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Glossary

2,942 technical terms and definitions

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System Message

prompting

System message is the highest-priority context instruction that defines assistant role, behavior boundaries, and policy constraints for a conversation - it sets the foundational…

System Message

prompting techniques

System Message is the highest-priority instruction layer that sets persistent behavior and policy for a conversation session - It is a core method in modern LLM workflow…

System on Chip Power Budget Breakdown Prediction Machine Learning

system-on-chip power budget breakdown prediction, system-on-chip power budget, power budget breakdown, budget breakdown prediction, system-on-chip power, power budget

System-on-Chip Power Budget Breakdown Prediction with Machine Learning Introduction & Motivation System-on-Chip Power Budget Breakdown Prediction with Machine Learning addresses…

System on Chip

soc, system-on-chip, heterogeneous soc, cpu gpu npu soc, soc architecture, soc design

System on chip integrates processors, accelerators, memory control, interconnect, security, I/O and often analog or RF functions on one die or tightly coupled package. SoCs…

System Prompt

persona, role

System Prompts and Persona Design What is a System Prompt? A system prompt is special instruction text that defines the AI's behavior, persona, constraints, and capabilities…

System Prompt

instruction, setup

System Prompts are the persistent instruction sets that define an AI assistant's persona, constraints, capabilities, and behavior before any user interaction begins…

System Prompt Extraction

ai safety

System prompt extraction is an AI safety concern where users attempt to recover the hidden system instructions (system prompt) that shape an LLM's behavior, personality…

System Reliability Modeling

reliability

System reliability modeling is the quantitative prediction of system-level reliability from component behavior architecture and stress conditions - Models integrate block…

System Scaling

business & strategy

System Scaling is the improvement of end-system capability through coordinated advances in architecture, software, packaging, and process technology - It is a core method…

System-Software-Performance-Stack Machine Learning

system software performance and stack, system software performance, software performance stack, system software, software performance, performance stack

System Software Performance and Stack Introduction & Motivation System Software Performance and Stack addresses a central problem in system-software process control…

System-Technology Co-Optimization

stco, design

System-Technology Co-Optimization (STCO) is the most advanced, holistically integrated engineering strategy driving the bleeding-edge "More than Moore" semiconductor era…

System Throughput Prediction Machine Learning

system throughput prediction, system throughput, throughput prediction

System Throughput Prediction with Machine Learning Introduction & Motivation System Throughput Prediction with Machine Learning addresses a central problem in system throughput…

System-Verification-Completeness-Score Machine Learning

system verification completeness and scoring, system verification completeness, verification completeness scoring, system verification, verification completeness

System Verification Completeness and Scoring Introduction & Motivation System Verification Completeness and Scoring addresses a central problem in verification process control…

Systematic Defect

yield enhancement

Systematic Defect is a defect type that repeats due to persistent causes in process, design, or equipment - It often creates recognizable signatures across similar structures…

Systematic Defect Pattern

manufacturing operations

Systematic Defect Pattern is a repeatable non-random spatial signature tied to deterministic process or equipment behavior - It is a core method in modern semiconductor wafer-map…

Systematic Defect Signature Prediction Machine Learning

systematic defect signature prediction, systematic defect signature, defect signature prediction, systematic defect, defect signature, signature prediction

Systematic Defect Signature Prediction with Machine Learning Introduction & Motivation Systematic Defect Signature Prediction with Machine Learning addresses a central problem…

Systematic Defects

metrology

Systematic defects are repeating, predictable defect patterns — caused by process issues, equipment problems, or design weaknesses that create consistent failures, as opposed…

Systematic Sampling

quality & reliability

Systematic Sampling is a fixed-interval sampling method that measures every k-th unit in a production sequence - It is a core method in modern semiconductor statistical quality…

Systematic Signature

metrology

Spectroscopic ellipsometry and inline optical wafer metrology constitute the non-destructive physical measurement and defect detection disciplines that govern yield control across…

Systematic Variation

design & verification

Systematic Variation is predictable parameter shifts that affect broad regions similarly due to common process or design factors - It introduces correlated performance movement…

Systematic Vth Variation

device physics

Systematic Vth variation is the deterministic threshold shift pattern caused by repeatable process and layout-dependent effects rather than random mismatch - it can be predicted…

