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DRAM-based main memory and its associated components increasingly account for a significant portion of application performance bottlenecks and power budget demands inside the computing ecosystem. To alleviate the problems of storage density…

Cryptography and Security · Computer Science 2019-02-12 Fan Yao , Guru Venkataramani

The continuous growth of big data applications with high computational and scalability demands has resulted in increasing popularity of cloud computing. Optimizing the performance and power consumption of cloud resources is therefore…

Hardware Architecture · Computer Science 2019-10-30 Sahand Salamat , Behnam Khaleghi , Mohsen Imani , Tajana Rosing

For microprocessors used in real-time embedded systems, minimizing power consumption is difficult due to the timing constraints. Dynamic voltage scaling (DVS) has been incorporated into modern microprocessors as a promising technique for…

Operating Systems · Computer Science 2008-12-18 Feng Xia , Yu-Chu Tian , Youxian Sun , Jinxiang Dong

State-of-the-art in-memory computation has recently emerged as the most promising solution to overcome design challenges related to data movement inside current computing systems. One of the approaches to performing in-memory computation is…

Hardware Architecture · Computer Science 2022-09-13 Saeed Seyedfaraji , Baset Mesgari , Semeen Rehman

RowHammer is a circuit-level DRAM vulnerability, where repeatedly activating and precharging a DRAM row, and thus alternating the voltage of a row's wordline between low and high voltage levels, can cause bit flips in physically nearby…

Predictable execution time upon accessing shared memories in multi-core real-time systems is a stringent requirement. A plethora of existing works focus on the analysis of Double Data Rate Dynamic Random Access Memories (DDR DRAMs), or…

Hardware Architecture · Computer Science 2018-10-17 Mohamed Hassan

In order to shed more light on how RowHammer affects modern and future devices at the circuit-level, we first present an experimental characterization of RowHammer on 1580 DRAM chips (408x DDR3, 652x DDR4, and 520x LPDDR4) from 300 DRAM…

Hardware Architecture · Computer Science 2020-06-01 Jeremie S. Kim , Minesh Patel , A. Giray Yaglikci , Hasan Hassan , Roknoddin Azizi , Lois Orosa , Onur Mutlu

Inverter-based distributed energy resources facilitate the advanced voltage control algorithms in the online setting with the flexibility in both active and reactive power injections. A key challenge is to continuously track the…

Systems and Control · Electrical Eng. & Systems 2024-12-03 Peng Zhang , Baosen Zhang

Due to increasing cache sizes and large leakage consumption of SRAM device, conventional SRAM caches contribute significantly to the processor power consumption. Recently researchers have used non-volatile memory devices to design caches,…

Hardware Architecture · Computer Science 2014-05-01 Sparsh Mittal

Processing-using-DRAM has been proposed for a limited set of basic operations (i.e., logic operations, addition). However, in order to enable the full adoption of processing-using-DRAM, it is necessary to provide support for more complex…

As conventional technology scaling approaches physical and power limitations, modern computing systems increasingly face performance bottlenecks arising from memory latency, energy consumption, scalability constraints, and data movement…

Hardware Architecture · Computer Science 2026-05-22 Siddhartha Raman Sundara Raman

DRAM-based memory is a critical factor that creates a bottleneck on the system performance since the processor speed largely outperforms the DRAM latency. In this thesis, we develop a low-cost mechanism, called ChargeCache, which enables…

Hardware Architecture · Computer Science 2016-09-26 Hasan Hassan

In most modern systems, the memory subsystem is managed and accessed at multiple different granularities at various resources. We observe that such multi-granularity management results in significant inefficiency in the memory subsystem.…

Hardware Architecture · Computer Science 2016-05-23 Vivek Seshadri

There is an explosive growth in the size of the input and/or intermediate data used and generated by modern and emerging applications. Unfortunately, modern computing systems are not capable of handling large amounts of data efficiently.…

Hardware Architecture · Computer Science 2021-09-14 Nastaran Hajinazar

We propose Sectored DRAM, a new, low-overhead DRAM substrate that reduces wasted energy by enabling fine-grained DRAM data transfers and DRAM row activation. Sectored DRAM leverages two key ideas to enable fine-grained data transfers and…

This paper presents the effectiveness of various stress conditions (mainly voltage and frequency) on detecting the resistive shorts and open defects in deep sub-micron embedded memories in an industrial environment. Simulation studies on…

Hardware Architecture · Computer Science 2011-11-09 Ananta K. Majhi , Mohamed Azimane , Guido Gronthoud , Maurice Lousberg , Stefan Eichenberger , Fred Bowen

Fast and safe voltage regulation algorithms can serve as fundamental schemes for achieving a high level of renewable penetration in the modern distribution power grids. Faced with uncertain or even unknown distribution grid models and…

Systems and Control · Electrical Eng. & Systems 2021-12-01 Yize Chen , Yuanyuan Shi , Daniel Arnold , Sean Peisert

Voltage margins, or guardbands, are imposed on DVFS systems to account for process, voltage, and temperature variability effects. While necessary to assure correctness, guardbands reduce energy efficiency, a crucial requirement for embedded…

Hardware Architecture · Computer Science 2025-02-05 Diego V. Cirilo do Nascimento , Kyriakos Georgiou , Kerstin I. Eder , Samuel Xavier-de-Souza

The embedded DRAM (eDRAM) is more and more used in System On Chip (SOC). The integration of the DRAM capacitor process into a logic process is challenging to get satisfactory yields. The specific process of DRAM capacitor and the low…

Hardware Architecture · Computer Science 2011-11-09 L. Lopez , J. M. Portal , D. Nee

Many convolutional neural network (CNN) accelerators face performance- and energy-efficiency challenges which are crucial for embedded implementations, due to high DRAM access latency and energy. Recently, some DRAM architectures have been…

Hardware Architecture · Computer Science 2023-03-06 Rachmad Vidya Wicaksana Putra , Muhammad Abdullah Hanif , Muhammad Shafique