This paper presents the optimized design and implementation of sparse tensor-times-dense matrix multiply (SpTTM) for CPU and GPU platforms.

Abstract—This paper presents the optimized design and imple- mentation of sparse tensor-times-dense matrix multiply (SpTTM) for CPU and GPU platforms.

Abstract—This paper presents the optimized design and imple- mentation of sparse tensor-times-dense matrix multiply (SpTTM) for CPU and GPU platforms.

This paper presents the optimized design and implementation of sparse tensor-times-dense matrix multiply (SpTTM) for CPU and GPU platforms.

This paper presents the optimized design and implementation of sparse tensor-times-dense matrix multiply (SpTTM) for CPU and GPU platforms.

The optimized design and implementation of sparse tensor-times-dense matrix multiply (SpTTM) for CPU and GPU platforms is presented, which is a critical ...

Sparse tensor-times-dense matrix multiplication is a critical bottleneck in data analysis and mining applications, and [32] proposed an efficient primitive on ...

Bibliographic details on Optimizing Sparse Tensor Times Matrix on Multi-core and Many-Core Architectures.

Jun 25, 2018 · This work optimizes tensor-times-dense matrix multiply (Ttm) for general sparse and semi-sparse tensors on CPU and NVIDIA GPU platforms.

This work optimizes tensor-times-dense matrix multiply (Ttm) for general sparse and semi-sparse tensors on CPU and NVIDIA GPU platforms.