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moDNN: Memory Optimal Deep Neural Network Training on Graphics Processing Units.

, , , and . IEEE Trans. Parallel Distributed Syst., 30 (3): 646-661 (2019)

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Efficient Analog Circuits for Boolean Satisfiability., , , , , and . CoRR, (2016)Firm Real-Time System Scheduling Based on a Novel QoS Constraint., , , and . IEEE Trans. Computers, 55 (3): 320-333 (2006)Almost sure stability of networked control systems under exponentially bounded bursts of dropouts., and . HSCC, page 301-310. ACM, (2011)Quantum-Dot Cellular Automata (QCA) circuit partitioning: problem modeling and solutions., , , , , , , and . DAC, page 363-368. ACM, (2004)Generalized Geometric Approaches for Leaf Sequencing Problems in Radiation Therapy., , , , , and . ISAAC, volume 3827 of Lecture Notes in Computer Science, page 1176-1186. Springer, (2005)Fault Models and Yield Analysis for QCA-based PLAs., , and . FPL, page 435-440. IEEE, (2007)An online wear state monitoring methodology for off-the-shelf embedded processors., , , and . CODES+ISSS, page 114-123. IEEE, (2015)Roundtable: Machine Learning for Embedded Systems: Hype or Lasting Impact?, , , , , , and . IEEE Des. Test, 35 (6): 86-93 (2018)Monte Carlo Based Ray Tracing in CPU-GPU Heterogeneous Systems and Applications in Radiation Therapy., , , and . HPDC, page 247-258. ACM, (2015)Shell: A Spatial Decomposition Data Structure for Ray Traversal on GPU., , , and . IEEE Trans. Computers, 65 (1): 230-243 (2016)