Laxmikant V. Kale | DeepAI

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Featured Co-authors

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research

∙ 07/21/2022

Quantifying Overheads in Charm++ and HPX using Task Bench

Asynchronous Many-Task (AMT) runtime systems take advantage of multi-cor...

0 Nanmiao Wu, et al. ∙

research

∙ 02/23/2022

Improving Scalability with GPU-Aware Asynchronous Tasks

Asynchronous tasks, when created with over-decomposition, enable automat...

0 Jaemin Choi, et al. ∙

research

∙ 11/08/2021

Performance Evaluation of Python Parallel Programming Models: Charm4Py and mpi4py

Python is rapidly becoming the lingua franca of machine learning and sci...

0 Zane Fink, et al. ∙

research

∙ 02/24/2021

GPU-aware Communication with UCX in Parallel Programming Models: Charm++, MPI, and Python

As an increasing number of leadership-class systems embrace GPU accelera...

0 Jaemin Choi, et al. ∙