In the last few years a number of start-up companies have announced massively parallel processors for embedded DSP applications. With their arrays of processing elements, these processors target ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

AI and machine-learning techniques have become a major focus of everything from cloud computing services to cell phone manufacturers. Unfortunately, our existing processors are a bad match for the ...

Time is money in electronics, as in other industries, and the more time that is invested in testing chips means more costs being added to the product in question. To speed up testing for memory ...

In-design verification is needed to shorten design cycles and maximize circuit performance, ensuring physical designs are correct by construction. Physical verification often forces a decision between ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

The current standard methodology in forensic DNA typing relies on amplification of short tandem repeat (STR) markers by the polymerase chain reaction (PCR) and allele sizes (i.e., length-based) ...