the analysis of parallel algorithms is the process of finding the computational complexity of algorithms executed in parallel – the amount of time,...

computer science, the analysis of algorithms is the process of finding the computational complexity of algorithms—the amount of time, storage, or other...

endmodule Analysis of PRAM algorithms Flynn's taxonomy Lock-free and wait-free algorithms Random-access machine Parallel programming model XMTC Parallel external...

software levels. Gustafson's law Universal Law of Computational Scalability Analysis of parallel algorithms Critical path method Moore's law Rodgers, David...

Analyzer, Cisco implementation of port mirroring Smartphone ad hoc network Critical path length in analysis of parallel algorithms Span (band), a Norwegian...

parties Parallel computing, the simultaneous execution on multiple processors of different parts of a program In the analysis of parallel algorithms, the...

series of sequential operations in a parallel computation; see analysis of parallel algorithms Critical path method, an algorithm for scheduling a set of project...

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. Another...

genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)....

speedup in the execution time of a task that theoretically gains from parallel computing, using a hypothetical run of the task on a single-core machine...

different resources. The notion of speedup was established by Amdahl's law, which was particularly focused on parallel processing. However, speedup can...

dependency in a CPU in which a memory location that has just been the target of a store operation is loaded from. The CPU may then need to wait until the...

runtime. However, very few parallel algorithms achieve optimal speedup. Most of them have a near-linear speedup for small numbers of processing elements, which...

operation in many numerical algorithms, much work has been invested in making matrix multiplication algorithms efficient. Applications of matrix multiplication...

architecture) § Data hazards Bernstein, Arthur J. (1 October 1966). "Analysis of Programs for Parallel Processing". IEEE Transactions on Electronic Computers. EC-15...

sorting is important for optimizing the efficiency of other algorithms (such as search and merge algorithms) that require input data to be in sorted lists...

perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use conditionals...

This is a list of algorithm general topics. Analysis of algorithms Ant colony algorithm Approximation algorithm Best and worst cases Big O notation Combinatorial...

doi:10.1109/IPDPS.2000.845979. ISBN 978-0-7695-0574-9. "Demystify Scalable Parallelism with Intel Threading Building Block's Generic Parallel Algorithms"....

of finding the minimum, median, and maximum element in the collection. Selection algorithms include quickselect, and the median of medians algorithm....

developed over the years. Some parallel merge sort algorithms are strongly related to the sequential top-down merge algorithm while others have a different...

Parallel slowdown is a phenomenon in parallel computing where parallelization of a parallel algorithm beyond a certain point causes the program to run...

ISBN 9781593274108. Leykin, Anton; Verschelde, Jan; Zhuang, Yan (2006). "Parallel Homotopy Algorithms to Solve Polynomial Systems". Mathematical Software - ICMS 2006...

theorem (analysis of algorithms) Mathematical induction MapReduce Heuristic (computer science) Blahut, Richard (14 May 2014). Fast Algorithms for Signal...

directed edge represented the relation "is followed by". See analysis of parallel algorithms for definitions. Chen, Shimin; Gibbons, Phillip B.; Kozuch...

"Fundamental parallel algorithms for private-cache chip multiprocessors". Proceedings of the twentieth annual symposium on Parallelism in algorithms and architectures...

September 2014. Hamada, Tsuyoshi; et al. (2009). "A novel multiple-walk parallel algorithm for the Barnes–Hut treecode on GPUs – towards cost effective, high...

necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input. Automata theory is the study of abstract machines and automata...

of asymptotic analysis for the estimation of computational complexity of algorithms and computational problems, commonly associated with the usage of...

sorting algorithms. The section on the equivalence of priority queues and sorting algorithms, below, describes how efficient sorting algorithms can create...