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A novel caching algorithm for Compute Unified Device Architecture (CUDA) shared memory is proposed and implemented.
At the end we present a conceptual approach that can be exist between ontology and project memory is proposed.
A readout circuit with slew rate compensation for nano-scaled SRAMs (Static Random-Access Memory) is proposed in this study.
In this article, first a different image mapping in the memory is proposed.
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A new 3-D stacked NAND flash memory was proposed and key characteristics of the memory were investigated using extensive device simulation.
In the last several years, for the study of stabilization of time-delay systems, both controllers with or without memory were proposed; see [31 34].
A suited flexible and general memory was proposed in Röhrbein et al.
A scheme of this sort for memory storage was proposed by David Marr[45] as a simple memory system, which he identified with archicortex in general and hippocampus in particular.
The scratchpad memories were proposed in streaming applications for multimedia processors like Imagine [22] and IBM Cell Processor [23] and later adopted by SODA to handle the streaming data between the algorithms.
In the SAMOHS algorithm, a modified self-adaptive bandwidth is employed, moreover, the self-adaptive parameter setting based on variation of harmony memory variance is proposed for harmony memory considering rate (HMCR) and pitch adjusting rate (PAR).
Memory formation is proposed to be a dual process that involves the simultaneous memorisation of both detailed information (item-specific memory) and gist information (gist memory).
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