Systematic Within-Die Variation

manufacturing

Systematic within-die variation is the predictable local parameter shift inside a die driven by deterministic layout and process interactions - unlike pure random mismatch, it can…

Systematic Yield Loss

production

Systematic Yield Loss is yield loss caused by design-process interactions, pattern-dependent failures, and process marginalities — affecting the SAME die locations on every wafer…

Systematic Yield Loss

yield enhancement

Systematic Yield Loss is yield degradation caused by repeatable process, design, or equipment-driven patterns - It appears as structured signatures across wafers, lots, or layout…

Systematic Yield Loss Detection Prediction Machine Learning

systematic yield loss detection prediction, systematic yield loss, yield loss detection, loss detection prediction, systematic yield, yield loss, loss detection

Systematic Yield Loss Detection Prediction with Machine Learning Introduction & Motivation Systematic Yield Loss Detection Prediction with Machine Learning addresses a central…

Systolic Array

matrix multiply, matrix array

A systolic array is a grid of multiply-accumulate (MAC) cells that pumps data rhythmically from each cell to its neighbor, reusing every operand many times as it flows through…

Systolic-Array-Accelerator Machine Learning

systolic array accelerator design, systolic array accelerator, array accelerator design, systolic array, array accelerator, accelerator design

Systolic Array Accelerator Design Introduction & Motivation Systolic Array Accelerator Design addresses a central problem in hardware-accelerators process control…

Systolic-Array-Design Machine Learning

systolic array hardware design, systolic array hardware, array hardware design, systolic array, array hardware, hardware design

Systolic Array Hardware Design Introduction & Motivation Systolic Array Hardware Design addresses a central problem in ml-hardware process control and throughput-per-mm2…

Systolic Array Design

systolic array, matrix multiply array, pe grid dataflow

Systolic array design definition and engineering boundary. organizes processing elements in a regular grid that rhythmically passes operands or partial sums between neighbors. It…

Systolic Array Hardware

ai accelerator tpu, google tpu architecture, matrix multiplication hardware, spatial computing systolic

Systolic Array Architecture is the highly specialized, spatial hardware configuration of repeating, synchronized processing elements (ALUs) specifically engineered to pump massive…

Systolic-Array-Throughput-Density Machine Learning

systolic array throughput and operator density, systolic array throughput, array throughput operator, throughput operator density, systolic array, array throughput, operator density

Systolic Array Throughput and Operator Density Introduction & Motivation Systolic Array Throughput and Operator Density addresses a central problem in compute process control…

Supply Chain Security

semiconductor supply chain security, hardware trojan, counterfeit ic, trusted foundry

Supply chain security protects hardware and software provenance from design through fabrication, assembly, distribution, deployment, and retirement. Modern chips cross many…

Sidewall Spacer

A sidewall spacer is a thin layer of insulating material formed along the vertical sides of a transistor's gate, used to precisely control where subsequent processing steps, like…

Small Cell

A small cell is a low-power, compact wireless base station that covers a much smaller geographic area than a traditional cell tower, deployed in dense clusters to boost network…

Standard Cell

A standard cell is a small, pre-designed and pre-verified circuit block, such as a basic logic gate, that chip designers assemble by the thousands or millions from a shared…

Setup and Hold Time

Setup and hold time are the two timing constraints that define the window around a clock edge during which a flip-flop's input data must remain stable, with setup time covering…

Silicide

Silicide is a compound formed by reacting a metal with silicon at the transistor's contact regions, creating a layer with much lower electrical resistance than silicon alone…

Simd

SIMD, or Single Instruction Multiple Data, is a processor technique that applies one instruction to many pieces of data simultaneously, rather than repeating that same instruction…

Static Timing Analysis

Static timing analysis, or STA, is a verification technique that checks whether every signal path in a chip design can meet its required timing without needing to simulate…

Strained Silicon

Strained silicon is a technique that deliberately stretches or compresses the silicon crystal lattice in a transistor's channel region, altering how easily electrons or holes move…

Subthreshold Slope

Subthreshold slope is a measure of how sharply a transistor's current turns off as its gate voltage drops below the threshold needed to switch it on, with a steeper, lower slope…