Hardware neural network (HNN) based on analog synapse array excels in accelerating parallel computations. To implement an energy-efficient HNN with high accuracy, high-precision synaptic devices and ...

Run the tasks array of functions in parallel, without waiting until the previous function has completed. If any of the functions pass an error to its callback, the ...

Scientists today are able to generate data at unprecedented scale and rate. For example the Large Synaptic Survey Telescope (LSST) announced that they will be producing approximately 30 TB of data per ...

ArticleMay 22, 2008 Parallel Array of Pt/Polyoxometalates Composite Nanotubes with Stepwise Inside Diameter Control and Its Application in Catalysis Zhuo Ma Qiang Liu Zhi-Min Cui Shao-Wei Bian Wei-Guo ...

Scarcely a lighting application exists that designers have not considered converting to solid-state lighting, especially as LEDs by leaps and bounds improve both the quantity and the quality of their ...

Parallel arrays are the primary means of specifying parallelism in ZPL. While the use of this data type has sequential semantics, the compiler will distribute parallel arrays for execution on parallel ...

Abstract: Large-scale microelectrode arrays offers enhanced spatiotemporal resolution in electrophysiology studies. In this paper, we discuss the design and performance of an electrochemical detector ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

In this assignment one has to develop an efficient implemention of the Parallel Sum Reduction operator that computes the sum of a large array of values in both OpenMP and OpenCL. A prime criterion in ...