NDS: N-Dimensional Storage
Yu-Chia Liu, Hung‐Wei Tseng · 2021
Demands for efficient computing among applications that use high-dimensional datasets have led to multi-dimensional computers—computers that leverage heterogeneous processors/accelerators offering various processing models to support multi-dimensional compute kernels. Yet the front-end for these processors/accelerators is inefficient, as memory/storage systems often expose only entrenched linear-space abstractions to an application, and they often ignore the benefits of modern memory/storage systems, such as support for multi-dimensionality through different types of parallel access.