SHIRO: Optimizing Communication in Distributed Sparse Matrix Multiplication

This research focuses on improving the efficiency of distributed sparse matrix multiplication, a crucial operation in many AI and scientific computing applications. The paper likely proposes new communication strategies to minimize the overhead associated with data transfer between distributed compute nodes.

• •Addresses the communication bottleneck in distributed sparse matrix multiplication.
• •Proposes new strategies for data transfer to improve performance.
• •The research aims for near-optimal communication efficiency.