Results 71 to 80 of about 2,053,524 (303)

DBEFT: A Dependency-Ratio Bundling Earliest Finish Time Algorithm for Heterogeneous Computing

open access: yesIEEE Access, 2019
Performance effective task scheduling algorithms are essential for taking advantage of the heterogeneous multi-processor in heterogeneous computing environments.
Tao Li   +6 more
doaj   +1 more source

Enhancement of GPU-accelerated smoothed particle hydrodynamics (SPH) method with dynamic parallelism

open access: yesResults in Engineering
An innovative GPU programming architecture leveraging CUDA Dynamic Parallelism (CDP) is introduced in this study, aiming to enhance the computational efficiency of Smoothed Particle Hydrodynamics (SPH) simulations.
Liwen Xue, Shenglong Gu, Songdong Shao
doaj   +1 more source

Response errors explain the failure of independent-channels models of perception of temporal order

open access: yesFrontiers in Psychology, 2012
Independent-channels models of perception of temporal order (also referred to as threshold models or perceptual latency models) have been ruled out because two formal properties of these models (monotonicity and parallelism) are not borne out by data ...
Miguel A García-Pérez   +1 more
doaj   +1 more source

Hierarchical incremental class learning with reduced pattern training [PDF]

open access: yes, 2006
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but closer examination reveals areas for potential improvement.
Guan, SU   +5 more
core   +1 more source

Re‐Thinking Electronic Circuit Design Through Emerging Reconfigurable Field Effect Transistors

open access: yesAdvanced Science, EarlyView.
Graphical illustration of reconfigurable field effect transistor (RFET) operation modes, including n‐type, p‐type, and ambipolar transport, as well as their areas of application discussed in this review: digital circuit design, analog circuit design, post‐Shannon computing, and sensing. ABSTRACT Reconfigurable field‐effect transistors, short RFETs, are
Jens Trommer   +19 more
wiley   +1 more source

Multi-Shape Task Placement Algorithm Based on Low Fragmentation Resource Management on 2D Heterogeneous Dynamic Partial Reconfigurable Devices

open access: yesIEEE Access, 2020
The Dynamic Partial Reconfiguration function of reconfigurable devices permits tasks to be performed simultaneously on a single device. Nevertheless, task placement and resource management problems emerge with the parallelism of reconfigurable devices ...
Tingyu Zhou   +4 more
doaj   +1 more source

Snapshot Spatiotemporal‐Spectral Imaging Enabled by Joint Photonic Encoding

open access: yesAdvanced Science, EarlyView.
Spectra4D enables snapshot spatiotemporal‐spectral imaging by combining high‐speed DMD temporal modulation with CMOS‐integrated Fabry‐Pérot spectral encoding. From a single 2D measurement, a dual‐mask‐guided reconstruction network recovers multiple time‐resolved hyperspectral frames, enabling high‐fidelity observation of rapidly evolving spatial ...
Chunyu Chen   +11 more
wiley   +1 more source

Task Parallelism and High-Performance Languages [PDF]

open access: yes, 1994
High-Performance Fortran as currently defined cannot be used to solve all programming problems. However, its focus on regular problems and data-parallel algorithms stems not from a belief that it is only these problems that matter, but rather from the ...
Ian Foster
core  

Highly Linear Perovskite Synapses for Neuromorphic Computing

open access: yesAdvanced Science, EarlyView.
Voltage spikes applied to an Au/ACI‐phase perovskite/ITO memristor emulate the ionic signaling of a biological synapse, generating a tunable postsynaptic current. The vertically aligned perovskite film confines iodide‐vacancy migration, enabling highly linear, and symmetric conductance updates with 100 states and 5.5 aJ per event. Such synapses sustain
Zhongwen Sun   +7 more
wiley   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels   +4 more
wiley   +1 more source

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