Joel Hestness

TL;DR: A large scale empirical characterization of generalization error and model size growth as training sets grow is presented and it is shown that model size scales sublinearly with data size.

TL;DR: Gem5-gpu is a new simulator that models tightly integrated CPU-GPU systems, able to simulate many system configurations, ranging from a system with coherent caches and a single virtual address space across the CPU and GPU to a system that maintains separate GPU and CPU physical address spaces.

TL;DR: Systems and methods for creating and using Convolutional Recurrent Neural Networks for small-footprint keyword spotting (KWS) systems and a CRNN model embodiment demonstrated high accuracy and robust performance in a wide range of environments are described.

TL;DR: A new trace-based network simulation methodology is described that captures dependencies between network messages observed in full-system simulation of multithreaded applications and introduces Netrace, a library of tools and traces that enables targeted NOC simulators to track and replay network messages and their dependencies.