Carbon-Aware Compute Scheduler (GPU/HPC)

Design a carbon-aware scheduling policy for {{workload_type}} on {{cluster_desc}}. Include: - Grid carbon intensity inputs ({{region_codes}}) + renewable forecasts - GPU tactics: mixed-precision, quantization, sparsity, gradient checkpointing - Job classes: deferrable vs latency-critical - SLA-safe shifting windows and priority queue rules - Emissions accounting: Scope 2 location vs market-based Provide a pseudocode scheduler and test scenarios.

Author: Tsubasa Kato

Model: gpt-5-thinking

Category: architecture

Tags: HPC, GPU, carbon-aware, scheduling, emissions

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