all AI news
The MIT Supercloud Workload Classification Challenge. (arXiv:2204.05839v1 [cs.DC])
April 13, 2022, 1:11 a.m. | Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, Chansup Byun, Daniel Edelman, Mat
cs.LG updates on arXiv.org arxiv.org
High-Performance Computing (HPC) centers and cloud providers support an
increasingly diverse set of applications on heterogenous hardware. As
Artificial Intelligence (AI) and Machine Learning (ML) workloads have become an
increasingly larger share of the compute workloads, new approaches to optimized
resource usage, allocation, and deployment of new AI frameworks are needed. By
identifying compute workloads and their utilization characteristics, HPC
systems may be able to better match available resources with the application
demand. By leveraging datacenter instrumentation, it may be …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Senior Manager, IT Ops & Service Management, AI/ML
@ Sephora | San Francisco, CA, US, 50302863
AI/ML Senior Software Engineer (Indonesia)
@ Bjak | Jakarta, Jakarta, Indonesia
Data Engineer
@ Accenture Federal Services | Laurel, MD
Principal Engineer, Deep Learning
@ Outrider | Montreal, Quebec
Consultant Data manager F/H
@ Atos | Bezons, FRANCE, FR, 95870