Accelerator Scheduling for Idle Resource Reallocation
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Solution Overview
Problem
Managing accelerator resources in computing environments is challenging due to inefficient utilization when workloads monopolize idle resources, leading to underutilization and pending workloads waiting for availability.
Innovation Solution
Implementing a scheduler that monitors accelerator usage and reallocates idle resources to pending workloads based on idleness conditions and priority, using a reclamation process that includes configurable thresholds and toleration times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If accelerator resources are allocated to computing workloads, then workloads can execute tasks, but idle workloads monopolize resources causing underutilization
Solution Approach 1:
The system continuously monitors accelerator usage by collecting metrics from accelerators and workloads, comparing actual usage against thresholds to dynamically determine idleness and trigger reallocation when conditions are met
Solution Approach 2:
The accelerator allocation state is made dynamic through continuous monitoring and evaluation, allowing the system to transition between allocated and deallocated states based on real-time workload behavior and idleness conditions
2Reliability
If workloads are assigned exclusive accelerator use, then workload execution is guaranteed, but pending workloads must wait for availability
Solution Approach 1:
The system maintains a queue of pending workloads and proactively identifies opportunities to reallocate idle accelerators before workloads are explicitly requested, enabling faster allocation to waiting workloads
Solution Approach 2:
The system changes the allocation parameter from exclusive guaranteed access to conditional shared access, allowing reallocation based on monitored usage patterns and idleness thresholds
3Productivity
If a scheduler monitors and manages accelerator allocation, then resource optimization is achieved, but system complexity increases
Solution Approach 1:
The scheduler integrates multiple functions into a single component: monitoring accelerator usage, collecting metrics, evaluating idleness conditions, making reallocation decisions, and managing pending workloads, thereby consolidating complexity rather than distributing it
Data Source
AI summary
In certain implementations, computer-implemented method includes monitoring use of a first accelerator resource allocated to a first computing workload and determining, based on monitoring the use of the first accelerator resource allocated to the first computing workload, that the use of the first accelerator resource allocated to the first computing workload satisfies an idleness condition. The method further includes reallocating, based at least on determining that the use of the first accelerator resource allocated to the first computing workload satisfies the idleness condition, the first accelerator resource to a second computing workload, the second computing workload being a pending computing workload.


