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  2. Load balancing (computing) - Wikipedia

    en.wikipedia.org/wiki/Load_balancing_(computing)

    Load balancing can optimize response time and avoid unevenly overloading some compute nodes while other compute nodes are left idle. Load balancing is the subject of research in the field of parallel computers. Two main approaches exist: static algorithms, which do not take into account the state of the different machines, and dynamic ...

  3. Work stealing - Wikipedia

    en.wikipedia.org/wiki/Work_stealing

    The work stealing algorithm as outlined earlier, and its analysis, assume a computing environment where a computation is scheduled onto a set of dedicated processors. In a multiprogramming (multi-tasking) environment, the algorithm must be modified to instead schedule computation tasks onto a pool of worker threads , which in turn are scheduled ...

  4. Data parallelism - Wikipedia

    en.wikipedia.org/wiki/Data_parallelism

    A variety of data parallel programming environments are available today, most widely used of which are: Message Passing Interface: It is a cross-platform message passing programming interface for parallel computers. It defines the semantics of library functions to allow users to write portable message passing programs in C, C++ and Fortran.

  5. Parallel breadth-first search - Wikipedia

    en.wikipedia.org/wiki/Parallel_breadth-first_search

    The breadth-first-search algorithm is a way to explore the vertices of a graph layer by layer. It is a basic algorithm in graph theory which can be used as a part of other graph algorithms. For instance, BFS is used by Dinic's algorithm to find maximum flow in a graph.

  6. Mixture of experts - Wikipedia

    en.wikipedia.org/wiki/Mixture_of_experts

    Vanilla MoE tend to have issues of load balancing: some experts are consulted often, while other experts rarely or not at all. To encourage the gate to select each expert with equal frequency (proper load balancing) within each batch, each MoE layer has two auxiliary loss functions. This is improved by [21] into a single auxiliary loss function.

  7. Dynamic problem (algorithms) - Wikipedia

    en.wikipedia.org/wiki/Dynamic_problem_(algorithms)

    Static problem For a set of N numbers find the maximal one. The problem may be solved in O(N) time. Dynamic problem For an initial set of N numbers, dynamically maintain the maximal one when insertion and deletions are allowed. A well-known solution for this problem is using a self-balancing binary search tree. It takes space O(N), may be ...

  8. Longest-processing-time-first scheduling - Wikipedia

    en.wikipedia.org/wiki/Longest-processing-time...

    Schedule each job in this sequence into a machine in which the current load (= total processing-time of scheduled jobs) is smallest. Step 2 of the algorithm is essentially the list-scheduling (LS) algorithm. The difference is that LS loops over the jobs in an arbitrary order, while LPT pre-orders them by descending processing time.

  9. Static single-assignment form - Wikipedia

    en.wikipedia.org/wiki/Static_single-assignment_form

    In compiler design, static single assignment form (often abbreviated as SSA form or simply SSA) is a type of intermediate representation (IR) where each variable is assigned exactly once. SSA is used in most high-quality optimizing compilers for imperative languages, including LLVM , the GNU Compiler Collection , and many commercial compilers.