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Improving Data-Analytics Performance Via Autonomic Control of Concurrency and Resource Units.

, and . ACM Trans. Auton. Adapt. Syst., 13 (3): 13:1-13:25 (2019)

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Dynamic Scheduling of Real-Time Mixture-of-Experts Systems on Limited Resources., and . IEEE Trans. Computers, 63 (7): 1751-1764 (2014)Detailed modeling of fault-tolerant processor arrays., and . FTCS, page 545-552. IEEE Computer Society, (1989)Parallelism detection and transformation techniques useful for VLSI algorithms., and . J. Parallel Distributed Comput., 2 (3): 277-301 (1985)On the Performance of Combined Data Flow and Control Flow Systems: Experiments Using Two Iterative Algorithms., and . J. Parallel Distributed Comput., 5 (4): 359-382 (1988)Characterization and Parallelization of Decision-Tree Induction., and . J. Parallel Distributed Comput., 61 (3): 322-349 (2001)Cloud Networking to Support Data Intensive Applications., , and . Cloud Computing for Data-Intensive Applications, Springer, (2014)Explanation Capabilities in DEFT : A Design-For-Testability Expert System., and . ITC, page 954-963. IEEE Computer Society, (1986)Implicit Finite Element Applications: A Case for Matching the Number of Processors to the Dynamics of the Program Execution., , , and . PPSC, SIAM, (1997)Block-Row Sparse Matrix-Vector Multiplication on SIMD Machines., and . ICPP (3), page 34-41. CRC Press, (1995)The Purdue University network-computing hubs: running unmodified simulation tools via the WWW., , and . ACM Trans. Model. Comput. Simul., 10 (1): 39-57 (2000)