Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...

Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...

Abstract: Sparse matrix-matrix multiplication (SpMM) is a prevailing kernel in scientific and artificial intelligence applications. However, the irregular memory access behaviors caused by diverse ...

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 ...