Abstract: Sparse matrix-vector multiplication (SpMV) is a critical kernel in scientific computing and high-performance applications, yet it remains challenging to optimize due to irregular memory ...
Abstract: Architectures utilizing Resistive Random-Access Memory (RRAM) for In-Memory Computing (IMC) have exhibited considerable potential in enhancing the performance metrics of neural networks (NNs ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results