at the heart of concurrent programming. They represent the behaviour of concurrent programs at the chip level. To test these models small program snippets called litmus test are generated, which show…

Programming Languages · Computer Science 2018-08-30 Ruth Hoffmann , Özgür Akgün , Susmit Sarkar

The growing demand for edge computing and AI drives research into analog in-memory computing using memristors, which overcome data movement bottlenecks by computing directly within memory. However, device failures and variations critically…

Emerging Technologies · Computer Science 2025-07-16 Zhicheng Xu , Jiawei Liu , Sitao Huang , Zefan Li , Shengbo Wang , Bo Wen , Ruibin Mao , Mingrui Jiang , Giacomo Pedretti , Jim Ignowski , Kaibin Huang , Can Li

The von Neumann architecture, in which the memory and the computation units are separated, demands massive data traffic between the memory and the CPU. To reduce data movement, new technologies and computer architectures have been explored.…

Emerging Technologies · Computer Science 2022-09-01 Adi Eliahu , Rotem Ben-Hur , Ronny Ronen , Shahar Kvatinsky

Compute-in-memory (CiM) architectures promise significant improvements in energy efficiency and throughput for deep neural network acceleration by alleviating the von Neumann bottleneck. However, their reliance on emerging non-volatile…

Machine Learning · Computer Science 2026-03-05 Yifan Qin , Jiahao Zheng , Zheyu Yan , Wujie Wen , Xiaobo Sharon Hu , Yiyu Shi

The recent Spectre attacks has demonstrated the fundamental insecurity of current computer microarchitecture. The attacks use features like pipelining, out-of-order and speculation to extract arbitrary information about the memory contents…

Cryptography and Security · Computer Science 2020-08-18 Roberto Guanciale , Musard Balliu , Mads Dam

Since the introduction of the CDC 6600 in 1965 and its `scoreboarding' technique processors have not (necessarily) executed instructions in program order. Programmers of high-level code may sequence independent instructions in arbitrary…

Logic in Computer Science · Computer Science 2021-05-07 Robert J. Colvin

The possibility of in-memory computing with volatile memristive devices, namely, memristors requiring a power source to sustain their memory, is demonstrated. We have adopted a hysteretic graphene-based field emission structure as a…

Mesoscale and Nanoscale Physics · Physics 2017-01-17 Y. V. Pershin , S. N. Shevchenko

We present an extension of Vapnik's classical empirical risk minimizer (ERM) where the empirical risk is replaced by a median-of-means (MOM) estimator, the new estimators are called MOM minimizers. While ERM is sensitive to corruption of…

Statistics Theory · Mathematics 2018-08-10 Guillaume Lecué , Matthieu Lerasle , Timothée Mathieu

While Mixture of Experts (MoE) models achieve remarkable efficiency by activating only subsets of parameters, they suffer from high memory access costs during inference. Memory-layer architectures offer an appealing alternative with very…

Machine Learning · Computer Science 2025-08-27 Zihao Huang , Yu Bao , Qiyang Min , Siyan Chen , Ran Guo , Hongzhi Huang , Defa Zhu , Yutao Zeng , Banggu Wu , Xun Zhou , Siyuan Qiao

Stencil algorithms on regular lattices appear in many fields of computational science, and much effort has been put into optimized implementations. Such activities are usually not guided by performance models that provide estimates of…

Performance · Computer Science 2016-01-28 Holger Stengel , Jan Treibig , Georg Hager , Gerhard Wellein

As RISC-V architectures proliferate across embedded and high-performance domains, developers face persistent challenges in performance optimization due to fragmented tooling, immature hardware features, and platform-specific defects. This…

Performance · Computer Science 2025-07-31 Alexander Batashev

Recently reconstruction-based deep models have been widely used for time series anomaly detection, but as their capacity and generalization capability increase, these models tend to over-generalize, often reconstructing unseen anomalies…

Machine Learning · Computer Science 2026-01-30 Samuel Yoon , Jongwon Kim , Juyoung Ha , Young Myoung Ko

We investigate the minimal number of failures that can partition a system where processes communicate both through shared memory and by message passing. We prove that this number precisely captures the resilience that can be achieved by…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-12-22 Hagit Attiya , Sweta Kumari , Noa Schiller

The model reduction problem for high-order multi-input, multi-output (MIMO) polynomial nonlinear systems based on moment matching is addressed. The technique of power-series decomposition is exploited: this decomposes the solution of the…

Systems and Control · Electrical Eng. & Systems 2025-08-20 Chao Huang , Alessandro Astolfi

Event structures are fundamental models in concurrency theory, providing a representation of events in computation and of their relations, notably concurrency, conflict and causality. In this paper we present a theory of minimisation for…

Logic in Computer Science · Computer Science 2019-07-17 Paolo Baldan , Alessandra Raffaetà

The trend towards highly parallel multi-processing is ubiquitous in all modern computer architectures, ranging from handheld devices to large-scale HPC systems; yet many applications are struggling to fully utilise the multiple levels of…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-07-19 Michael Lange , Gerard Gorman , Michele Weiland , Lawrence Mitchell , Xiaohu Guo , James Southern
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