KVC raw data

Raw experimental data for KVC. KVC studies KV-cache management for LLM inference, focusing on the energy cost of KV-cache operations and their interaction with inference latency.

• Each folder holds the complete raw run behind one entry of the GitHub repository and uses the same global ID.
• Processed plotting points, plotting scripts, experiment metadata and conclusions are kept in the GitHub repository (results/<entry>/), and the experiment code in scripts/<entry>/.
• Each result's metadata.json on GitHub records the exact folder and revision of its raw data here.

Index

ID	Date	Raw data	GitHub result	Description
000	2026-09-29	✓	✓	45-min KV lifecycle run lifecycle_45min_20260927_231128 (telemetry, traces, server logs, configs, code snapshot, figures); used for the 128K SSD restore vs recompute energy breakdown; Llama-3.1-8B, A100 (MIG 7g), vLLM 0.11.0 + LMCache 0.3.9
003	2026-09-30	✓	✓	H100 power-measurement validity (1A sensor calibration, 1B phase alignment incl. nsys reports, 1C KV-transfer power); Llama-3.1-8B + Llama-3.3-70B TP4, vLLM 0.11.0 + LMCache 0.3.9
004	2026-09-30	✓	✓	Energy vs throughput (2A static/dynamic split, 2B KV strategies at fixed load); 8B and 70B TP4 sessions with per-request timestamps and telemetry
005	2026-10-01	✓	✓	Iso-batch control + P0 checks (write-back, nsys, pinned path); per-step vLLM records, closed loop / Poisson / gated release / injected stall
006	2026-10-01	✓	✓	Mooncake/Azure trace replays, clock-governor events, lock/unlock micro-benchmark, rule 2 on the SSD tier; input traces included
007	2026-10-01	✓	✓	Modelling grid sessions (L 2K-124K, prefix, concurrency, output, tier); the 8K layer is in 005

Entries 003-007 are on GitHub branches (exp-003-004-h100-measurement-and-energy-space, exp-005-007-batch1) until they are merged into main.