Joshua Landwehr
Publications by Year
Research Areas
Parallel Computing and Optimization Techniques, Cloud Computing and Resource Management, Distributed and Parallel Computing Systems, Advanced Data Storage Technologies, Advanced Neural Network Applications
Most-Cited Works
- → TERAFLUX: Harnessing dataflow in next generation teradevices(2014)66 cited
- → Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing(2017)21 cited
- → Application characterization at scale(2016)9 cited
- → Extending the Roofline Model for Asynchronous Many-Task Runtimes(2016)5 cited
- → Asynchronous Runtimes in Action: An Introspective Framework for a Next Gen Runtime(2016)5 cited
- → Designing Scalable Distributed Memory Models(2017)3 cited
- → Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes(2017)
- → Tapestry: weaving execution and synchronization models(2025)