Posts

Showing posts with the label tuning

Using Multiple Input, Multiple Output Formal Control to Maximize Resource Efficiency in Architectures

Authors: Raghavendra Pradyumna Pothukuchi, Amin Ansari, Petros Voulgaris, and Josep Torellas Venue:    ISCA 2016 This paper using control theory to design an adaptive system. While many approaches exist, the key novelty to this work is the multiple-input, multiple-output coordination which considers multiple trade-offs simultaneously to tune the system. The framework essentially uses several "training set" workloads to train a controller which is able to predict power and performance. Then, a "test set" of workloads is used to evaluate the controller's performance when trying to tune the power-performance trade-offs. The benefit is formal guarantees, however, the cost is the user requirement to specify reference values. More specifically, rather than "maximize x  trade-off", MIMO controller works best by specifying "achieve values x1, x2, with weights w1 and w2" for importance. Overall, this work excellently integrates considerations such a...