Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation

The author introduces the ALTO format as a novel approach to efficiently represent and process sparse tensors, enabling parallel execution and reducing memory overhead. By partitioning the multi-dimensional space into balanced line segments, ALTO ensures workload balance and efficient parallel performance.