Distributed systems Distributed systems In the jargon of parallel computing, an embarrassingly parallel workload (or embarrassingly parallel problem) is one for which no particular effort is needed to segment the problem into a very large number of parallel tasks, and there is no essential dependency (or communication) between those parallel tasks. ...more on Wikipedia about "Embarrassingly parallel"
(Lamport timestamps) Considerations: ...more on Wikipedia about "Lamport timestamps"
A logical clock is a mechanism for capturing chronological and causal relationships in a distributed system. As physical clocks cannot be perfectly synchronized, event timestamps derived from readings of physical clocks cannot in general be used to find out the order in which events happened. ...more on Wikipedia about "Logical clock"
Vectorization, in computer science, is the process of converting an algorithm from a scalar implementation, which does an operation one pair of operands at a time, to a vector process where a single instruction can refer to a vector (series of adjacent values). Vector processing is a major feature of supercomputers since while there may be some overhead to starting up a vector operation, once it starts each individual operation is faster (in part because it avoids the need for instruction decoding). ...more on Wikipedia about "Vectorization"
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