Closed-loop fault localization and checkpoint recovery for LLM Pre-training
-
Updated
Oct 26, 2026 - Python
Closed-loop fault localization and checkpoint recovery for LLM Pre-training
Open-source framework for detecting Silent Data Corruption (SDC) in production GPU/accelerator clusters
Offline operator-level SDC screening for GPU clusters via deterministic training-fragment replay + golden-tensor validation
Empirically calibrated false-positive bound for one-sided checksum ABFT on bfloat16 GEMM, where the classical τ = Ku threshold is undefined. Catches 76% of exponent-bit flips against a pre-registered 90% bar.
A PyTorch-based implementation of DrDNA, a post-hoc framework for detecting and mitigating soft errors (SDCs) in deep neural networks. The project profiles layer-wise activation statistics and computes abnormality scores to enable early, high-accuracy SDC detection, validated on ResNet-18 with CIFAR-10 using fault injection.
Detects silent data corruption on individual CPU cores via one narrowly-scoped instruction test. Verifies computed results against an independent path, per core, and names the failing byte. Finds faults that all-core stress tests miss.
SDCShield detects silent data corruption (SDC) on live systems: stress-tests CPU compute units (FMA/SIMD/compression/SVD/crypto) and byte-compares against golden values. ARM64 port of OpenDCDiag.
Offline, fail-closed verifier for JSONL telemetry event logs. Emits deterministic audit certificates + human summaries with explicit claims/non-claims for bottleneck and integrity review.
SDC excitation engine for arm64 servers — a stress-ng fork that spends every cycle maximizing silent-data-corruption excitation (di/dt, SMT contention, cache/TLB/interconnect pressure, SDC-directed data shaping). Detection is delegated to SDCShield.
[IPDPS'24] Approximately Upper Bounding GPU Kernel SDC Probability across Multiple Inputs
What one flipped bit does to a quantized language model, and where it has to land to matter.
Catch GPUs that compute wrong answers, inside your PyTorch training and vLLM serving
Open silent data corruption (SDC) tester for GPUs and AI chips, with every result in OCP Test and Validation format
To associate your repository with the silent-data-corruption topic, visit your repo's landing page and select "manage topics."