13 citations · 30 across the 3 of their papers we have counts for
3 papers
Quantifying Overheads in Charm++ and HPX using Task Bench
Nanmiao Wu, Ioannis Gonidelis, Simeng Liu +6
Asynchronous Many-Task (AMT) runtime systems take advantage of multi-core architectures with light-weight threads, asynchronous executions, and smart scheduling. In this paper, we…
Deploying a Task-based Runtime System on Raspberry Pi Clusters
Nikunj Gupta, Steve R. Brandt, Bibek Wagle +5
Arm technology is becoming increasingly important in HPC. Recently, Fugaku, an \arm-based system, was awarded the number one place in the Top500 list. Raspberry Pis provide an inex…
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications
Bita Hasheminezhad, Shahrzad Shirzad, Nanmiao Wu +3
Although recent scaling up approaches to training deep neural networks have proven to be effective, the computational intensity of large and complex models, as well as the availabi…