Question

Algorithms with this property are often expressed in terms of the relationships between T-sub-one, T-sub-p, and T-sub-infinity under the work-span or work-time frameworks. Gustafson’s (10[1])law generalizes an earlier statement that this property provides improvements equal to “one over the quantity ‘one minus p plus p over s.’” Register renaming and a common data bus are among the innovations that Tomasulo’s algorithm uses to improve this property, whose gains are also described by Amdahl’s law. Flynn’s (10[1])taxonomy uses categories such as MIMD to describe this property’s presence at the data and/or instruction levels. Unlike concurrency, this property involves multiple processes (10[2])running simultaneously, (10[1])such as in pipelining. (10[1])For 10 points, name this property contrasted with sequential computing. ■END■ (10[2]0[2])

ANSWER: parallelism [or parallel computing; or synonyms such as parallel programming; or parallelization; accept distributed computing or distributed systems; accept multithreading or multiprocessing; accept pipelining until read; reject “concurrency”]
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PlayerTeamOpponentBuzz PositionValue
Kenny Zhang (UG)Virginia A (UG)Maryland B (UG)2310
Rasheeq Azad (UG)UNC B (UG)Liberty A (Grad)7410
Kevin Jiang (UG)Duke A (UG)GWU A (UG)9810
Jim Fan (Grad)UNC A (Grad)Roanoke College A (DII)9810
Meredie Cohen (DII)William & Mary A (UG)UNC C (UG)10010
Isaac Mammel (UG)Maryland A (Grad)Virginia B (UG)10410
Emma Zajonc (DII)Liberty B (DII)Virginia C (UG)11510
Patrick Torre (DII)Maryland C (DII)Liberty C (DII)1150
Nathan Redford (DII)Liberty C (DII)Maryland C (DII)1150
Logan Mitchell (UG)JMU B (UG)UNC D (DII)11510