While processor speeds and memory storage capacities have surged in recent decades, overall computer performance remains constrained by data transfers, where the CPU must retrieve and process data ...

The double whammy of too much power and low performance means that the near-memory approach is “too hot” for our chip architect Goldi. At-memory: Is just right Just as the children’s Goldilocks fable ...

As pipeline width and depth grow to improve performance, memory arrays in microprocessors are growing in entries and ports. Arrays will increase in physical size, which prolongs the access time due to ...

A location-aware multi-antenna coded caching scheme is proposed for applications with location-dependent data requests, such as wireless immersive experience, where users are immersed in a ...

If an API dealing with such buffers is exposed into Python user code, the Python side is now responsible for providing a suitably aligned memory buffer. However, there is no way of properly specifying ...

A simple Python API is available through TensorStore to load and work with massive arrays of data. Arbitrarily huge underlying datasets can be loaded and manipulated without storing the entire dataset ...