This SpMV-based technique involves only one sparse matrix and can utilize sparse computation efficiently, so as to greatly reduce memory costs ascribed to the matrix exponential. Moreover, the ...

In 1960, Andrey Kolmogorov posed a seemingly impossible challenge at a seminar at Moscow State University: could there be a ...

In 1960, a 23-year-old Soviet mathematician named Anatoly Karatsuba stunned the world of mathematics with a revolutionary ...

Block scaling for fp8 quantization matrix multiplication. Solution to GPU mode AMD challenge. Additionally, this repo includes codes for quantizing Pytorch bf16 matmul with fp8. - GitHub - luongth ...