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Glossary

2,311 technical terms and definitions

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mosfet scaling 1970s set stage for fixed voltage scaling break

mosfet scaling 1970s step 20 set stage for fixed voltage scaling break, set stage for fixed voltage scaling break

MOSFET Scaling (1970s): Step 20 — Setting the Stage for the Fixed-Voltage Scaling Break Where this series ends and the next scaling era begins. This series has tracked 1970s…

mosfet scaling 1970s shrink source drain junction depth

mosfet scaling 1970s step 8 shrink source drain junction depth, shrink source drain junction depth

MOSFET Scaling (1970s): Step 8 — Shrinking Source/Drain Junction Depth Shallow junctions become necessary once channel length drops below a few micrometers. Dennard scaling calls…

mosfet scaling 1970s thin the gate oxide under control

mosfet scaling 1970s step 4 thin the gate oxide under control, thin the gate oxide under control

MOSFET Scaling (1970s): Step 4 — Thinning the Gate Oxide Under Control How thermal oxidation was pushed from ~120 nm toward the 50-70 nm range. Gate oxide thickness sets both…

mosfet scaling 1970s trace short channel threshold rolloff

mosfet scaling 1970s step 12 trace short channel threshold rolloff, trace short channel threshold rolloff

MOSFET Scaling (1970s): Step 12 — Tracing Short-Channel Threshold Rolloff The first clearly non-ideal effect scaled devices ran into. As channel lengths pushed below roughly 2-3…

mosfet switching loss prediction machine learning

mosfet switching loss prediction, mosfet switching loss, switching loss prediction, mosfet switching, switching loss, loss prediction

MOSFET Switching Loss Prediction with Machine Learning Introduction & Motivation MOSFET Switching Loss Prediction with Machine Learning addresses a central problem in power MOSFET…

moth-flame-algorithm machine learning

moth-flame algorithm

Moth-Flame Algorithm Introduction & Motivation Moth-Flame Algorithm addresses a central problem in ml process control and convergence-speed-iterations prediction: how to Predict…

motherboard

mainboard, system board, ATX, chipset, CPU socket, UEFI, PCIe slot

A motherboard is the main printed circuit board of a computer, the platform that physically holds the processor, memory modules and expansion cards and supplies the electrical…

motif detection

graph algorithms

Motif Detection (Network Motifs) is the graph mining task of finding statistically significant subgraph patterns — small connected subgraphs that appear in a network significantly…

motion compensation

video understanding

Motion compensation is the alignment process that maps neighboring frames into a common reference frame so temporal information can be fused without ghosting artifacts - it is…

motion compensation

multimodal ai

Motion Compensation is aligning frames using estimated motion to reduce temporal redundancy and improve reconstruction - It improves compression, interpolation, and restoration…

motion forecasting

robotics

Motion Forecasting is a broader generalization of trajectory prediction — predicting the future state (position, velocity, pose, intention) of dynamic agents in an environment…

motion-planning-path-finding machine learning

motion planning path finding, motion planning path, planning path finding, motion planning, planning path, path finding

Motion Planning Path Finding Introduction & Motivation Motion Planning Path Finding addresses a central problem in robotics process control and path-planning-collision-free…

motion planning

path planning, rrt, rrt star, prm, a star, trajectory optimization, robot planning

Motion planning computes a feasible collision-free path or trajectory from a start state to a goal under geometry, dynamics, and constraints. Robots, autonomous vehicles, drones…

motion-segmentation-moving-object machine learning

motion segmentation moving object, motion segmentation moving, segmentation moving object, motion segmentation, segmentation moving, moving object

