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Many modern workloads such as neural network inference and graph processing are fundamentally memory-bound. For such workloads, data movement between memory and CPU cores imposes a significant overhead in terms of both latency and energy. A…

Hardware Architecture · Computer Science 2023-04-04 Juan Gómez-Luna , Izzat El Hajj , Ivan Fernandez , Christina Giannoula , Geraldo F. Oliveira , Onur Mutlu

Modern computing systems are embracing hybrid memory comprising of DRAM and non-volatile memory (NVM) to combine the best properties of both memory technologies, achieving low latency, high reliability, and high density. A prominent…

Hardware Architecture · Computer Science 2020-05-12 Shihao Song , Anup Das , Nagarajan Kandasamy

The emergence of Phase-Change Memory (PCM) provides opportunities for directly connecting persistent memory to main memory bus. While PCM achieves high read throughput and low standby power, the critical concerns are its poor write…

Hardware Architecture · Computer Science 2020-07-28 Yinjin Fu

Poor DRAM technology scaling over the course of many years has caused DRAM-based main memory to increasingly become a larger system bottleneck. A major reason for the bottleneck is that data stored within DRAM must be moved across a…

Hardware Architecture · Computer Science 2018-02-02 Saugata Ghose , Kevin Hsieh , Amirali Boroumand , Rachata Ausavarungnirun , Onur Mutlu

Persistent Memory (PM) is non-volatile byte-addressable memory that offers read and write latencies in the order of magnitude smaller than flash storage, such as SSDs. This survey discusses how file systems address the most prominent…

Operating Systems · Computer Science 2023-10-05 Wiebe van Breukelen , Animesh Trivedi

Tiered memory systems consisting of fast small memory and slow large memory have emerged to provide high capacity memory in a cost-effective way. The effectiveness of tiered memory systems relies on how many memory accesses can be absorbed…

Operating Systems · Computer Science 2025-05-15 Hyungjun Cho , Igjae Kim , Kwanghoon Choi , Hongjin Kim , Wonjae Lee , Junhyeok Im , Jinin So , Jaehyuk Huh

Byte-addressable persistent memories (PM) has finally made their way into production. An important and pressing problem that follows is how to deploy them in existing datacenters. One viable approach is to attach PM as self-contained…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-08 Shin-Yeh Tsai , Yiying Zhang

For the last thirty years, a large variety of memory allocators have been proposed. Since performance, memory usage and energy consumption of each memory allocator differs, software engineers often face difficult choices in selecting the…

Operating Systems · Computer Science 2024-06-25 José L. Risco-Martín , J. Manuel Colmenar , David Atienza , J. Ignacio Hidalgo

Due to amount of data involved in emerging deep learning and big data applications, operations related to data movement have quickly become the bottleneck. Data-centric computing (DCC), as enabled by processing-in-memory (PIM) and…

Hardware Architecture · Computer Science 2020-09-22 Kamil Khan , Sudeep Pasricha , Ryan Gary Kim

Intel Optane DC Persistent Memory (Optane PMM) is a new kind of byte-addressable memory with higher density and lower cost than DRAM. This enables the design of affordable systems that support up to 6TB of randomly accessible memory. In…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-25 Gurbinder Gill , Roshan Dathathri , Loc Hoang , Ramesh Peri , Keshav Pingali

Modern distributed file systems rely on uncoordinated, per node page caches that replicate hot data locally across the cluster. While ensuring fast local access, this architecture underutilizes aggregate cluster DRAM capacity through…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-22 Shai Bergman , Zhe Yang , Julien Eudine , Giorgio Negro , Onur Mutlu , Arash Tavakkol , Ji Zhang

Modern Artificial Intelligence (AI) applications are increasingly utilizing multi-tenant deep neural networks (DNNs), which lead to a significant rise in computing complexity and the need for computing parallelism. ReRAM-based…

Emerging Technologies · Computer Science 2024-08-12 Bojing Li , Duo Zhong , Xiang Chen , Chenchen Liu

Non-Volatile Main Memories (NVMMs) have recently emerged as promising technologies for future memory systems. Generally, NVMMs have many desirable properties such as high density, byte-addressability, non-volatility, low cost, and energy…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-12 Haikun Liu , Di Chen , Hai Jin , Xiaofei Liao , Bingsheng He , Kan Hu , Yu Zhang

Memory tiering provides a cost-effective solution to increase memory capacity, utilization, and even bandwidth. Memory tiering relies on system software for memory profiling, detection of frequently accessed pages, and page migration. Such…

Operating Systems · Computer Science 2026-04-15 Xi Wang , Jie Liu , Shuangyan Yang , Jongryool Kim , Pengfei Su , Dong Li

Privacy-preserving computation techniques like homomorphic encryption (HE) and secure multi-party computation (SMPC) enhance data security by enabling processing on encrypted data. However, the significant computational and CPU-DRAM data…

Cryptography and Security · Computer Science 2024-09-26 Mpoki Mwaisela

The Intel Optane DC Persistent Memory (DCPM) is an attractive novel technology for building storage systems for data intensive HPC applications, as it provides lower cost per byte, low standby power and larger capacities than DRAM, with…

In the landscape of High-Performance Computing (HPC), the quest for efficient and scalable memory solutions remains paramount. The advent of Compute Express Link (CXL) introduces a promising avenue with its potential to function as a…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-22 Yehonatan Fridman , Suprasad Mutalik Desai , Navneet Singh , Thomas Willhalm , Gal Oren

Persistent Memory (PMEM), also known as Non-Volatile Memory (NVM), can deliver higher density and lower cost per bit when compared with DRAM. Its main drawback is that it is typically slower than DRAM. On the other hand, DRAM has…

Machine Learning · Computer Science 2022-11-07 Diego Moura , Vinicius Petrucci , Daniel Mosse

After nearly a decade of anticipation, scalable nonvolatile memory DIMMs are finally commercially available with the release of Intel's 3D XPoint DIMM. This new nonvolatile DIMM supports byte-granularity accesses with access times on the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-13 Jian Yang , Juno Kim , Morteza Hoseinzadeh , Joseph Izraelevitz , Steven Swanson

Multi-tiered large memory systems call for rethinking of memory profiling and migration because of the unique problems unseen in the traditional memory systems with smaller capacity and fewer tiers. We develop MTM, an…

Performance · Computer Science 2023-05-03 Jie Ren , Dong Xu , Ivy Peng , Junhee Ryu , Kwangsik Shin , Daewoo Kim , Dong Li