🎯
Focusing
HPC/AI Agent;
前仓库地址:
https://github.com/lionleepower
- Edinburgh
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16:31
(UTC +01:00) - https://orcid.org/0009-0009-5255-2230
Pinned Loading
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hpc-benchmark-agent
hpc-benchmark-agent PublicAgent-style performance analysis on real PETSc/ARCHER2 benchmark data: SQLite benchmark memory + deterministic tools, with a rule-based router and an LLM function-calling router scored on the same …
Python
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hpc_benchmark_archer2
hpc_benchmark_archer2 PublicARCHER2 上的 PETSc MPI+OpenMP 混合并行布局研究:最大 4096 核、408 个通过审计的 runs,3D 固定规模下比 flat MPI 快 3.81×,并用 Linaro MAP profiling 解释原因。
Python
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marl-value-factorisation
marl-value-factorisation PublicMAPPO experiments with VDN- and QMIX-style value factorisation
Python
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