Welcome to the official execution log of DDLSim-BY-KTRUBY, where each distributed training cycle is recorded and tracked for transparency, reproducibility, and research reporting.
Maintained by: Kaitlyn Brishae Truby
Project: Distributed Deep Learning Infrastructures Emulation in Bare-Metal Nodes
Last updated: 2025-05-21
| 📅 Date | ⚙️ Mode | 🧠 Nodes | 🔁 Epochs | 📂 Logs | ✅ Status | 📝 Notes |
|---|---|---|---|---|---|---|
| 2025-05-21 | Local Test (CPU) | 30 | 5 | logs/ddlsim_20250521_164640.log_node[0-1].log |
✅ Success | First complete cycle on node0/1 |
Epoch 1 | Loss: 1.3668 Epoch 2 | Loss: 1.4021 Epoch 3 | Loss: 1.3476 Epoch 4 | Loss: 1.3081 Epoch 5 | Loss: 1.3931
Note: All values are based on randomly generated synthetic data and may vary slightly per run.
| 📅 Planned Date | Target Nodes | Purpose | Status |
|---|---|---|---|
| 2025-05-24 | 64 (remote) | Benchmark GPU simulations | 🔜 Scheduled |
| 2026-12-30 | 16 (iLabt) | Full-scale model test | 🔜 Planned |
All distributed training logs are stored in /logs/, named using timestamp and node ID:
logs/ddlsim_YYYYMMDD_HHMMSS.log_nodeX.log
- ✅ Success: Run completed with all processes synchronized
⚠️ Warning: Partial failure or missing output from one or more nodes- ❌ Failed: Runtime or communication failure
This file is automatically updated after each official cycle, and will be part of the final annual report.