Yifan Sun

TL;DR: It is found that transistor scaling remains critical in keeping the laws valid, but architectural solutions have become increasingly important and will play a larger role in the future, and that GPUs consistently deliver higher performance than CPUs.

TL;DR: This work presents MGPUSim, a cycle-accurate, extensively validated, multi-GPU simulator, based on AMD's Graphics Core Next 3 (GCN3) instruction set architecture, and proposes the Locality API, an API extension that allows the GPU programmer to both avoid the complexity of multi- GPU programming, while precisely controlling data placement in the multi- GPUs memory.

TL;DR: In this paper, an analysis of 668 COVID-19 visualizations is presented to examine who, (uses) what data, (to communicate) what messages, in what form, under what circumstances in the context of crisis visualizations.

TL;DR: In this paper, the authors present a conceptual framework derived from their analysis, that examines who, (uses) what data, (to communicate) what messages, in what form, under what circumstances in the context of COVID-19 crisis visualizations.

TL;DR: This work profile and analyze the training of five popular DNNs using 1, 2, 4 and 8 GPUs, and shows the breakdown of the training time across the FP+ BP stage and the WU stage to provide insights about the limiting factors of theTraining algorithm as well as to identify the bottlenecks in the multi-GPU system architecture.