Joshua D. Suetterlein

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 4

Top Topics

Current Practice

Parameter Optimization

Monte Carlo Simulation

Top Venues

e-Energy (Companion)

Publications

Himanshu Sharma, Joshua D. Suetterlein, Sumathi Lakshmiranganatha, Thomas Flynn, Draguna L. Vrabie, Christine Sweeney, Vinay Ramakrishniah
EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems. e-Energy (Companion) (2023)
Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong
MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers. CoRR (2021)
Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong
MAPA: multi-accelerator pattern allocation policy for multi-tenant GPU servers. SC (2021)
Joshua D. Suetterlein, Joshua Landwehr, Andrès Márquez, Joseph B. Manzano, Guang R. Gao
Extending the Roofline Model for Asynchronous Many-Task Runtimes. CLUSTER (2016)