Techniques in advanced deep learning provide improvements in one or more of accuracy,
performance, energy efficiency, and cost. In a first embodiment, a scaled array of processing …

Techniques in advanced deep learning provide improvements in one or more of cost,
accuracy, performance, and energy efficiency. The deep learning accelerator is …

This disclosure describes methods and systems for high-throughput computations in a fully-
connected deep neural network. Specifically, a hardware-based deep neural network …

Techniques in advanced deep learning provide improvements in one or more of accuracy,
performance, and energy efficiency. An array of processing elements performs flow-based …

Techniques in advanced deep learning provide improvements in one or more of accuracy,
performance, and energy efficiency. An array of processing elements performs flow-based …

Techniques in advanced deep learning provide improvements in one or more of accuracy,
performance, and energy efficiency. An array of processing elements performs flow-based …

Techniques in advanced deep learning provide improvements in one or more of accuracy,
performance, and energy efficiency. An array of processing elements comprising a portion of …

The embodiments herein describe hybrid parallelism techniques where a mix of data and
model parallelism techniques are used to split the workload of a layer across an array of …

Techniques in advanced deep learning provide improvements in one or more of accuracy,
performance, and energy efficiency. An array of compute elements and routers performs flow …

(57) APSTRACT Embodiments of a device include an integrated circuit, a reconfigurable
stream switch formed in the integrated circuit, and an arithmetic unit coupled to the …