Motion Segmentation Moving Object Introduction & Motivation Motion Segmentation Moving Object addresses a central problem in vision process control…

motion transfer

video generation

Motion transfer is a video generation technique that applies the motion patterns captured from a source video to a different target subject, enabling one character or object…

motion transfer

video generation

Motion transfer is the technique that applies movement patterns from a source sequence to a target subject or style representation - it enables controllable animation…

motion waste

production

Motion waste is the unnecessary movement of people that does not add value to the product - it is a major source of lost labor time, ergonomic risk, and process inconsistency.…

motion waste

manufacturing operations

Motion Waste is unnecessary movement by operators or equipment caused by poor workplace design or process sequencing - It increases fatigue, cycle time, and ergonomic risk. What…

motor control

field oriented control, FOC motor drive, vector control, direct torque control

Motor control. regulates electric-machine torque, speed, position or flux by coordinating sensing, real-time algorithms and a power inverter. A motor drive transforms DC-bus…

motor driver

h bridge, gate driver, bldc driver, stepper motor driver, robot actuator driver, motor efficiency

motor driver is a power integrated circuit that translates low-energy control commands into controlled voltage and current for an electric motor. Motor drivers connect digital…

mouse

computer mouse, Douglas Engelbart, optical mouse, scroll wheel, pointing device, mother of all demos, DPI

A computer mouse is a handheld pointing device that detects its own movement across a surface and translates it into movement of a cursor on screen, with buttons and usually…

movement pruning

model optimization

Movement Pruning is a pruning method that removes weights based on optimization trajectory movement rather than magnitude alone - It is effective in transfer-learning…

movement-pruning machine learning

Movement Pruning Introduction & Motivation Movement Pruning addresses a central problem in reducing the size and cost of compression models: how to Reduce the size and inference…

movement-pruning-v2 machine learning

Movement Pruning (Extended Study) Introduction & Motivation Movement Pruning (Extended Study) addresses a central problem in reducing the size and cost of compression models: how…

movement-pruning-v3 machine learning

Movement Pruning (Extended Study) Introduction & Motivation Movement Pruning (Extended Study) addresses a central problem in reducing the size and cost of compression models: how…

mpi advanced point to point

mpi persistent request, mpi one sided rma, mpi window fence, mpi derived datatype

Advanced MPI Communication encompasses sophisticated messaging primitives beyond basic send/receive, including persistent requests for reduced overhead, one-sided…

mpi basics

message passing interface, distributed memory

MPI (Message Passing Interface) is the dominant standard programming model for distributed-memory high-performance computing. It defines portable APIs that let multiple processes…

mpi collective communication

allreduce broadcast, mpi optimization, collective algorithm

MPI Collective Communication Optimization is the design and tuning of group communication operations (broadcast, reduce, allreduce, allgather, alltoall) in MPI programs…

mpi collective communication

allreduce allgather, mpi broadcast, collective optimization, ring allreduce algorithm

MPI Collective Communication Operations are the coordinated multi-process communication patterns where all (or a defined subset of) processes in a communicator participate…

mpi collective communication

allreduce mpi, broadcast gather scatter, collective optimization, mpi communication pattern

MPI Collective Communication encompasses the coordinated communication operations where all processes in a communicator group participate — including broadcast, scatter, gather…

mpi collective communication optimization

collective algorithm topology, butterfly allreduce, ring allreduce deep learning, recursive halving doubling

MPI Collective Communication Optimization: Algorithm Selection for Topology — specialized allreduce algorithms balancing latency and bandwidth optimized for different network…

mpi collective communication optimization

mpi allreduce algorithm, mpi broadcast scatter gather, mpi non blocking collective, mpi topology aware communication

MPI Collective Communication Optimization is the practice of selecting, tuning, and implementing the most efficient algorithms for multi-node communication patterns (AllReduce…

mpi collective operations

broadcast scatter gather, mpi allreduce, mpi communication patterns

MPI Collective Operations are communication patterns where all processes in a communicator participate simultaneously — implementing broadcast, scatter, gather, reduce…

mpi derived datatype

mpi type, non contiguous data, mpi struct, mpi vector datatype

MPI Derived Datatypes are the user-defined data layout descriptors that allow MPI to send and receive non-contiguous or heterogeneous data in a single communication operation…

mpi derived datatypes

mpi type struct, noncontiguous data communication, mpi pack unpack, custom mpi datatype

