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  2. High-performance computing - Wikipedia

    en.wikipedia.org/wiki/High-performance_computing

    TOP500 ranks the world's 500 fastest high-performance computers, as measured by the High Performance LINPACK (HPL) benchmark. Not all existing computers are ranked, either because they are ineligible (e.g., they cannot run the HPL benchmark) or because their owners have not submitted an HPL score (e.g., because they do not wish the size of their system to become public information, for defense ...

  3. GPFS - Wikipedia

    en.wikipedia.org/wiki/GPFS

    GPFS (General Parallel File System, brand name IBM Storage Scale and previously IBM Spectrum Scale) [1] is high-performance clustered file system software developed by IBM.It can be deployed in shared-disk or shared-nothing distributed parallel modes, or a combination of these.

  4. Multithreading (computer architecture) - Wikipedia

    en.wikipedia.org/wiki/Multithreading_(computer...

    Even though it is very difficult to further speed up a single thread or single program, most computer systems are actually multitasking among multiple threads or programs. Thus, techniques that improve the throughput of all tasks result in overall performance gains. Two major techniques for throughput computing are multithreading and ...

  5. Memory hierarchy - Wikipedia

    en.wikipedia.org/wiki/Memory_hierarchy

    Memory hierarchy affects performance in computer architectural design, algorithm predictions, and lower level programming constructs involving locality of reference. Designing for high performance requires considering the restrictions of the memory hierarchy, i.e. the size and capabilities of each component.

  6. Granularity (parallel computing) - Wikipedia

    en.wikipedia.org/wiki/Granularity_(parallel...

    In parallel computing, granularity (or grain size) of a task is a measure of the amount of work (or computation) which is performed by that task. [1] Another definition of granularity takes into account the communication overhead between multiple processors or processing elements. It defines granularity as the ratio of computation time to ...

  7. Amdahl's law - Wikipedia

    en.wikipedia.org/wiki/Amdahl's_law

    In practice, as more computing resources become available, they tend to get used on larger problems (larger datasets), and the time spent in the parallelizable part often grows much faster than the inherently serial work. In this case, Gustafson's law gives a less pessimistic and more realistic assessment of the parallel performance. [10]

  8. Space-based architecture - Wikipedia

    en.wikipedia.org/wiki/Space-based_architecture

    More specifically, an SBA is a distributed-computing architecture for achieving linear scalability of stateful, high-performance applications using the tuple space paradigm. It follows many of the principles of representational state transfer (REST), service-oriented architecture (SOA) and event-driven architecture (EDA), as well as elements of ...

  9. Aerospike (database) - Wikipedia

    en.wikipedia.org/wiki/Aerospike_(database)

    Aerospike Database is a real-time, high performance NoSQL database. Designed for applications that cannot experience any downtime and require high read & write throughput. Aerospike is optimized to run on NVMe SSDs capable of efficiently storing large datasets (Gigabytes to Petabytes). Aerospike can also be deployed as a fully in-memory cache ...