1,187 technical terms and definitions
parallel profiling tools, scalability analysis amdahl, roofline model performance, load imbalance detection parallel
Performance Profiling and Bottleneck Analysis — Performance profiling for parallel applications identifies computational bottlenecks, communication overhead, load imbalance…
performance regression testing, performance regression, regression testing
Performance Regression Testing Introduction & Motivation Performance Regression Testing addresses a central problem in ml-ops process control and regression-detection-latency…
performance testing metrics, performance testing, testing metrics
Performance Testing Metrics Introduction & Motivation Performance Testing Metrics addresses a central problem in verification process control and metric-accuracy-measurement…
performance variability and jitter characterization, performance variability jitter, variability jitter characterization, performance variability, variability jitter
Performance Variability and Jitter Characterization Introduction & Motivation Performance Variability and Jitter Characterization addresses a central problem…
llm architecture
Performer is an efficient Transformer architecture that approximates softmax attention using random feature maps through the FAVOR+ (Fast Attention Via positive Orthogonal Random…
Periodicity and Frequency Detection Introduction & Motivation Periodicity and Frequency Detection addresses a central problem in timeseries forecasting…
permanent fault isolation and circuit-level bypass, permanent fault isolation, fault isolation circuit-level, isolation circuit-level bypass, permanent fault, fault isolation
Permanent Fault Isolation and Circuit-Level Bypass Introduction & Motivation Permanent Fault Isolation and Circuit-Level Bypass addresses a central problem in reliability process…
chemistry ai
Permeability Prediction in chemistry AI refers to machine learning models that predict a molecule's ability to cross biological membranes, particularly the intestinal epithelium…
Grouped and Clustered Permutation Feature Importance Introduction & Motivation Grouped and Clustered Permutation Feature Importance addresses a central problem in explainability…
audio & speech
Permutation Invariant Training is a training objective that resolves speaker-order ambiguity in multi-source separation - It allows models to optimize separation without fixed…
perovskite solar cell stability prediction, perovskite solar cell, solar cell stability, cell stability prediction, perovskite solar, solar cell, cell stability
Perovskite Solar Cell Stability Prediction with Machine Learning Introduction & Motivation Perovskite Solar Cell Stability Prediction with Machine Learning addresses a central…
ppl, evaluation, cross-entropy, language model, metric
Perplexity is the standard *intrinsic* measure of how well a language model predicts text, and the cleanest way to understand it is as the model's average *branching factor*…
ppl, perplexity metric, language model perplexity, bits per token, cross entropy perplexity, evaluation
Perplexity is the standard *intrinsic* measure of how well a language model predicts text, and the cleanest way to understand it is as the model's average *branching factor*…
persistent data structure, persistent data, data structure
Persistent Data Structure Introduction & Motivation Persistent Data Structure addresses a central problem in data-structures process control and version-storage-logarithmic…
Persistent Homology and Topological Graph Learning Introduction & Motivation Persistent Homology and Topological Graph Learning addresses a central problem in graph network…
persistent memory latency hierarchy and access patterns, persistent memory latency, memory latency hierarchy, latency hierarchy access, hierarchy access patterns, memory latency
Persistent Memory Latency Hierarchy and Access Patterns Introduction & Motivation Persistent Memory Latency Hierarchy and Access Patterns addresses a central problem in storage…
pmem concurrency, dax programming model, byte addressable storage runtime, nv memory software
Persistent Memory Programming is the software model for using byte addressable nonvolatile memory as a durable low latency data tier. What It Covers Core concept: combines load…
persistent storage processing integration, persistent storage processing, storage processing integration, persistent storage, storage processing, processing integration
Persistent Storage Processing Integration Introduction & Motivation Persistent Storage Processing Integration addresses a central problem in storage-computing process control…
persistent volume management, persistent volume, volume management
Persistent Volume Management Introduction & Motivation Persistent Volume Management addresses a central problem in cloud process control and volume-lifecycle-creation-deletion…
person re identification reid, person re identification, re identification reid, person re, re identification, identification reid
Person Re Identification ReID Introduction & Motivation Person Re Identification ReID addresses a central problem in vision process control and person-reid-pedestrian-matching…
dialogue
Persona-based models is dialogue models that explicitly incorporate persona attributes to shape response behavior - Persona embeddings prompts or adapters steer style preferences…
personalization user modeling, personalization user, user modeling
Personalization User Modeling Introduction & Motivation Personalization User Modeling addresses a central problem in systems process control and personalization-latency-real-time…
Personalization vs Popularity Bias Introduction & Motivation Personalization vs Popularity Bias addresses a central problem in recsys systems and {target} optimization: how…
Ditto Fair and Robust Personalized Federated Learning Introduction & Motivation Ditto Fair and Robust Personalized Federated Learning addresses a central problem in federated…
Personalized Federated Learning Introduction & Motivation Personalized Federated Learning addresses a central problem in federated and local-adaptation-strategies architecture…
Per-FedAvg Model-Agnostic Meta-Learning for Personalization Introduction & Motivation Per-FedAvg Model-Agnostic Meta-Learning for Personalization addresses a central problem…
healthcare ai
Personalized treatment plans use AI to customize therapy for each individual patient — integrating patient history, genomics, biomarkers, comorbidities, preferences…
ai safety
