Term tag: parallel processing

Concurrency

Concurrency is structuring a program so independent tasks interleave. How it differs from parallelism, and why serving a model is a queueing problem.

CUDA

NVIDIA's software layer for GPUs — the programming model that turned graphics cards into AI hardware, and the real reason rivals with comparable silicon lose.

GPU Computing

Why a graphics chip runs AI: a GPU spends its transistors on arithmetic instead of on making one thread fast — and what that trade wins and costs.

Parallel Processing

Running many computations at the same instant across many processing units. In AI it makes matrix multiplication fast, which is why GPUs train models.

Scalable AI

Scaling an AI system means three different things — bigger models, faster training, more concurrent users — and each axis hits a different hard limit.

Vectorization

Replacing element-by-element loops with operations on whole arrays at once, so the work runs as SIMD instructions on a CPU or in parallel on a GPU.