MPI Derived Datatypes are user-defined type descriptors that enable efficient communication of noncontiguous, heterogeneous, or structured data without manual packing into…

mpi non blocking communication

isend irecv asynchronous, mpi request wait test, communication computation overlap mpi, mpi persistent communication

MPI Non-Blocking Communication is a message passing paradigm where send and receive operations return immediately without waiting for the message transfer to complete, allowing…

mpi one sided communication

mpi rma, mpi put get, remote memory access mpi

MPI One-Sided Communication (RMA) is the MPI paradigm where a single process can directly read from (Get) or write to (Put) memory on a remote process without the remote process…

mpnn framework

mpnn, graph neural networks

MPNN Framework is a formal graph neural network template defined by message, update, and readout operators - It standardizes how information moves along edges, is integrated…

mpt

mosaic, open

MPT: Mosaic Pretrained Transformer Overview MPT is a series of open-source LLMs created by MosaicML (acquired by Databricks). They were designed to showcase Mosaic's efficient…

mpt (mosaicml pretrained transformer)

mpt, mosaicml pretrained transformer, foundation model

MPT (MosaicML Pretrained Transformer) is a family of open-source, commercially usable language models created by MosaicML (now part of Databricks), designed to demonstrate that…

mqrnn

mqrnn, time series models

MQRNN is multi-horizon quantile recurrent neural network for probabilistic time-series forecasting. - It predicts multiple future quantiles simultaneously to represent forecast…

mqtt-protocol-iot-security machine learning

mqtt protocol iot security, mqtt protocol iot, protocol iot security, mqtt protocol, protocol iot, iot security

MQTT Protocol IoT Security Introduction & Motivation MQTT Protocol IoT Security addresses a central problem in security-protocols process control…

mram fabrication

magnetic tunnel junction, mtj, stt mram, sot mram, embedded mram

Emerging memory is the umbrella term for a class of non-volatile memories — chiefly MRAM, ReRAM, and PCM — that store a bit not as trapped electric charge, the way DRAM and NAND…

mram free layer switching variation prediction with machine learning

mram free layer switching variation prediction machine learning, mram free, layer switching variation, mram mtj ram, mram free layer switching variation prediction

MRAM Free Layer Switching Variation Prediction with Machine Learning Introduction & Motivation MRAM Free Layer Switching Variation Prediction with Machine Learning addresses…

mram mtj switching variability prediction machine learning

mram mtj switching variability prediction, mram mtj switching, mtj switching variability, switching variability prediction, mram mtj, mtj switching, switching variability

MRAM MTJ Switching Variability Prediction with Machine Learning Introduction & Motivation MRAM MTJ Switching Variability Prediction with Machine Learning addresses a central…

mram stt switching variability prediction machine learning

mram stt switching variability prediction, mram stt switching, stt switching variability, switching variability prediction, mram stt, stt switching, switching variability

MRAM STT Switching Variability Prediction with Machine Learning Introduction & Motivation MRAM STT Switching Variability Prediction with Machine Learning addresses a central…

mram tunnel junction uniformity prediction machine learning

mram tunnel junction uniformity prediction, mram tunnel junction, tunnel junction uniformity, junction uniformity prediction, mram tunnel, tunnel junction

MRAM Tunnel Junction Uniformity Prediction with Machine Learning Introduction & Motivation MRAM Tunnel Junction Uniformity Prediction with Machine Learning addresses a central…

mrp

mrp, supply chain & logistics

MRP is material requirements planning that calculates component demand from production schedules and inventory status - BOM structures, lead times, and on-hand balances are netted…

mrp ii

mrp, supply chain & logistics

MRP II is manufacturing resource planning that extends MRP with capacity and financial planning integration - Material plans are synchronized with labor, equipment, and budget…

mrr

mrr, rag

MRR is mean reciprocal rank, a metric rewarding systems that place the first relevant result near the top - It is a core method in modern retrieval and RAG execution workflows.…