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Emerging non-volatile memory technologies (NVRAM) offer alternatives to hard drives that are persistent, while providing similar latencies to DRAM. Intel recently released the Optane drive, which features 3D XPoint memory technology. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-26 Pradeep Subedi , Philip E. Davis , J. J. Villalobos , Ivan Rodero , Manish Parashar

Scalable nonvolatile memory DIMMs will finally be commercially available with the release of the Intel Optane DC Persistent Memory Module (or just "Optane DC PMM"). This new nonvolatile DIMM supports byte-granularity accesses with access…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-13 Joseph Izraelevitz , Jian Yang , Lu Zhang , Juno Kim , Xiao Liu , Amirsaman Memaripour , Yun Joon Soh , Zixuan Wang , Yi Xu , Subramanya R. Dulloor , Jishen Zhao , Steven Swanson

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

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…

Byte-addressable non-volatile memory (NVM) features high density, DRAM comparable performance, and persistence. These characteristics position NVM as a promising new tier in the memory hierarchy. Nevertheless, NVM has asymmetric read and…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-18 Ivy B. Peng , Maya B. Gokhale , Eric W. Green

High performance computing (HPC) applications have a high requirement on storage speed and capacity. Non-volatile memory is a promising technology to replace traditional storage devices to improve HPC performance. Earlier in 2017, Intel and…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-15 Kai Wu , Frank Ober , Shari Hamlin , Dong Li

Many high end and next generation computing systems to incorporated alternative memory technologies to meet performance goals. Since these technologies present distinct advantages and tradeoffs compared to conventional DDR* SDRAM, such as…

Performance · Computer Science 2021-10-06 M. Ben Olson , Brandon Kammerdiener , Kshitij A. Doshi , Terry Jones , Michael R. Jantz

Non-volatile memory (NVM) is an emerging technology, which has the persistence characteristics of large capacity storage devices(e.g., HDDs and SSDs), while providing the low access latency and byte-addressablity of traditional DRAM memory.…

Databases · Computer Science 2020-05-18 Yinjun Wu , Kwanghyun Park , Rathijit Sen , Brian Kroth , Jaeyoung Do

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

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…

Performance · Computer Science 2020-06-24 Takahiro Hirofuchi , Ryousei Takano

As the High Performance Computing world moves towards the Exa-Scale era, huge amounts of data should be analyzed, manipulated and stored. In the traditional storage/memory hierarchy, each compute node retains its data objects in its local…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-07 Yehonatan Fridman , Yaniv Snir , Matan Rusanovsky , Kfir Zvi , Harel Levin , Danny Hendler , Hagit Attiya , Gal Oren

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…

Performance · Computer Science 2019-12-30 Valerie Hayot-Sasson , Shawn T Brown , Tristan Glatard

Scalable persistent memory (PM) has opened up new opportunities for building indexes that operate and persist data directly on the memory bus, potentially enabling instant recovery, low latency and high throughput. When real PM hardware…

Databases · Computer Science 2022-07-29 Yuliang He , Duo Lu , Kaisong Huang , Tianzheng Wang

As deep neural network (DNN) models are growing exponentially in size, their deployment on resource-constrained edge platforms is becoming increasingly challenging. In-memory-computing (IMC) with non-volatile memories (NVMs) has emerged as…

Emerging Technologies · Computer Science 2026-04-07 Imtiaz Ahmed , Sumeet Kumar Gupta

Embedded machine learning (ML) systems have now become the dominant platform for deploying ML serving tasks and are projected to become of equal importance for training ML models. With this comes the challenge of overall efficient…

Hardware Architecture · Computer Science 2022-06-29 Ahmet Inci , Mehmet Meric Isgenc , Diana Marculescu

This report describes 1) how we use Intel's Optane DCPMM in the memory Mode. We investigate the the scalability of applications on a single Optane machine, using Subgraph counting as memory-intensive graph problem. We test with various…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-24 Ahmet Uyar , Selahattin Akkas , Jiayu Li , Judy Fox

Emerging hybrid memory systems that comprise technologies such as Intel's Optane DC Persistent Memory, exhibit disparities in the access speeds and capacity ratios of their heterogeneous memory components. This breaks many assumptions and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-19 Thaleia Dimitra Doudali , Daniel Zahka , Ada Gavrilovska

Digital In-memory computing improves energy efficiency and throughput of a data-intensive process, which incur memory thrashing and, resulting multiple same memory accesses in a von Neumann architecture. Digital in-memory computing involves…

Hardware Architecture · Computer Science 2021-08-11 Veerendra S Devaraddi , Joycee M. Mekie

Hybrid memory systems, comprised of emerging non-volatile memory (NVM) and DRAM, have been proposed to address the growing memory demand of applications. Emerging NVM technologies, such as phase-change memories (PCM), memristor, and 3D…

Hardware Architecture · Computer Science 2024-03-19 Fei Wen , Mian Qin , Paul V. Gratz , A. L. Narasimha Reddy

In recent years, memory wall has been a great performance bottleneck of computer system. To overcome it, Non-Volatile Main Memory (NVMM) technology has been discussed widely to provide a much larger main memory capacity. Last year, Intel…

Hardware Architecture · Computer Science 2020-10-01 Tianyue Lu , Haiyang Pan , Mingyu Chen
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