Perspective API is a free, ML-powered API developed by Google's Jigsaw team that analyzes text and scores it for various toxicity attributes — including toxicity, insults…
ai safety
Perspective API is the text-moderation service that scores toxicity-related attributes to help detect abusive or harmful language - it is commonly used as a moderation signal…
pfas abatement destruction efficiency prediction, pfas abatement destruction, abatement destruction efficiency, destruction efficiency prediction, pfas abatement
PFAS Abatement Destruction Efficiency Prediction with Machine Learning Introduction & Motivation PFAS Abatement Destruction Efficiency Prediction with Machine Learning addresses…
pfas-free process transition drift prediction, pfas-free process transition, process transition drift, transition drift prediction, pfas-free process, process transition
PFAS-Free Process Transition Drift Prediction with Machine Learning Introduction & Motivation PFAS-Free Process Transition Drift Prediction with Machine Learning addresses…
pfc, environmental & sustainability
PFC abatement is reduction of perfluorinated compound emissions from semiconductor process exhaust - Combustion plasma or catalytic systems decompose high-global-warming-gas…
pfc, environmental & sustainability
PFC Destruction Efficiency is the effectiveness of abatement systems in destroying perfluorinated compound emissions - It is a critical climate-impact metric for semiconductor…
partitioned global address space, coarray parallel model, upc language model, shmem programming
PGAS Programming Model is the parallel model that presents a global memory view while preserving data locality awareness. What It Covers Core concept: enables direct remote reads…
pgd, ai safety
PGD (Projected Gradient Descent) is the standard strong adversarial attack — an iterative first-order attack that takes multiple gradient ascent steps to maximize the loss within…
healthcare ai
Pharmacophore Modeling defines a drug not by its literal atomic structure or chemical bonds, but as a three-dimensional spatial arrangement of abstract chemical interaction points…
phase alignment accuracy prediction, phase alignment accuracy, alignment accuracy prediction, phase alignment, alignment accuracy, accuracy prediction
Phase Alignment Accuracy Prediction with Machine Learning Introduction & Motivation Phase Alignment Accuracy Prediction with Machine Learning addresses a central problem in phase…
phase-change cooling material, phase-change cooling, cooling material
Phase-Change Cooling Material Introduction & Motivation Phase-Change Cooling Material addresses a central problem in cooling process control and latent-heat-capacity prediction…
modeling thermal properties of phase-change materials, modeling thermal properties, thermal properties phase-change, properties phase-change materials, modeling thermal
Modeling thermal properties of phase-change materials Introduction & Motivation Modeling thermal properties of phase-change materials addresses a central problem in Thermal…
phase-change memory cell, phase-change memory, memory cell
Phase-Change Memory Cell Introduction & Motivation Phase-Change Memory Cell addresses a central problem in emerging-storage process control and set-reset-speed-nanoseconds…
phase-change memory reset current drift prediction, phase-change memory reset, memory reset current, reset current drift, current drift prediction, memory reset
Phase-Change Memory Reset Current Drift Prediction with Machine Learning Introduction & Motivation Phase-Change Memory Reset Current Drift Prediction with Machine Learning…
phase change memory resistance drift prediction with machine learning, phase change memory resistance drift prediction machine learning, phase change, pcm
Phase-Change Memory Resistance Drift Prediction with Machine Learning Introduction & Motivation Phase-Change Memory Resistance Drift Prediction with Machine Learning addresses…
phase detector characteristic prediction, phase detector characteristic, detector characteristic prediction, phase detector, detector characteristic, characteristic prediction
Phase Detector Characteristic Prediction with Machine Learning Introduction & Motivation Phase Detector Characteristic Prediction with Machine Learning addresses a central problem…
phase detector gain linearity prediction, phase detector gain, detector gain linearity, gain linearity prediction, phase detector, detector gain, gain linearity, linearity prediction
Phase Detector Gain Linearity Prediction with Machine Learning Introduction & Motivation Phase Detector Gain Linearity Prediction with Machine Learning addresses a central problem…
phase estimation eigenvalue, phase estimation, estimation eigenvalue
Phase Estimation Eigenvalue Introduction & Motivation Phase Estimation Eigenvalue addresses a central problem in quantum process control and eigenvalue-estimation-eigenvector…
phase-locked loop jitter transfer prediction, phase-locked loop jitter, loop jitter transfer, jitter transfer prediction, phase-locked loop, loop jitter, jitter transfer
Phase-Locked Loop Jitter Transfer Prediction with Machine Learning Introduction & Motivation Phase-Locked Loop Jitter Transfer Prediction with Machine Learning addresses a central…
phase-locked loop lock time prediction, phase-locked loop lock, loop lock time, lock time prediction, phase-locked loop, loop lock, lock time, time prediction
Phase-Locked Loop Lock Time Prediction with Machine Learning Introduction & Motivation Phase-Locked Loop Lock Time Prediction with Machine Learning addresses a central problem…
phase-locked loop settling time and accuracy, phase-locked loop settling, loop settling time, settling time accuracy, phase-locked loop, loop settling, settling time, time accuracy
Phase-Locked Loop Settling Time and Accuracy Introduction & Motivation Phase-Locked Loop Settling Time and Accuracy addresses a central problem in analog process control…
phase-locked loop stability prediction, phase-locked loop stability, loop stability prediction, phase-locked loop, loop stability, stability prediction
Phase-Locked Loop Stability Prediction with Machine Learning Introduction & Motivation Phase-Locked Loop Stability Prediction with Machine Learning addresses a central problem…
phase measurement noise floor prediction, phase measurement noise, measurement noise floor, noise floor prediction, phase measurement, measurement noise, noise floor, floor prediction
Phase Measurement Noise Floor Prediction with Machine Learning Introduction & Motivation Phase Measurement Noise Floor Prediction with Machine Learning addresses a central problem…