1. Introduction: Why MPI for Tensor Contractions? In MPS (Matrix Product State) algorithms like DMRG and CheMPS, the computational bottleneck is tensor contraction — multiplying tensors with 3-5 ...
When benchmarking GPU kernels like Mgemm_mxfp8 or _Mgemm inside a MoE (Mixture-of-Experts) forward pass, you need realistic input tensors. Running the full model just to feed a single kernel is ...
Google’s in-house Tensor chips from the beginning have faced criticism for not offering solid performance. While they are excellent for everyday tasks, the performance gap is pretty significant when ...
For the past three years Nvidia has been making graphics chips that feature extra cores, beyond the normal ones used for shaders. Known as tensor cores, these mysterious units can be found in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results