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Optimizing memory in reservoir computers [PDF]
Chaos: 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.
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Should we worry about memory loss? [PDF]
, 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
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Memristive devices for computation-in-memory [PDF]
2018 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
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Manycore Network Interfaces for In-Memory Rack-Scale Computing [PDF]
, 2015 Datacenter operators rely on low-cost, high-density technologies to maximize throughput for data-intensive services with tight tail latencies. In-memory rack-scale computing is emerging as a promising paradigm in scale-out datacenters capitalizing on ...
Novakovic, Stanko +10 more
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Distributed In-Memory Computing on Binary RRAM Crossbar
, 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
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Benchmarking In-Memory Computing Architectures
IEEE 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
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Fast and Reconfigurable Logic Synthesis in Memristor Crossbar Array
Advanced 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
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Memory-Centric Computing: Solving Computing’s Memory Problem
2025 IEEE International Memory Workshop (IMW)Extended version of an IMW 2025 Invited ...
Onur Mutlu +2 more
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Approximate Memristive In-memory Computing
, 2017 The bottleneck between the processing elements and memory is the biggest issue contributing to the scalability problem in computing. In-memory computation is an alternative approach that combines memory and processor in the same location, and eliminates ...
Hasan Erdem Yantir +2 more
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Design of a SRAM memory controller and interface for in-memory computing applications [PDF]
, 2022 Recently, neural networks have gained much attention, due to their high effectiveness. Their operation principle is based on massively parallel calculations, which possess a challenge for classical computing architectures, based on the Von Neumann ...
Mazurkiewicz, Rafał
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