cluster management
-
Reading Group. Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads
On Wednesday we were discussing scheduling in large distributed ML/AI systems. Our main paper was the “Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads.” one from OSDI’20. However, it was a bit outside of our group’s comfort zone (outside of my comfort zone for sure). Luckily we had an extensive presentation with a complete background…
Search
Recent Posts
- Murat and Aleksey Read Papers: “Rethinking the Cost of Distributed Caches for Datacenter Services”
- On Metastable Failures and Interactions Between Systems
- Murat and Aleksey Read Papers: “Barbarians at the Gate: How AI is Upending Systems Research”
- Academic Chat with Murat and Aleksey: 5 Cs of the Invisible Curriculum.
- HoliPaxos: Towards More Predictable Performance in State Machine Replication
Categories
- One Page Summary (11)
- Other Thoughts (14)
- Paper Review and Summary (16)
- Pile of Eternal Rejections (2)
- Playing Around (14)
- Reading Group (104)
- RG Special Session (4)
- Teaching (2)