In-person + Virtual
16 -20 May
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Wednesday, May 18 • 14:30 - 15:05
Working your Cluster: Smarter Scheduling Decisions for Your Workloads - Madalina Lazar & Denisio Togashi, Intel

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When deciding where to schedule your workloads, you have to consider more than just CPU and memory. Whether you are in 5G, AI/ML, HPC, or NFV, you have many more considerations to optimize your workloads. You may care about how busy the node is, how many GPU cards are attached, whether a minimal throughput is available, or whether the node is cooler than the temperature required for basic cooking. Fortunately, Kubernetes allows for extensions to its scheduling paradigm, which allows for new creative solutions going forward. Using these capabilities, we have created a way to use knowledge of your resources to impact your scheduling decisions. Telemetry Aware Scheduling and GPU Aware Scheduling, both open-source projects, enable you to use a variety of metrics in intelligent scheduling. In this talk, we will explain how to deploy and configure your system to handle your varied use cases.

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avatar for Madalina Lazar

Madalina Lazar

Software Engineer, Intel
Madalina Lazar is a Software Engineer and she is a member of the Cloud Native Orchestration team at Intel. She works on Telemetry Aware Scheduling within the Platform Aware Scheduling project and she enjoys leveraging data to solve real-life problems.
avatar for Denisio Togashi

Denisio Togashi

Software Engineer, Intel
Denisio Togashi is a Software Engineer in the Cloud Native Orchestration team at Intel. He works on Telemetry Aware Scheduling within the Platform Aware Scheduling project to help improve and tweak best performance.

Wednesday May 18, 2022 14:30 - 15:05 CEST
Pavilion 3, Room F | Level 2 | Central Forum Feria Valencia