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The speed of modern digital systems is severely limited by memory latency (the ``Memory Wall'' problem). Data exchange between Logic and Memory is also responsible for a large part of the system energy consumption. Logic--In--Memory (LiM)…

Hardware Architecture · Computer Science 2023-04-14 Fabrizio Ottati , Giovanna Turvani , Marco Vacca , Guido Masera

Massive off-chip accesses in GPUs are the main performance bottleneck, and we divided these accesses into three types: (1) Write, (2) Data-Read, and (3) Read-Only. Besides, We find that many writes are duplicate, and the duplication can be…

Hardware Architecture · Computer Science 2024-08-20 Wei Zhao , Dan Feng , Wei Tong , Xueliang Wei , Bing Wu

We propose overcoming the memory capacity limitation of GPUs with high-capacity Storage-Class Memory (SCM) and DRAM cache. By significantly increasing the memory capacity with SCM, the GPU can capture a larger fraction of the memory…

Hardware Architecture · Computer Science 2024-03-15 Jeongmin Hong , Sungjun Cho , Geonwoo Park , Wonhyuk Yang , Young-Ho Gong , Gwangsun Kim

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

In this paper, we present a SRAM-PCM hybrid cache design, along with a cache replacement policy, named dead fast block (DFB) to manage the hybrid cache. This design aims to leverage the best features of both SRAM and PCM devices. Compared…

Hardware Architecture · Computer Science 2013-11-04 Sparsh Mittal

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

Modern deep neural network (DNN) applications integrate multiple DNN models into inference pipelines with stringent latency requirements for customized tasks. To mitigate extensive request timeouts caused by accumulation, systems for…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-10 Zhixin Zhao , Yitao Hu , Simin Chen , Mingfang Ji , Wei Yang , Yuhao Zhang , Laiping Zhao , Wenxin Li , Xiulong Liu , Wenyu Qu , Hao Wang

With the emergence of Non-Volatile Memories (NVMs) and their shortcomings such as limited endurance and high power consumption in write requests, several studies have suggested hybrid memory architecture employing both Dynamic Random Access…

Operating Systems · Computer Science 2018-05-08 Reza Salkhordeh , Hossein Asadi

Crossbar arrays using emerging non-volatile memory technologies such as Resistive RAM (ReRAM) offer high density, fast access speed and low-power. However the bandwidth of the crossbar is limited to single-bit read/write per access to avoid…

Emerging Technologies · Computer Science 2016-06-03 Mohammad Nasim Imtiaz Khan , Swaroop Ghosh , Radha Krishna Aluru , Rashmi Jha

As dynamic random access memory (DRAM) and other current transistor-based memories approach their scalability limits, the search for alternative storage methods becomes increasingly urgent. Phase-change memory (PCM) emerges as a promising…

Hardware Architecture · Computer Science 2025-11-10 Mahek Desai , Rowena Quinn , Marjan Asadinia

Modern DRAM modules are often equipped with hardware error correction capabilities, especially for DRAM deployed in large-scale data centers, as process technology scaling has increased the susceptibility of these devices to errors. To…

Hardware Architecture · Computer Science 2017-06-29 Yixin Luo , Saugata Ghose , Tianshi Li , Sriram Govindan , Bikash Sharma , Bryan Kelly , Amirali Boroumand , Onur Mutlu

Memory caches are being aggressively used in today's data-parallel frameworks such as Spark, Tez and Storm. By caching input and intermediate data in memory, compute tasks can witness speedup by orders of magnitude. To maximize the chance…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-08-29 Yinghao Yu , Wei Wang , Jun Zhang , Khaled B. Letaief

This paper summarizes the idea of ChargeCache, which was published in HPCA 2016 [51], and examines the work's significance and future potential. DRAM latency continues to be a critical bottleneck for system performance. In this work, we…

Hardware Architecture · Computer Science 2018-05-11 Hasan Hassan , Gennady Pekhimenko , Nandita Vijaykumar , Vivek Seshadri , Donghyuk Lee , Oguz Ergin , Onur Mutlu

With lowering thresholds, transparently defending against Rowhammer within DRAM is challenging due to the lack of time to perform mitigation. Commercially deployed in-DRAM defenses like TRR that steal time from normal refreshes~(REF) to…

Cryptography and Security · Computer Science 2025-01-14 Hritvik Taneja , Moinuddin Qureshi

Persistent memory provides high-performance data persistence at main memory. Memory writes need to be performed in strict order to satisfy storage consistency requirements and enable correct recovery from system crashes. Unfortunately,…

Hardware Architecture · Computer Science 2017-05-11 Youyou Lu , Jiwu Shu , Long Sun , Onur Mutlu

The growing demand for efficient cloud storage solutions has led to the widespread adoption of Solid-State Drives (SSDs) for caching in cloud block storage systems. The management of data writes to SSD caches plays a crucial role in…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-30 Chiyu Cheng , Chang Zhou , Yang Zhao , Jin Cao

Resistive memories have limited lifetime caused by limited write endurance and highly non-uniform write access patterns. Two main techniques to mitigate endurance-related memory failures are 1) wear-leveling, to evenly distribute the writes…

Hardware Architecture · Computer Science 2020-10-07 Leonid Yavits , Lois Orosa , Suyash Mahar , João Dinis Ferreira , Mattan Erez , Ran Ginosar , Onur Mutlu

Read disturbance in modern DRAM chips is a widespread phenomenon and is reliably used for breaking memory isolation, a fundamental building block for building robust systems. RowHammer and RowPress are two examples of read disturbance in…

Byte-addressable non-volatile main memory (NVM) demands transactional mechanisms to access and manipulate data on NVM atomically. Those transaction mechanisms often employ a logging mechanism (undo logging or redo logging). However, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-04-19 Kai Wu , Jie Ren , Dong Li

Modern DRAM chips are subject to read disturbance errors. State-of-the-art read disturbance mitigations rely on accurate and exhaustive characterization of the read disturbance threshold (RDT) (e.g., the number of aggressor row activations…