"Given the importance of the precise sparsity pattern, and even the actual matrix data, which decides the effective fill-in upon multiplication, the tests are performed within the CP2K package with ...

Second, we design various load balancing schemes across multiple PIM cores, and two types of data partitioning techniques to execute SpMV on thousands of PIM cores: (1) 1D-partitioned kernels to ...

And in most cases, these libraries ultimately call an optimized version of the Basic Linear Algebra Subroutine (BLAS) library DGEMM (Double-precision GEneral Matrix Multiplication). Developers have ...

Structured sparsity has emerged as a promising approach to streamline the complexity of modern Machine Learning (ML) applications and facilitate the handling of sparse data in hardware. Accelerating ...