Harmony: Overcoming the hurdles of gpu memory capacity to train massive dnn models on commodity servers

Y Li, A Phanishayee, D Murray, J Tarnawski… - arXiv preprint arXiv …, 2022 - arxiv.org
Deep neural networks (DNNs) have grown exponentially in size over the past decade,
leaving only those who have massive datacenter-based resources with the ability to develop …
被引用次数：18 相关文章

Harmony: overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers

Y Li, A Phanishayee, D Murray, J Tarnawski… - Proceedings of the …, 2022 - dl.acm.org
Deep neural networks (DNNs) have grown exponentially in size over the past decade,
leaving only those who have massive datacenter-based resources with the ability to develop …
[PDF] vldb.org

[PDF][PDF] Harmony: Overcoming the Hurdles of GPU Memory Capacity to Train Massive DNN Models on Commodity Servers

Y Li, A Phanishayee, D Murray, J Tarnawski, NS Kim - vldb.org
Deep neural networks (DNNs) have grown exponentially in size over the past decade,
leaving only those who have massive datacenterbased resources with the ability to develop …
[PDF] vldb.org

[PDF][PDF] Harmony: Overcoming the Hurdles of GPU Memory Capacity to Train Massive DNN Models on Commodity Servers

Y Li, A Phanishayee, D Murray, J Tarnawski, NS Kim - vldb.org
Deep neural networks (DNNs) have grown exponentially in size over the past decade,
leaving only those who have massive datacenterbased resources with the ability to develop …

Harmony: Overcoming the Hurdles of GPU Memory Capacity to Train Massive DNN Models on Commodity Servers

Y Li, A Phanishayee, D Murray… - Proceedings of the …, 2022 - experts.illinois.edu
Deep neural networks (DNNs) have grown exponentially in size over the past decade,
leaving only those who have massive datacenter-based resources with the ability to develop …

Harmony: Overcoming the Hurdles of GPU Memory Capacity to Train Massive DNN Models on Commodity Servers

Y Li, A Phanishayee, D Murray, J Tarnawski… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Deep neural networks (DNNs) have grown exponentially in size over the past decade,
leaving only those who have massive datacenter-based resources with the ability to develop …