1,060 technical terms and definitions
guided local search, guided local, local search
Guided Local Search Introduction & Motivation Guided Local Search addresses a central problem in ml process control and penalty-function-design prediction: how to Predict…
Guided Policy Search with Trajectory Optimization Introduction & Motivation Guided Policy Search with Trajectory Optimization addresses a central problem in reinforcement policy…
packaging
Gull-wing leads is the outward and downward bent lead form used in many surface-mount packages to create visible solder joints - they offer good inspectability and compliance…
gustafson's law, weak scaling, scaled speedup, parallel scaling
Gustafson's law models scaled speedup when the parallel portion of a problem grows with available processors while serial time remains comparatively fixed. It explains why larger…
guiding center drift velocity plasma kinetics, drift wave microturbulence etch reactor, parametric decay instability plasma sheath, gyroaverage Vlasov maxwell kinetic pde
Gyrokinetic Vlasov Transport Equations, Drift-Wave Microturbulence, and Non-Linear Instability Kinetics in EUV and ICP Etch Chambers Executive Summary Inductively Coupled Plasma…
vanishing gradient, vanishing gradient problem, deep network gradient flow
The vanishing gradient problem is what happens when the error signal used to train a network shrinks exponentially as it propagates backward through many layers, leaving…
A gate-all-around transistor, or GAA transistor, is a transistor design where the gate material completely surrounds the channel on all sides, giving it stronger control over…
A guard ring is a protective ring of doped semiconductor material or metal placed around a sensitive circuit or device on a chip, designed to intercept unwanted current or noise…
multi query attention explained, gqa vs mqa, kv cache size reduction, attention heads sharing keys values, llm serving memory optimization
Multi-query and grouped-query attention are two ways of shrinking the KV cache itself, by making multiple attention heads share the same keys and values instead of each head…
Gradient checkpointing is a training technique that discards most intermediate activations during a neural network's forward pass and recomputes them as needed during the backward…