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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…

硬件体系结构 · 计算机科学 2018-12-18 Justin Meza , Jing Li , Onur Mutlu

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…

密码学与安全 · 计算机科学 2019-02-12 Fan Yao , Guru Venkataramani

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)…

性能 · 计算机科学 2016-10-03 Gaoying Ju , Yongkun Li , Yinlong Xu , Jiqiang Chen , John C. S. Lui

In this prompt report, we present the basic performance evaluation of Intel Optane Data Center Persistent Memory Module (Optane DCPMM), which is the first commercially-available, byte-addressable non-volatile memory modules released in…

性能 · 计算机科学 2020-06-24 Takahiro Hirofuchi , Ryousei Takano

The design of the buffer manager in database management systems (DBMSs) is influenced by the performance characteristics of volatile memory (DRAM) and non-volatile storage (e.g., SSD). The key design assumptions have been that the data must…

数据库 · 计算机科学 2019-01-31 Joy Arulraj , Andy Pavlo , Krishna Teja Malladi

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…

分布式、并行与集群计算 · 计算机科学 2020-02-25 Gurbinder Gill , Roshan Dathathri , Loc Hoang , Ramesh Peri , Keshav Pingali

Non-volatile memory (NVM) based compute-in-memory (CIM) accelerators have emerged as a sustainable solution to significantly boost energy efficiency and minimize latency for Deep Neural Networks (DNNs) inference due to their in-situ data…

硬件体系结构 · 计算机科学 2025-08-19 Yifan Qin , Zheyu Yan , Wujie Wen , Xiaobo Sharon Hu , Yiyu Shi

The current mobile applications have rapidly growing memory footprints, posing a great challenge for memory system design. Insufficient DRAM main memory will incur frequent data swaps between memory and storage, a process that hurts…

硬件体系结构 · 计算机科学 2024-03-19 Fei Wen , Mian Qin , Paul Gratz , Narasimha Reddy

Non-volatile memory (NVM) technologies such as PCM, ReRAM and STT-RAM allow processors to directly write values to persistent storage at speeds that are significantly faster than previous durable media such as hard drives or SSDs. Many…

分布式、并行与集群计算 · 计算机科学 2017-09-11 Nachshon Cohen , Michal Friedman , James R. Larus

Modern enterprise servers are increasingly embracing tiered memory systems with a combination of low latency DRAMs and large capacity but high latency non-volatile main memories (NVMMs) such as Intel's Optane DC PMM. Prior works have…

分布式、并行与集群计算 · 计算机科学 2021-03-22 Sandeep Kumar , Aravinda Prasad , Smruti R. Sarangi , Sreenivas Subramoney

Emerging Non-Volatile Memories (NVMs) are promising contenders for building future memory systems. On the other side, unlike DRAM systems, NVMs can retain data even after power loss and thus enlarge the attack surface. While data encryption…

分布式、并行与集群计算 · 计算机科学 2018-10-24 Amro Awad , Laurent Njilla , Mao Ye

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…

分布式、并行与集群计算 · 计算机科学 2021-01-01 Pradeep Fernando , Irina Calciu , Jayneel Gandhi , Aasheesh Kolli , Ada Gavrilovska

Non-volatile memory (NVM) crossbars have been identified as a promising technology, for accelerating important machine learning operations, with matrix-vector multiplication being a key example. Binary neural networks (BNNs) are especially…

新兴技术 · 计算机科学 2023-08-14 Ruirong Huang , Zichao Yue , Caroline Huang , Janarbek Matai , Zhiru Zhang

In cloud and edge computing models, it is important that compute devices at the edge be as power efficient as possible. Long short-term memory (LSTM) neural networks have been widely used for natural language processing, time series…

神经与进化计算 · 计算机科学 2020-02-26 Wen Ma , Pi-Feng Chiu , Won Ho Choi , Minghai Qin , Daniel Bedau , Martin Lueker-Boden

The modern semiconductor industry requires memory solutions that can keep pace with the high-speed demands of high-performance computing. Embedded non-volatile memories (eNVMs) address these requirements by offering faster access to stored…

密码学与安全 · 计算机科学 2025-05-26 Zakia Tamanna Tisha , Ujjwal Guin

Phase-change memory (PCM) is a scalable and low latency non-volatile memory (NVM) technology that has been proposed to serve as storage class memory (SCM), providing low access latency similar to DRAM and often approaching or exceeding the…

硬件体系结构 · 计算机科学 2020-12-01 Shihao Song , Anup Das

The rapid growth of deep neural network (DNN) workloads has significantly increased the demand for large-capacity on-chip SRAM in machine learning (ML) applications, with SRAM arrays now occupying a substantial fraction of the total die…

硬件体系结构 · 计算机科学 2025-12-30 Subhradip Chakraborty , Ankur Singh , Xuming Chen , Gourav Datta , Akhilesh R. Jaiswal

Battery-less technology evolved to replace battery technology. Non-volatile memory (NVM) based processors were explored to store the program state during a power failure. The energy stored in a capacitor is used for a backup during a power…

硬件体系结构 · 计算机科学 2023-05-02 SatyaJaswanth Badri , Mukesh Saini , Neeraj Goel

In this paper, we present benchmark data for Intel Memory Drive Technology (IMDT), which is a new generation of Software-defined Memory (SDM) based on Intel ScaleMP collaboration and using 3D XPointTM based Intel Solid-State Drives (SSDs)…

Open-access neuroimaging datasets have reached petabyte scale, and continue to grow. The ability to leverage the entirety of these datasets is limited to a restricted number of labs with both the capacity and infrastructure to process the…

性能 · 计算机科学 2019-12-30 Valerie Hayot-Sasson , Shawn T Brown , Tristan Glatard