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  2. Memory model (programming) - Wikipedia

    en.wikipedia.org/wiki/Memory_model_(programming)

    The memory model stipulates that changes to the values of shared variables only need to be made visible to other threads when such a synchronization barrier is reached. Moreover, the entire notion of a race condition is defined over the order of operations with respect to these memory barriers.

  3. Parallel RAM - Wikipedia

    en.wikipedia.org/wiki/Parallel_RAM

    Similar to the way in which the RAM model neglects practical issues, such as access time to cache memory versus main memory, the PRAM model neglects such issues as synchronization and communication, but provides any (problem-size-dependent) number of processors. Algorithm cost, for instance, is estimated using two parameters O(time) and O(time ...

  4. Algorithmic efficiency - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_efficiency

    Paged memory, often used for virtual memory management, is memory stored in secondary storage such as a hard disk, and is an extension to the memory hierarchy which allows use of a potentially larger storage space, at the cost of much higher latency, typically around 1000 times slower than a cache miss for a value in RAM. [8]

  5. Parallel programming model - Wikipedia

    en.wikipedia.org/wiki/Parallel_programming_model

    Shared memory is an efficient means of passing data between processes. In a shared-memory model, parallel processes share a global address space that they read and write to asynchronously. Asynchronous concurrent access can lead to race conditions, and mechanisms such as locks, semaphores and monitors can be used to avoid these.

  6. DeepSpeed - Wikipedia

    en.wikipedia.org/wiki/DeepSpeed

    The library is designed to reduce computing power and memory use and to train large distributed models with better parallelism on existing computer hardware. [2] [3] DeepSpeed is optimized for low latency, high throughput training. It includes the Zero Redundancy Optimizer (ZeRO) for training models with 1 trillion or more parameters. [4]

  7. Memory management - Wikipedia

    en.wikipedia.org/wiki/Memory_management

    Memory management (also dynamic memory management, dynamic storage allocation, or dynamic memory allocation) is a form of resource management applied to computer memory.The essential requirement of memory management is to provide ways to dynamically allocate portions of memory to programs at their request, and free it for reuse when no longer needed.

  8. Sparse distributed memory - Wikipedia

    en.wikipedia.org/wiki/Sparse_distributed_memory

    Sparse distributed memory (SDM) is a mathematical model of human long-term memory introduced by Pentti Kanerva in 1988 while he was at NASA Ames Research Center. [1]This memory exhibits behaviors, both in theory and in experiment, that resemble those previously unapproached by machines – e.g., rapid recognition of faces or odors, discovery of new connections between seemingly unrelated ideas ...

  9. Random-access machine - Wikipedia

    en.wikipedia.org/wiki/Random-access_machine

    In computer science, random-access machine (RAM or RA-machine) is a model of computation that describes an abstract machine in the general class of register machines.The RA-machine is very similar to the counter machine but with the added capability of 'indirect addressing' of its registers.