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885 symbols 2,376 edges 87 files 189 documented · 21% 1 cross-repo links updated 2y ago★ 443 open issues
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README

0. Introduction

This repository contains the source code for our SIGCOMM'22 paper "Multi-Resource Interleaving for Deep Learning Training".

1. Content

  • simulator/ contains code for simulation and is adapted from Tiresias. Please refer to <repo>/simulator/README.md for detailed information.
  • cluster_exp/ contains code for real-cluster experiment. Please refer to <repo>/cluster_exp/README.md for detailed information.

2. Reproduce results (for SIGCOMM'22 artifact evaluation)

Please refer to <repo>/simulator/README.md and <repo>/cluster_exp/README.md for details.

Note: Due to the execution scripts of testbed experiments are highly related to intracompany platform, we only demonstrate the functionality and show the pseudocode of the related scripts (e.g., run.sh, prepare_env.sh). Please adjust to your platform if you would like to execute the testbed experiment.

3. Contact

For any question, please contact zhaoyh98 at pku dot edu dot cn

Core symbols most depended-on inside this repo

add_argument
called by 85
cluster_exp/workloads/models/deep_rl/utils/config.py
tensor
called by 59
cluster_exp/workloads/models/deep_rl/utils/torch_utils.py
close
called by 43
cluster_exp/workloads/models/deep_rl/agent/DQN_agent.py
mean
called by 31
cluster_exp/workloads/models/deep_rl/utils/torch_utils.py
layer_init
called by 26
cluster_exp/workloads/models/deep_rl/network/network_utils.py
size
called by 25
cluster_exp/workloads/models/deep_rl/component/replay.py
get_time
called by 22
cluster_exp/scheduler.py
to_np
called by 19
cluster_exp/workloads/models/deep_rl/utils/torch_utils.py

Shape

Method 644
Function 126
Class 115

Languages

Python100%

Modules by API surface

cluster_exp/jobs.py43 symbols
simulator/jobs.py42 symbols
cluster_exp/workloads/models/deep_rl/utils/torch_utils.py35 symbols
cluster_exp/workloads/models/deep_rl/network/network_heads.py35 symbols
simulator/matching.py34 symbols
cluster_exp/matching.py31 symbols
cluster_exp/workloads/models/deep_rl/component/replay.py29 symbols
cluster_exp/workloads/models/deep_rl/component/envs.py27 symbols
simulator/cluster.py26 symbols
cluster_exp/cluster.py26 symbols
simulator/run_sim.py22 symbols
cluster_exp/workloads/models/deep_rl/agent/BaseAgent.py22 symbols

Used by 1 indexed graphs manifest dependencies, hub-wide

For agents

$ claude mcp add Muri \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact

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