We propose a joint optimization technique for crosstalk cancellation (XTC) at DFE to compensate for both ISI and XTC in high-speed I/O channels. The technique is used to compensate for between 15.7 dB and 19.7 d
In this article, we combine these procedures with our general adjoint-based optimization technique to provide a full closed-loop capability. This integrated set of algorithms is then applied to a realistic field case. Specifically, we describe the key computational procedures and highlight the ...
Virtual machine (VM) integration methods have effectively proven an optimized load balancing in cloud data centers. The main challenge with VM integration methods is the trade-off among cost effectiveness, quality of service, performance, optimal resourc
This loop of experimenting with different hyperparameters can be automated using a simple random search164 or other hyperparameter optimization techniques165,166,167,168. Finally, after the modeller is satisfied with the performance on the validation set, the generalization performance of the best ...
This gives compilers and hardware a lot of freedom to do optimization. They only have to respect the boundaries formed by locks and volatile accesses. For program fragments without locks or volatile use, optimizing compiles can do any optimization that is legal for a sequential progra...
In design optimization of complex systems, the surrogate model approach relying on progressively enriched Design of Experiments (DOE) avoids efficiency problems encountered when embedding simulation codes within optimization loops. However, an efficient
Compute a closed-loop Lyapunov function via LMI optimization. Given this Lyapunov function, derive the controller state-space matrices by solving an LMI of the form M+PTXQ+QTXTP< 0(5) whereM,P,Qare given matrices andXis an unstructuredm-by-nmatrix variable. ...
The elements or limits that should be considered the best execution with respect to the accuracy of the solution, the speed of convergence and the effectiveness, with the most elevated achievement rate, while supporting the FACTS devices optimization issue are explored. To take care of the FACTS ...
and machine learning-based optimization; Optimizing scientific applications on parallel hardware architectures; Compiler optimizations for graphics processor units (GPUs) or other programmable accelerators; Compiler techniques or loop transformations for optimizing memory hierarchy; Programming environments for GPU-...
This gives compilers and hardware a lot of freedom to do optimization. They only have to respect the boundaries formed by locks and volatile accesses. For program fragments without locks or volatile use, optimizing compiles can do any optimization that is legal for a sequential program. It also...