Abstract: Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, and robotics. While DNNs deliver state ...
Abstract: Data movement overheads caused by the recent explosion in big data applications have made traditional von Neumann architecture fails to tackle big data workloads. Processing in Memory (PIM), ...
This repository contains source code and data for the Apache Arrow workshop run as part of the 2022 UseR! Conference. You can fork and download this repository from ...
One of the most famous performance models used in HPC is the Roofline model. During courses I was asked often how to derive empirical Roofline models with LIKWID. An empirical Roofline model presents ...
Each week, co-hosts Ester Golden and Larry Brechner interview a variety of guests, exploring individual artistic practice, upcoming events and exhibitions, and the arts organizations that serve our ...
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