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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

Advancement in Processor technology has made it easy to handle data-intensive workloads, but limiting main memory advances has created performance bottlenecks. In DRAM, there have been improvements in DRAM access latency as well as…

Hardware Architecture · Computer Science 2021-05-24 Saurabh Jaiswal , Shailendra Kumar Gupta , Soumya Soubhagya Dandapat

The never-ending demand for high performance and energy efficiency is pushing designers towards an increasing level of heterogeneity and specialization in modern computing systems. In such systems, creating efficient memory architectures is…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-20 Stephanie Soldavini , Christian Pilato

The use of multi-chip modules (MCM) and/or multi-socket boards is the most suitable approach to increase the computation density of servers while keep chip yield attained. This paper introduces a new coherence protocol suitable, in terms of…

Hardware Architecture · Computer Science 2024-05-06 Lucia G. Menezo , Valentin Puente , Jose A. Gregorio

Rowhammer is a hardware vulnerability in DRAM memory, where repeated access to memory can induce bit flips in neighboring memory locations. Being a hardware vulnerability, rowhammer bypasses all of the system memory protection, allowing…

Cryptography and Security · Computer Science 2020-07-30 Zhi Zhang , Yueqiang Cheng , Dongxi Liu , Surya Nepal , Zhi Wang , Yuval Yarom

Processing-in-memory (PIM) architectures have seen an increase in popularity recently, as the high internal bandwidth available within 3D-stacked memory provides greater incentive to move some computation into the logic layer of the memory.…

Repeated off-chip memory accesses to DRAM drive up operating power for data-intensive applications, and SRAM technology scaling and leakage power limits the efficiency of embedded memories. Future on-chip storage will need higher density…

Emerging Technologies · Computer Science 2022-01-13 Lillian Pentecost , Alexander Hankin , Marco Donato , Mark Hempstead , Gu-Yeon Wei , David Brooks

Rowhammer is a hardware security vulnerability at the heart of every system with modern DRAM-based memory. Despite its discovery a decade ago, comprehensive defenses remain elusive, while the probability of successful attacks grows with…

Cryptography and Security · Computer Science 2024-09-25 Anish Saxena , Walter Wang , Alexandros Daglis

In recent years, there is an increasing demand of big memory systems so to perform large scale data analytics. Since DRAM memories are expensive, some researchers are suggesting to use other memory systems such as non-volatile memory (NVM)…

Performance · Computer Science 2016-10-03 Gaoying Ju , Yongkun Li , Yinlong Xu , Jiqiang Chen , John C. S. Lui

Triple Modular Redundancy (TMR) is a suitable fault tolerant technique for SRAM-based FPGA. However, one of the main challenges in achieving 100% robustness in designs protected by TMR running on programmable platforms is to prevent upsets…

Hardware Architecture · Computer Science 2011-11-09 F. Lima Kastensmidt , L. Sterpone , L. Carro , M. Sonza Reorda

SRAM-based cache memory faces several scalability limitations in deep nanoscale technologies, e.g., high leakage current, low cell stability, and low density. Emerging Non-Volatile Memory (NVM) technologies have received lots of attention…

Emerging Technologies · Computer Science 2025-12-02 Elham Cheshmikhani , Fateme Shokouhinia , Hamed Farbeh

In recent times, Resistive RAMs (ReRAMs) have gained significant prominence due to their unique feature of supporting both non-volatile storage and logic capabilities. ReRAM is also reported to provide extremely low power consumption…

Emerging Technologies · Computer Science 2018-09-24 Debjyoti Bhattacharjee , Yaswanth Tavva , Arvind Easwaran , Anupam Chattopadhyay

Generalized Additive Models (GAMs) are widely used explainable-by-design models in various applications. GAMs assume that the output can be represented as a sum of univariate functions, referred to as components. However, this assumption…

Machine Learning · Computer Science 2023-09-22 Vasilis Gkolemis , Anargiros Tzerefos , Theodore Dalamagas , Eirini Ntoutsi , Christos Diou

Individuals lack oversight over systems that process their data. This can lead to discrimination and hidden biases that are hard to uncover. Recent data protection legislation tries to tackle these issues, but it is inadequate. It does not…

Software Engineering · Computer Science 2023-05-22 Valentin Zieglmeier , Alexander Pretschner

Processing In Memory (PIM) accelerators are promising architecture that can provide massive parallelization and high efficiency in various applications. Such architectures can instantaneously provide ultra-fast operation over extensive…

Hardware Architecture · Computer Science 2022-07-26 Kazi Abu Zubair , Sumit Kumar Jha , David Mohaisen , Clayton Hughes , Amro Awad

The rise of microservice architectures has revolutionized application design, fostering adaptability and resilience. These architectures facilitate scaling and encourage collaborative efforts among specialized teams, streamlining deployment…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-21 Herve Mbikayi Kabamba , Matthew Khouzam , Michel Dagenais

Oblivious RAM (ORAM) is a provable secure primitive to prevent access pattern leakage on the memory bus. It serves as the intermediate layer between the trusted on-chip components and the untrusted external memory systems to modulate the…

Hardware Architecture · Computer Science 2023-01-03 Gang Liu , Kenli Li , Zheng Xiao , Rujia Wang

Given its high integration density, high speed, byte addressability, and low standby power, non-volatile or persistent memory is expected to supplement/replace DRAM as main memory. Through persistency programming models (which define…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-04-30 Zhen Lin , Mohammad Alshboul , Yan Solihin , Huiyang Zhou

This paper investigates the relationship between mapping style and device roadmap in Resistive Random Access Memory (ReRAM) architectures for neuromorphic computing. The study leverages simulations using DNN+NeuroSim to evaluate the impact…

Emerging Technologies · Computer Science 2023-07-17 Enrico F. Persico

Our ISCA 2013 paper provides a fundamental empirical understanding of two major factors that make it very difficult to determine the minimum data retention time of a DRAM cell, based on the first comprehensive experimental characterization…

Hardware Architecture · Computer Science 2023-06-29 Onur Mutlu