Abstract: Sparse-sparse matrix multiplication (SpGEMM) is a well-studied problem on CPUs, GPUs, accelerators (e.g. FPGAs), and distributed systems. The main computational bottleneck in SpGEMM is the ...

Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by ...

Abstract: Sparse general matrix-matrix multiplication is widely used in data mining applications. Its irregular memory access patterns limit the performance of general-purpose processors, thus ...

For anyone planning to buy a car, one question always comes up - automatic or manual? It may sound like a technical decision, but it directly affects your daily driving comfort. In today’s ...