ovonic unified memory
Ovonic unified memory-a high-performance nonvolatile memory technology for stand-alonememory and embedded applications
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ABSTRACT Summary form only given. The development status of Ovonic Unified Memory (OUM), a phase-change non-volatile semiconductor memory technology for VLSI stand- alone memory and embedded applications, is discussed. Using 0.18 µm 3 V CMOS, cells
Reliability of ovonic unified memory
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Page 1. 1 Reliability of Ovonic Unified Memory Neal Mielke Intel Corporation Stephen Hudgens Ovonyx Inc Brian Johnson Intel Corporation Tyler Lowrey Ovonyx Inc Page 2. 2 Agenda • Introduction: OUM Memory • Reliability Capability • Degradation Mechanisms • Future work
Programming speed in ovonic unified memory
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ABSTRACT Ovonic Unified Memory (OUM) is based on materials in which the phase change (PC) occurs by the application of an electrical signal. In principle OUM devices should be able to replace all electrical memories including those with very strict limitation
Optimizing Hybrid Access Virtual Memory System using SCM/DRAM Unified Memory Management Unit
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In HPC systems, expectations for storage-class memory (SCM) are increasing in large-scale in- memory processing. While SCM can deliver higher capacity and lower standby power than DRAM, it is slower and the dynamic power is higher. Therefore, in order to realize high The introduction of unified memory and demand paging has simplified programming of graphics processing units (GPUs). It has also enabled oversubscribing the memory for a GPU. However, the overhead of page management makes page faults a performance
Adaptive Page Migration for Irregular Data-intensive Applications under GPU Memory Oversubscription
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Rami Melhem Department of Computer Science University of Pittsburgh melhem@cs.pitt.edu Abstract Unified Memory in heterogeneous systems serves a wide range of applications Keywords-page migration, pinning, memory management, CPU-GPU, Unified Memory Next, we compare the multi-GPU and the unified memory schemes In this case, CUDA offers two strategies to deal with this condition. The first is called unified memory and it creates a pool of managed memory , where each allocated
Computer Architecture for Big Data.
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The von Neumann architecture for stored- program computers, with its single or unified memory , sometimes referred to as the Princeton architecture, emerged in 1945 (von Neumann 1945; von Neumann et al. 1947) and went virtually unchallenged for decades
Revisiting hash join on graphics processors: a decade later
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Efficient data movement The unified memory feature allows the GPU driver to move the data between CPU and GPU without explicit memory copy instructions. Further, hardware support for page faults allows more efficient and fine-grained Unified memory
LGraph: a unified data model and api for productive open-source hardware design
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Key features of LGraph include a unified data model and API, a fast memory mapped library design, integration with third-party tools and hierarchical design traversal for third-party tools such as OpenTimer, Mockturtle and ABC Page 1. Comprehensive techniques of multi-GPU memory optimization for deep learning acceleration Abstract This paper presents a comprehensive suite of techniques for optimized memory management in multi-GPU systems to accelerate deep learning application execution
Unified Physics and the Entanglement Nexus of Awareness.
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polymers, such as deoxyribonucleic acid and microtubulin, are involved in the information processing of awareness, particularly memory , and are The entanglement nexus of spacetime, herein referred to as the unified spacememory network, emerges as a component of some
Integrating Video Retrieval and Moment Detection in a Unified Corpus for Video Question Answering.
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models. In this paper, we focus on integrating video retrieval and moment detection in a unified corpus. We further develop two models a self- attention convolutional network and a memory network for the tasks. Experimental
A Unified Framework for Speaker and Utterance Verification.
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off between the two. The unified framework is based on long short term memory network trained using both speaker and utterance information. We use Part I of RSR2015 database for the studies in this work. We show that theAbstract We report a novel nanocrystal-embedded-insulator (NEI) ferroelectric field-effect transistor (FeFET) with very thin unified -ferroelectric/dielectric (FE/DE) insulating layer, which is promising for low-voltage logic and non-volatile memory (NVM) applications
The Relationship between Working Memory Capacity and Insight Problem Solving
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Insight is part of convergent think- ing (CT) and is a reflection of creative thinking. In the past research, there has not been a unified conclusion on whether the working memory capacity will affect the solution of insight problem If selecting and representing a multipart object in memory as a unified item is effortful and nonmandatory, these details could be important when looking for an object benefit in memory performance with these types of objects
Umzi: Unified Multi-Zone Indexing for Large-Scale HTAP.
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indexing method to support evolving data across multiple zones in an HTAP system, provid- ing a consistent and unified indexing view Moreover, it fully exploits the storage hierarchy in a distributed cluster envi- ronment ( memory , SSD, and distributed shared storage) for index
On Memory Addressing
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DISS. ETH NO. 26619 On Memory Addressing A thesis submitted to attain the degree of DS ETH Z (Dr. sc DOI: 10.3929/ethz-b-000400029 Page 3. Abstract Operating systems manage and configure a machines physical resources such as memory and translation hardware
Xilinx First 7nm Device: Versal AI Core (VC1902).
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6 Page 7. Copyright 2019 Xilinx Memory Subsystem and IO Unified Memory Subsystem Unified memory subsystem, but can be customized Transaction reordering QoS for multiple traffic types Parallel IOs 644x high performance XPIOs for DDR, MIPI 2 1 3 A Task-Aware Fine-Grained Storage Selection Mechanism for In- Memory Big Data Computing Frameworks Bo analysis. However, existing in- memory computing frameworks usually use memory in an aggressive way. Memory
Accelerating the Cloud Scheme Within the Unified Model for CPU-GPU Based High-Performance Computing Systems
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Air Force Weather and ORNL Collaboration Met Office Unified Model (UM) Cloud AeroSol Interacting Microphysics (CASIM) Maximize the number of parallelization in GPU Minimize the amount of data transfer between CPU and GPU memory limit memory limit Page 19. 1919
German Post-Socialist Memory Culture
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Keywords: GDR, postsocialist transformation, Ostdeutsches Kuratorium von Verbänden, memory , political epistemology with former Stasi members and sympathizers about their personal biographies and the way in which they understand the GDR and unified Germany -SOFTWARE SALES SERVICE-https://www.engpaper.net--