Timeout Detection and Recovery
E723442
Timeout Detection and Recovery is a Windows graphics subsystem mechanism that monitors GPU responsiveness and automatically resets the graphics driver to prevent system hangs or crashes.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Timeout Detection and Recovery canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8290041 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timeout Detection and Recovery Context triple: [Windows Display Driver Model, enablesFeature, Timeout Detection and Recovery]
-
A.
IEEE 802.1CB Frame Replication and Elimination for Reliability
IEEE 802.1CB Frame Replication and Elimination for Reliability is an Ethernet Time-Sensitive Networking (TSN) standard that enhances reliability by duplicating critical traffic across multiple paths and removing redundant copies at the receiver to prevent packet loss.
-
B.
Random Early Detection
Random Early Detection is a congestion avoidance mechanism for packet-switched networks that probabilistically drops packets before a queue becomes full to signal and control incipient congestion.
-
C.
"Reaching Agreement in the Presence of Faults"
"Reaching Agreement in the Presence of Faults" is a seminal paper in distributed computing that introduced the Byzantine Generals Problem and laid the foundations for understanding consensus in unreliable, fault-prone systems.
-
D.
QUIC Loss Detection and Congestion Control
QUIC Loss Detection and Congestion Control is an IETF specification that defines how the QUIC transport protocol detects packet loss and manages congestion to ensure efficient and reliable data transmission on the internet.
-
E.
Real Application Clusters
Real Application Clusters is an Oracle Database technology that enables multiple servers to run a single database instance concurrently for high availability and scalable performance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Timeout Detection and Recovery Target entity description: Timeout Detection and Recovery is a Windows graphics subsystem mechanism that monitors GPU responsiveness and automatically resets the graphics driver to prevent system hangs or crashes.
-
A.
IEEE 802.1CB Frame Replication and Elimination for Reliability
IEEE 802.1CB Frame Replication and Elimination for Reliability is an Ethernet Time-Sensitive Networking (TSN) standard that enhances reliability by duplicating critical traffic across multiple paths and removing redundant copies at the receiver to prevent packet loss.
-
B.
Random Early Detection
Random Early Detection is a congestion avoidance mechanism for packet-switched networks that probabilistically drops packets before a queue becomes full to signal and control incipient congestion.
-
C.
"Reaching Agreement in the Presence of Faults"
"Reaching Agreement in the Presence of Faults" is a seminal paper in distributed computing that introduced the Byzantine Generals Problem and laid the foundations for understanding consensus in unreliable, fault-prone systems.
-
D.
QUIC Loss Detection and Congestion Control
QUIC Loss Detection and Congestion Control is an IETF specification that defines how the QUIC transport protocol detects packet loss and manages congestion to ensure efficient and reliable data transmission on the internet.
-
E.
Real Application Clusters
Real Application Clusters is an Oracle Database technology that enables multiple servers to run a single database instance concurrently for high availability and scalable performance.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
GPU fault‑tolerance mechanism
ⓘ
Windows graphics subsystem mechanism ⓘ |
| abbreviation | TDR ⓘ |
| action |
reinitializes GPU
ⓘ
resets graphics driver ⓘ terminates offending graphics context ⓘ |
| affects |
Direct3D applications
ⓘ
GPU‑accelerated compute workloads ⓘ OpenGL applications on Windows ⓘ |
| alsoKnownAs | TDR ⓘ |
| category | Windows graphics architecture feature ⓘ |
| componentOf | Windows Display Driver Model ⓘ |
| configurableVia | Windows Registry ⓘ |
| defaultTimeoutSeconds | 2 ⓘ |
| designedBy | Microsoft ⓘ |
| detects |
GPU hangs
ⓘ
long‑running GPU operations ⓘ non‑responsive graphics driver ⓘ |
| failureResult |
bugcheck VIDEO_TDR_FAILURE
ⓘ
bugcheck VIDEO_TDR_TIMEOUT_DETECTED ⓘ |
| goal |
improve system stability under GPU load
ⓘ
isolate GPU failures from OS stability ⓘ |
| implementedBy |
Windows kernel‑mode graphics driver stack
ⓘ
linked to:
Windows Display Driver Model
dxgkrnl.sys ⓘ |
| introducedIn | Windows Vista ⓘ |
| monitors |
GPU responsiveness
ⓘ
graphics driver execution ⓘ |
| operatingSystem |
Microsoft Windows
ⓘ
linked to:
Windows
|
| prevents |
full system reboot
ⓘ
permanent system freeze ⓘ |
| purpose |
prevent system crashes
ⓘ
prevent system hangs ⓘ recover from GPU timeouts ⓘ |
| registryKey |
TdrDdiDelay
ⓘ
TdrDelay ⓘ TdrLevel ⓘ |
| relatedErrorCode |
0x116
ⓘ
0x117 ⓘ |
| relatedErrorMessage | Display driver stopped responding and has recovered ⓘ |
| scope |
GPU scheduler
ⓘ
graphics kernel subsystem ⓘ |
| usedIn |
Windows 10
ⓘ
Windows 11 ⓘ Windows 7 ⓘ Windows 8 ⓘ Windows 8.1 ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Timeout Detection and Recovery Description of subject: Timeout Detection and Recovery is a Windows graphics subsystem mechanism that monitors GPU responsiveness and automatically resets the graphics driver to prevent system hangs or crashes.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.