Abstract: In modern machine learning models like Transformers, matrix multiplication dominates most computation. Specific hardware often uses large-scale PE arrays, such as systolic arrays, to ...
When piloted, initiative that provided €325 a week to eligible artists recouped more than its net cost, study shows Ireland is creating a scheme that will give artists a weekly income in the hope of ...
Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results