Results 21 to 30 of about 115,019,574 (294)
Memory devices and applications for in-memory computing [PDF]
Nature Nanotechnology, 2020 Traditional von Neumann computing systems involve separate processing and memory units. However, data movement is costly in terms of time and energy and this problem is aggravated by the recent explosive growth in highly data-centric applications related to artificial intelligence. This calls for a radical departure from the traditional systems and one
Abu Sebastian +3 more
openaire +2 more sources
Architecture of Computing System based on Chiplet
Micromachines, 2022 Computing systems are widely used in medical diagnosis, climate prediction, autonomous vehicles, etc. As the key part of electronics, the performance of computing systems is crucial in the intellectualization of the equipment.
Guangbao Shan +5 more
doaj +1 more source
An Efficient and Robust Partial Differential Equation Solver by Flash-Based Computing in Memory
Micromachines, 2023 Flash memory-based computing-in-memory (CIM) architectures have gained popularity due to their remarkable performance in various computation tasks of data processing, including machine learning, neuron networks, and scientific calculations. Especially in
Yueran Qi +10 more
doaj +1 more source
Recent Advances in In-Memory Computing: Exploring Memristor and Memtransistor Arrays with 2D Materials [PDF]
Nano-Micro LettersYong-Wei Zhang +2 more
exaly +2 more sources
A grid computing framework for commercial simulation packages [PDF]
, 2007 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.An increased need for collaborative research among different organizations, together with continuing advances in communication technology and computer ...
Mustafee, Navonil
core +7 more sources
Mapping Computation with No Memory [PDF]
, 2009 We investigate the computation of mappings from a set $S^n$ to itself with ''in situ programs'', that is using no extra variables than the input, and performing modifications of one component at a time. We consider several types of mappings and obtain effective computation and decomposition methods, together with upper bounds on the program length ...
Burckel, Serge +2 more
openaire +3 more sources
Augmenting human memory using personal lifelogs [PDF]
, 2010 Memory is a key human facility to support life activities, including social interactions, life management and problem solving. Unfortunately, our memory is not perfect.
Chen, Yi +3 more
core +2 more sources
Memory-Efficient Fixpoint Computation [PDF]
Formal Methods in System Design, 2020 Abstract Practical adoption of static analysis often requires trading precision for performance. This paper focuses on improving the memory efficiency of abstract interpretation without sacrificing precision or time efficiency. Computationally, abstract interpretation reduces the problem of inferring program invariants to computing a fixpoint
Sung Kook Kim +2 more
openaire +3 more sources
Multifunctional computing-in-memory SRAM cells based on two-surface-channel MoS2 transistors
iScience, 2021 Summary: Driven by technologies such as machine learning, artificial intelligence, and internet of things, the energy efficiency and throughput limitations of the von Neumann architecture are becoming more and more serious.
Fan Wang +7 more
doaj +1 more source
An Integrated Photorefractive Analog Matrix-Vector Multiplier for Machine Learning
Applied Sciences, 2022 AI is fueling explosive growth in compute demand that traditional digital chip architectures cannot keep up with. Analog crossbar arrays enable power efficient synaptic signal processing with linear scaling on neural network size.
Elger A. Vlieg +4 more
doaj +1 more source