Optimizing scoped and immortal memory management in real-time java [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The Real-Time Specification for Java (RTSJ) introduces a new memory management model which avoids interfering with the garbage collection process and ...
Hamza, Hamza
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Experimental demonstration of in-memory computing in a ferrofluid system [PDF]
, 2023 Magnetic fluids are excellent candidates for several important research fields including energy harvesting, biomedical applications, soft robotics, and exploration. However, notwithstanding relevant advancements such as shape reconfigurability, that have
Crepaldi, Marco +11 more
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Towards memory supporting personal information management tools [PDF]
, 2007 In this article we discuss re-retrieving personal information objects and relate the task to recovering from lapse(s) in memory. We propose that fundamentally it is lapses in memory that impede users from successfully re-finding the information they need.
Ruthven, Ian +2 more
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Computing in matrix groups without memory [PDF]
, 2013 Funding: UK Engineering and Physical Sciences Research Council award EP/K033956/1Memoryless computation is a novel means of computing any function of a set of registers by updating one register at a time while using no memory.
Maximilien Gadouleau +10 more
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Progress and Benchmark of Spiking Neuron Devices and Circuits
Advanced Intelligent Systems, 2021 The sustainability of ever more sophisticated artificial intelligence relies on the continual development of highly energy‐efficient and compact computing hardware that mimics the biological neural networks.
Fu-Xiang Liang +2 more
doaj +1 more source
Emerging 2D Ferroelectric Devices for In‐Sensor and In‐Memory Computing [PDF]
Advanced MaterialsJianbin Xu
exaly +2 more sources
Multistate resistive switching behaviors for neuromorphic computing in memristor
Materials Today Advances, 2021 Conventional Von Neumann computing systems encounter increasing challenges in the big-data era due to the constraints by the separated data storage and processing. Resistive random-access memory provides dual functionalities of data storage and computing
B. Sun +7 more
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Floating Gate Transistor‐Based Accurate Digital In‐Memory Computing for Deep Neural Networks
Advanced Intelligent Systems, 2022 To improve the computing speed and energy efficiency of deep neural network (DNN) applications, in‐memory computing with nonvolatile memory (NVM) is proposed to address the time‐consuming and energy‐hungry data shuttling issue.
Runze Han +9 more
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Time Domain Analog Neuromorphic Engine Based on High-Density Non-Volatile Memory in Single-Poly CMOS
IEEE Access, 2022 Increasing the energy efficiency of deep learning systems is critical for improving the cognitive capability of edge devices, often battery operated, as well as for data centers, constrained by the total power envelope.
Tommaso Rizzo +2 more
doaj +1 more source
Graphene Oxide-Based Memristive Logic-in-Memory Circuit Enabling Normally-Off Computing
Nanomaterials, 2023 Memristive logic-in-memory circuits can provide energy- and cost-efficient computing, which is essential for artificial intelligence-based applications in the coming Internet-of-things era.
Yeongkwon Kim +2 more
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