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by
Park, Junkil, author.
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, optimization used in code generator and code transformation).
by
Chao, Hsiao-Han, author.
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polynomials and generalized polynomials. The dual semidefinite programs involve optimization over positive
by
Wang, Gang, author.
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exciting advances in non-convex optimization and statistical learning to devise algorithmic tools that are
by
Carraher, Lee A., author.
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minima that is indistinguishable from a less computationally rigorous optimization on an approximation of
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Shukla, Sharabh Ramshiromani, author. (orcid)0000-0002-2841-2897
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is a non-convex optimization problem which is challenging to solve. Increased penetration of
by
Choi, Wonje, author.
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heterogeneous manycore platforms. Second, we develop a machine learning-based multi-objective optimization (MOO
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Das, Sourav, author. (orcid)0000-0002-7404-8133
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is an instance of combinatorial optimization problem, which is computationally intractable and needs
by
Li, Xian, author.
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design and proposes the design and optimization methods for wireless-enabled high performance and energy
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Brito, Nuno Andre Mano, author.
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optimization.
by
Atahary, Tanvir, author.
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parallelized this optimization procedure on a GPGPU and ended up achieving 85--100 times speedup. This amount
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Chittamuru, Sai Vineel Reddy, author.
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cross-layer optimization strategies to aggressively improve reliability and energy-efficiency in PNoC
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Narayanan Subramani, Deepak, author.
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-Gaussian statistics; (ii) Stochastic Dynamically Orthogonal level-set optimization to rigorously incorporate realistic

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