KnowraParallel computingLinked fromLinked fromThe 28 pages that link to Parallel computing, each with the reason it gives.All 28Related 8Narrower topic 12Compared with 8Graphics processing unitNarrower topic: GPUs are specialized hardware for exploiting large-scale parallelism.High-performance computingNarrower topic: HPC gains speed by distributing suitable workloads across many processors.Amdahl's lawNarrower topic: Amdahl's law is commonly used to estimate its scaling limits.SupercomputerNarrower topic: Supercomputers gain speed by splitting calculations into tasks that can run concurrently.CUDANarrower topic: CUDA is one platform for expressing and executing parallel computations.Parallel algorithmNarrower topic: Parallel algorithms are the software methods used within this broader computing approach.Gustafson's lawNarrower topic: The law addresses how performance in this broader field changes with processor count.Gene AmdahlNarrower topic: Amdahl’s law became a standard way to reason about the limits of parallel systems.Hardware accelerationNarrower topic: Parallelism is a main source of speedup in accelerator workloads.MultiprocessingNarrower topic: Multiprocessing is one way to perform parallel computing.General-purpose computing on graphics processing unitsNarrower topic: GPGPU is a hardware-specific approach to parallel computing.Multi-core processorNarrower topic: Multi-core processors provide parallel hardware, but software must expose suitable work.