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  2. SuperCalc - Wikipedia

    en.wikipedia.org/wiki/SuperCalc

    VisiCalc was the first spreadsheet program but its release for the CP/M operating system ran only on the HP-125, Sharp MZ80, and the Sony SMC-70. SuperCalc was created to fill that void and market opportunity. Alongside WordStar, it was one of the CP/M applications bundled with the Osborne 1 portable computer.

  3. Pointer jumping - Wikipedia

    en.wikipedia.org/wiki/Pointer_jumping

    Pointer jumping or path doubling is a design technique for parallel algorithms that operate on pointer structures, such as linked lists and directed graphs.Pointer jumping allows an algorithm to follow paths with a time complexity that is logarithmic with respect to the length of the longest path.

  4. List of spreadsheet software - Wikipedia

    en.wikipedia.org/wiki/List_of_spreadsheet_software

    Was one of the big three spreadsheets (the others being Lotus 123 and Excel). EasyOffice EasySpreadsheet – for MS Windows. No longer freeware, this suite aims to be more user friendly than competitors. Framework – for MS Windows. Historical office suite still available and supported. It includes a spreadsheet.

  5. Algorithmic skeleton - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_skeleton

    SkeTo is different from other skeleton libraries because instead of providing nestable parallelism patterns, SkeTo provides parallel skeletons for parallel data structures such as: lists, trees, [85] [86] and matrices. [87] The data structures are typed using templates, and several parallel operations can be invoked on them.

  6. Data parallelism - Wikipedia

    en.wikipedia.org/wiki/Data_parallelism

    Parallel execution results in a speedup of 4 over sequential execution. One important thing to note is that the locality of data references plays an important part in evaluating the performance of a data parallel programming model. Locality of data depends on the memory accesses performed by the program as well as the size of the cache.

  7. Loop-level parallelism - Wikipedia

    en.wikipedia.org/wiki/Loop-level_parallelism

    The opportunity for loop-level parallelism often arises in computing programs where data is stored in random access data structures. Where a sequential program will iterate over the data structure and operate on indices one at a time, a program exploiting loop-level parallelism will use multiple threads or processes which operate on some or all ...