The dramatic rise of data‐intensive workloads has revived application‐specific
computational hardware for continuing speed and power improvements, frequently achieved …

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With technology scaling, on-chip power dissipation and off-chip memory bandwidth have
become significant performance bottlenecks in virtually all computer systems, from mobile …

Associative processing (AP) is a promising PIM paradigm that overcomes the von Neumann
bottleneck (memory wall) by virtue of a radically different execution model. By decomposing …

GP-SIMD, a novel hybrid general-purpose SIMD computer architecture, resolves the issue of
data synchronization by in-memory computing through combining data storage and …

This study presents a computer architecture, where a last-level cache and a SIMD
accelerator are replaced by an associative processor. Associative processor combines data …

Processing-in-memory (PIM) architectures attempt to overcome the von Neumann bottleneck
by combining computation and storage logic into a single component. The content …

In this paper we propose a natural straight forward implementation of Dijkstra's shortest path
algorithm on a model of associative parallel processors of the SIMD type with bit-serial (or …

In this paper, we propose a DFT method for RTL data paths to achieve 100% fault efficiency.
The DFT method is based on hierarchical test and usage of a combinational ATPG tool. The …

US8504374B2 - Method for recognizing and interpreting patterns in noisy data sequences -
Google Patents US8504374B2 - Method for recognizing and interpreting patterns in noisy data …