Abstract: Exploiting the numeric symmetry in sparse matrices to reduce their memory footprint is very tempting for optimizing the memory-bound Sparse Matrix-Vector Multiplication (SpMV) kernel.

Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...

New silicon designs apply AI to processing and enhancing digital audio. Cadence has new IP to simplify the work.

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime time.

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...

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Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...

Institut de Química Computacional, Universitat de Girona, Girona (Spain) and Ronin Institute, Montclair, NJ, USA. An in-depth description of an apparently forgotten matrix operation, the reversal ...