Tremont
E168649
Tremont is a low-power x86 CPU microarchitecture by Intel designed to improve performance and efficiency in Atom-based processors for mobile, embedded, and low-cost computing devices.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tremont canonical | 4 |
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
CPU microarchitecture
ⓘ
x86 microarchitecture ⓘ |
| announcedBy | Intel in 2019 ⓘ |
| architectureFamily | Intel Atom ⓘ |
| coreFamily | Atom core ⓘ |
| coreType | low-power core ⓘ |
| designer |
Intel Corporation
ⓘ
surface form:
Intel
|
| feature |
improved branch prediction over Goldmont Plus
ⓘ
larger caches compared to Goldmont Plus ⓘ larger out-of-order window than Goldmont Plus ⓘ wider decode and execution pipelines than Goldmont Plus ⓘ |
| instructionSetArchitecture |
x86
ⓘ
x86-64 ⓘ |
| introducedBy |
Intel Elkhart Lake platform
ⓘ
Apollo Lake platform ⓘ
surface form:
Intel Jasper Lake platform
Intel Lakefield platform ⓘ |
| microarchitectureGeneration |
predecessor of Gracemont
ⓘ
successor of Goldmont Plus ⓘ |
| primaryGoal |
improved performance
ⓘ
improved power efficiency ⓘ |
| processTechnology | 10 nm class (Intel)} ⓘ |
| supports |
Intel AES-NI
ⓘ
surface form:
AES-NI
CLMUL ⓘ Intel 64 ⓘ Intel MPX ⓘ Intel SGX ⓘ Intel SSE ⓘ Intel TSX-NI ⓘ
surface form:
Intel TSX-NI (restricted)
Intel VT-d ⓘ Intel VT-x ⓘ SHA extensions ⓘ SSE2 ⓘ SSE3 ⓘ SSE4.1 ⓘ SSE4.2 ⓘ SSSE3 ⓘ out-of-order execution ⓘ |
| targetMarket |
embedded systems
ⓘ
low-cost computing devices ⓘ mobile devices ⓘ |
| useCase |
IoT devices
ⓘ
entry-level PCs ⓘ fanless devices ⓘ networking equipment ⓘ system-on-chip designs ⓘ |
| usedIn |
Intel Atom
ⓘ
surface form:
Intel Atom x6000E series
Intel Celeron ⓘ
surface form:
Intel Celeron processors (selected models)
Intel Core processors with Lakefield hybrid design ⓘ Intel Pentium ⓘ
surface form:
Intel Pentium Silver processors (selected models)
|
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: Tremont Description of subject: Tremont is a low-power x86 CPU microarchitecture by Intel designed to improve performance and efficiency in Atom-based processors for mobile, embedded, and low-cost computing devices.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.