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The increasing complexity and energy demands of deep learning models have highlighted the limitations of traditional computing architectures, especially for edge devices with constrained resources. Spiking Neural Networks (SNNs) offer a…

Neural and Evolutionary Computing · Computer Science 2024-12-17 Wei-Ting Chen

In recent years, researchers have explored use of non-volatile devices such as STT-RAM (spin torque transfer RAM) for designing on-chip caches, since they provide high density and consume low leakage power. A common limitation of all…

Hardware Architecture · Computer Science 2013-11-01 Sparsh Mittal

Storage Class Memory (SCM) is a class of memory technology which has recently become viable for use. Their namearises from the fact that they exhibit non-volatility of data, similar to secondary storage while also having latencies…

Hardware Architecture · Computer Science 2019-09-27 Aditya K Kamath , Leslie Monis , A Tarun Karthik , Basavaraj Talawar

Static synchronous compensators (STATCOMs) manage reactive power compensation in modern power grids and have become essential for the integration of renewable energy sources such as wind farms. Cascaded H bridges have become the preferred…

Systems and Control · Electrical Eng. & Systems 2026-03-31 Jinshui Zhang , Zane Mannings , Chris Dittmer , Angel V Peterchev , Stefan M Goetz

Spin Transfer Torque Random Access Memory (STT-RAM) has garnered interest due to its various characteristics such as non-volatility, low leakage power, high density. Its magnetic properties have a vital role in STT switching operations…

Hardware Architecture · Computer Science 2022-08-17 Saeed Seyedfaraji , Javad Talafy Daryani , Mohamed M. Sabry Aly , Semeen Rehman

Processing-in-memory (PIM) architectures bring computation closer to data, reducing the processor-memory transfer bottleneck in traditional processor-centric designs. Novel hardware solutions, such as UPMEM's in-memory processing…

Emerging Technologies · Computer Science 2026-04-10 Peterson Yuhala , Mpoki Mwaisela , Pascal Felber , Valerio Schiavoni

In this paper, we propose a Junctionless (JL)/Accumulation Mode (AM) transistor with an access transistor (JL in series with JL/AM transistor) based capacitorless Dynamic Random Access Memory (1TDRAM) cell. The JL transistor overcomes the…

Mesoscale and Nanoscale Physics · Physics 2023-09-06 Md. Hasan Raza Ansari , Jawar Singh

Much effort has been devoted to device and materials engineering to realize nanoscale resistance random access memory (RRAM) for practical applications, but there still lacks a rational physical basis to be relied on to design scalable…

Mesoscale and Nanoscale Physics · Physics 2017-04-12 Yang Lu , Jong Ho Lee , I-Wei Chen

In this paper, we investigate the impact of T_{ox} and Vth on power performance trade-offs for on-chip caches. We start by examining the optimization of the various components of a single level cache and then extend this to two level cache…

Hardware Architecture · Computer Science 2011-11-09 Robert Bai , Nam-Sung Kim , Tae Ho Kgil , Dennis Sylvester , Trevor Mudge

The 6TiSCH protocol stack plays a vital role in enabling reliable and energy-efficient communications for the Industrial Internet of Things (IIoT). However, it faces challenges, including prolonged network formation, inefficient parent…

Networking and Internet Architecture · Computer Science 2025-04-11 Ahlam Hannachi , Wael Jaafar , Salim Bitam , Nabil Ouazene

We present a multiscale simulation framework to compute the current vs. voltage (I-V ) characteristics of metal/oxide/metal structures building the core of conductive bridging random access memory (CBRAM) cells and to shed light on their…

Resistive random-access memory (ReRAM) is a promising candidate for the next generation non-volatile memory technology due to its simple read/write operations and high storage density. However, its crossbar array structure causes a severe…

Information Theory · Computer Science 2020-10-26 Guanghui Song , Kui Cai , Xingwei Zhong , Jiang Yu , Jun Cheng

The efficiency of Large Language Model~(LLM) inference is often constrained by substantial memory bandwidth and capacity demands. Existing techniques, such as pruning, quantization, and mixture of experts/depth, reduce memory capacity…

Hardware Architecture · Computer Science 2025-04-23 Rui Xie , Asad Ul Haq , Linsen Ma , Yunhua Fang , Zirak Burzin Engineer , Liu Liu , Tong Zhang

Sparse deep learning has reduced computation significantly, but its irregular non-zero data distribution complicates the data flow and hinders data reuse, increasing on-chip SRAM access and thus power consumption of the chip. This paper…

Hardware Architecture · Computer Science 2025-03-26 Kai-Chieh Hsu , Tian-Sheuan Chang

SSDs are emerging storage devices which unlike HDDs, do not have mechanical parts and therefore, have superior performance compared to HDDs. Due to the high cost of SSDs, entirely replacing HDDs with SSDs is not economically justified.…

Performance · Computer Science 2018-12-12 Reza Salkhordeh , Mostafa Hadizadeh , Hossein Asadi

As a core component in modern data centers, key-value cache provides high-throughput and low-latency services for high-speed data processing. The effectiveness of a key-value cache relies on its ability of accommodating the needed data.…

Databases · Computer Science 2024-12-13 Rui Xie , Linsen Ma , Alex Zhong , Feng Chen , Tong Zhang

This paper proposes a novel fluid antenna system (FAS)-enabled architecture to improve energy efficiency (EE) without sacrificing capacity. Specifically, we integrate FAS into cell-free massive MIMO systems to counteract low-resolution…

Information Theory · Computer Science 2026-05-28 Jun Qian , Ross Murch , Khaled B. Letaief

Distributed secondary control plays an important role in DC microgrids, since it ensures system control objectives, which are power sharing and DC bus voltage stability. Previous studies have suggested using a control architecture that…

Optimization and Control · Mathematics 2016-08-18 T. V. Vu , S. Paran , F. Diaz , T. E. Meyzani , C. S. Edrington

The last level cache is vulnerable to timing based side channel attacks because it is shared by the attacker and the victim processes even if they are located on different cores. These timing attacks evict the victim cache lines using small…

Cryptography and Security · Computer Science 2019-09-30 Kartik Ramkrishnan , Antonia Zhai , Stephen McCamant , Pen Chung Yew

Across applications, DRAM is a significant contributor to the overall system power, with the DRAM access energy per bit up to three orders of magnitude higher compared to on-chip memory accesses. To improve the power efficiency, DRAM…

Hardware Architecture · Computer Science 2018-03-22 Radhika Jagtap , Matthias Jung , Wendy Elsasser , Christian Weis , Andreas Hansson , Norbert Wehn
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