Real PIM systems can provide high levels of parallelism, large aggregate memory bandwidth and low memory access latency, thereby being a good fit to accelerate the widely-used, memory-bound Sparse ...

However, the traditional incoherent matrix-vector multiplication method focuses on real-valued operations and does not work well in complex-valued neural networks and discrete Fourier transforms.

Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...

Since a vector is essentially a contiguous array of real numbers, and the computer memory is a contiguous array of bytes, the mapping of the elements of a vector onto the C++ array and then to the ...

Institutions Time frame: 1 May 2024 - 30 April 2025 Institution search supports local language names. , Home Articles Complex-valued matrix-vector multiplication using a scalable coherent photonic ...