Results 31 to 40 of about 115,019,574 (294)

Optimizing memory in reservoir computers [PDF]

open access: yesChaos: An Interdisciplinary Journal of Nonlinear Science, 2022
A reservoir computer is a way of using a high dimensional dynamical system for computation. One way to construct a reservoir computer is by connecting a set of nonlinear nodes into a network. Because the network creates feedback between nodes, the reservoir computer has memory.
openaire   +4 more sources

Should we worry about memory loss? [PDF]

open access: yes, 2010
In recent years the High Performance Computing (HPC) industry has benefited from the development of higher density multi-core processors. With recent chips capable of executing up to 32 tasks in parallel, this rate of growth also shows no sign of slowing.
S. D. Hammond   +7 more
core   +1 more source

Mammoth : gearing Hadoop towards memory-intensive MapReduce applications [PDF]

open access: yes, 2015
The MapReduce platform has been widely used for large-scale data processing and analysis recently. It works well if the hardware of a cluster is well configured.
Hai Jin   +15 more
core   +1 more source

Memristive devices for computation-in-memory [PDF]

open access: yes2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018
CMOS technology and its continuous scaling have made electronics and computers accessible and affordable for almost everyone on the globe; in addition, they have enabled the solutions of a wide range of societal problems and applications. Today, however, both the technology and the computer architectures are facing severe challenges/walls making them ...
Jintao Yu   +4 more
openaire   +4 more sources

Benchmarking In-Memory Computing Architectures

open access: yesIEEE Open Journal of the Solid-State Circuits Society, 2022
In-memory computing (IMC) architectures have emerged as a compelling platform to implement energy-efficient machine learning (ML) systems. However, today, the energy efficiency gains provided by IMC designs seem to be leveling off and it is not clear ...
Naresh R. Shanbhag, Saion K. Roy
doaj   +1 more source

Memory-Centric Computing

open access: yesCoRR, 2023
Memory-centric computing aims to enable computation capability in and near all places where data is generated and stored. As such, it can greatly reduce the large negative performance and energy impact of data access and data movement, by fundamentally avoiding data movement and reducing data access latency & energy.
openaire   +3 more sources

Fast and Reconfigurable Logic Synthesis in Memristor Crossbar Array

open access: yesAdvanced Intelligent Systems, 2022
Memristor is a potential basic unit for the in‐memory computing system, which is an approach to break the memory wall of the traditional computer. However, low switching speed, nonuniform device characteristics, and inefficient logic synthesis hinder the
Wei Wang   +11 more
doaj   +1 more source

Distributed In-Memory Computing on Binary RRAM Crossbar

open access: yes, 2017
The recently emerging resistive random-access memory (RRAM) can provide nonvolatile memory storage but also intrinsic computing for matrix-vector multiplication, which is ideal for the low-power and high-throughput data analytics accelerator performed in
Hao Yu   +9 more
core   +1 more source

Memory-Centric Computing: Solving Computing’s Memory Problem

open access: yes2025 IEEE International Memory Workshop (IMW)
Extended version of an IMW 2025 Invited ...
Onur Mutlu   +2 more
openaire   +3 more sources

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