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Related papers: Persistent Memory I/O Primitives

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Non-volatile memory (NVM) provides a scalable and power-efficient solution to replace DRAM as main memory. However, because of relatively high latency and low bandwidth of NVM, NVM is often paired with DRAM to build a heterogeneous memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-03 Kai Wu , Yingchao Huang , Dong Li

Phase-change memory (PCM) devices have multiple banks to serve memory requests in parallel. Unfortunately, if two requests go to the same bank, they have to be served one after another, leading to lower system performance. We observe that a…

Hardware Architecture · Computer Science 2019-08-22 Shihao Song , Anup Das , Onur Mutlu , Nagarajan Kandasamy

Oblivious RAM (ORAM) hides the memory access patterns, enhancing data privacy by preventing attackers from discovering sensitive information based on the sequence of memory accesses. The performance of ORAM is often limited by its inherent…

Cryptography and Security · Computer Science 2024-11-11 Haojie Ye , Yuchen Xia , Yuhan Chen , Kuan-Yu Chen , Yichao Yuan , Shuwen Deng , Baris Kasikci , Trevor Mudge , Nishil Talati

Synchronous Mirroring (SM) is a standard approach to building highly-available and fault-tolerant enterprise storage systems. SM ensures strong data consistency by maintaining multiple exact data replicas and synchronously propagating every…

Write disturbance error (WDE) appears as a serious reliability problem preventing phase-change memory (PCM) from general commercialization, and therefore several studies have been proposed to mitigate WDEs. Verify-and-correction (VnC)…

Hardware Architecture · Computer Science 2022-08-10 Hyokeun Lee , Seungyong Lee , Byeongki Song , Moonsoo Kim , Seokbo Shim , Hyuk-Jae Lee , Hyun Kim

Modern machine learning training is increasingly bottlenecked by data I/O rather than compute. GPUs often sit idle at below 50% utilization waiting for data. This paper presents a machine learning approach to predict I/O performance and…

Performance · Computer Science 2025-12-22 Karthik Prabhakar , Durgamadhab Mishra

Continual demand for memory bandwidth has made it worthwhile for memory vendors to reassess processing in memory (PIM), which enables higher bandwidth by placing compute units in/near-memory. As such, memory vendors have recently proposed…

Hardware Architecture · Computer Science 2024-01-18 Johnathan Alsop , Shaizeen Aga , Mohamed Ibrahim , Mahzabeen Islam , Andrew Mccrabb , Nuwan Jayasena

Large language models (LLMs) are central to modern natural language processing, delivering exceptional performance in various tasks. However, their substantial computational and memory requirements present challenges, especially for devices…

Our goal in this dissertation is to provide tools, programming models, and system support for PIM architectures (with a focus on DRAM-based solutions), to ease the adoption of PIM in current and future systems. To this end, we make at least…

Hardware Architecture · Computer Science 2025-08-28 Geraldo F. Oliveira

Recent dual in-line memory modules (DIMMs) are starting to support processing-in-memory (PIM) by associating their memory banks with processing elements (PEs), allowing applications to overcome the data movement bottleneck by offloading…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-16 Si Ung Noh , Junguk Hong , Chaemin Lim , Seongyeon Park , Jeehyun Kim , Hanjun Kim , Youngsok Kim , Jinho Lee

While non-volatile memories (NVMs) provide several desirable characteristics like better density and comparable energy efficiency than DRAM, DRAM-like performance, and disk-like durability, the limited endurance NVMs manifest remains a…

Hardware Architecture · Computer Science 2023-04-20 Yi Zheng , Aasheesh Kolli , Shaizeen Aga

Emerging non-volatile memory (NVM) technologies promise memory speed byte-addressable persistent storage with a load/store interface. However, programming applications to directly manipulate NVM data is complex and error-prone. Applications…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-01 Pradeep Fernando , Irina Calciu , Jayneel Gandhi , Aasheesh Kolli , Ada Gavrilovska

Traditional memory management suffers from metadata overhead, architectural complexity, and stability degradation, problems intensified in cloud environments. Existing software/hardware optimizations are insufficient for cloud computing's…

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-memory database query processing frequently involves substantial data transfers between the CPU and memory, leading to inefficiencies due to Von Neumann bottleneck. Processing-in-Memory (PIM) architectures offer a viable solution to…

The performance of today's in-memory indexes is bottlenecked by the memory latency/bandwidth wall. Processing-in-memory (PIM) is an emerging approach that potentially mitigates this bottleneck, by enabling low-latency memory access whose…

For over a decade, explicit memory architectures like the Neural Turing Machine have remained theoretically appealing yet practically intractable for language modeling due to catastrophic gradient instability during Backpropagation Through…

Machine Learning · Computer Science 2026-05-14 Sungwoo Goo , Hwi-yeol Yun , Sangkeun Jung

Non-volatile memory (NVM) is a promising technology for low-energy and high-capacity main memory of computers. The characteristics of NVM devices, however, tend to be fundamentally different from those of DRAM (i.e., the memory device…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-08 Atsushi Koshiba , Takahiro Hirofuchi , Ryousei Takano , Mitaro Namiki

With emerging storage-class memory (SCM) nearing commercialization, there is evidence that it will deliver the much-anticipated high density and access latencies within only a few factors of DRAM. Nevertheless, the latency-sensitive nature…

Non-volatile main memory (NVMM) allows programmers to build complex, persistent, pointer-based data structures that can offer substantial performance gains over conventional approaches to managing persistent state. This programming model…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-07-26 Lu Zhang , Steven Swanson
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