3 Hits in 3.0 sec

Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads [article]

Dharma Shukla, Muthian Sivathanu, Srinidhi Viswanatha, Bhargav Gulavani, Rimma Nehme, Amey Agrawal, Chen Chen, Nipun Kwatra, Ramachandran Ramjee, Pankaj Sharma, Atul Katiyar, Vipul Modi (+14 others)
2022 arXiv   pre-print
At the heart of Singularity is a novel, workload-aware scheduler that can transparently preempt and elastically scale deep learning workloads to drive high utilization without impacting their correctness  ...  We present Singularity, Microsoft's globally distributed scheduling service for highly-efficient and reliable execution of deep learning training and inference workloads.  ...  Acknowledgments We are grateful to Kevin Scott, Mikhail Parakhin, Peter Lee, and Sriram Rajamani for sharing the vision of Singularity and their support.  ... 
arXiv:2202.07848v2 fatcat:y5kbgdevwra5bcovf3j2mhcv6u

Quality of Experience: From Assessment to Application (Dagstuhl Seminar 15022) Understanding Complexity in Multiobjective Optimization (Dagstuhl Seminar 15031) Model-driven Algorithms and Architectures for Self-Aware Computing Systems (Dagstuhl Seminar 15041) Artificial and Computational Intelligence in Games: Integration (Dagstuhl Seminar 15051)

Michael Philippsen, Pascal Felber, Michael Scott, J Eliot, Katrien De Moor, Markus Fiedler, Peter Reichl, Martín Varela, Salvatore Greco, Kathrin Klamroth, Joshua Knowles, Günter Rudolph (+13 others)
2015 unpublished
The research field of artificial and computational intelligence in games focuses on the wide variety of advanced computational techniques used to create, enhance, and improve the experiences of humans  ...  associated optimization models, and the development and critical evaluation of efficient solution methods.  ...  by guessing (but not predicting) workload characteristics, and scheduling by enabling elasticity even for data-intensive workloads (for example, scheduling for elastic MapReduce frameworks).  ... 

Dagstuhl Reports, Volume 7, Issue 11, November 2017, Complete Issue [article]

of a system to the volume of singularities in phase space.  ...  the large-scale structure of metabolism and evolution.  ...  Enhancing Transition to Clinical Practice Better Transparency and Interpretability of Models The lack of interpretability and transparency is one of the key obstacles that hinders acceptance of machine  ... 
doi:10.4230/dagrep.7.11 fatcat:pk2gs776vzftffmrue3j2xdgoy