19 lines
881 B
Markdown
19 lines
881 B
Markdown
Objectives
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- Auto LLM inference config tuner
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Key Results
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- [2/10] Workload grouping methods
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- [9/10] Build the first version auto tuner system
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- [8/10] Check the current situation of parallelism config optimization
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- [4/10] Understand the possibility/challenges in LLM inference compute graph arrangement automatically
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- [1/10] Define the IR for automatic optimization
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- [5/10] Profile different parallelism setup with real trace and analysis their difference
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Last Week
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- [KR1] Run benchmark for different workload classifications and prove that different classification method will shift the best config and different workload groups need different configs to maximize the goodput.
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- [misc] Prepare for IPADS group meeting presentation.
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- [misc] Prepare for the ChinaSys presentation.
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Next Week
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- Define the workload classification space and find the method to group workload.
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