Abstract: A secondary battery includes an electrode assembly having a positive electrode provided with a positive electrode tab, a separator, and a negative electrode provided with a negative electrode tab, the positive electrode, the separator, and the negative electrode being wound, the electrode assembly having a core part at a center thereof; a can configured to receive the electrode assembly therein, the negative electrode tab being connected to the can; a cap assembly coupled to an opening of the can, the positive electrode tab being connected to the cap assembly; and a reinforcing member provided on an end of the separator exposed beyond the positive electrode or the negative electrode to prevent heat of the positive electrode tab or the negative electrode tab from being transferred to the separator.

Abstract: A GPU performs dynamic power level management by switching between pre-defined power levels having distinct clock and voltage levels. The dynamic power level management includes identifying a first performance metric associated with processing workloads at the for a consecutive number of measurement cycles. In some embodiments, the consecutive number of measurement cycles includes a current measurement cycle and at least one previous measurement cycle. Based on a determination that the consecutive number of measurement cycles exceeds a minimum hysteresis number, an estimated optimization is determined to be applied to the GPU for a future measurement cycle. A power level setting at the GPU for the future measurement cycle is adjusted based on the estimated optimization. By considering performance metrics including, for example, different processing workloads and hardware configurations, the GPU is able to dynamically adapt its power settings to the particular workload that it is currently processing.

Abstract: A GPU performs dynamic power level management by switching between pre-defined power levels having distinct clock and voltage levels. The dynamic power level management includes identifying a first performance metric associated with processing workloads at the for a consecutive number of measurement cycles. In some embodiments, the consecutive number of measurement cycles includes a current measurement cycle and at least one previous measurement cycle. Based on a determination that the consecutive number of measurement cycles exceeds a minimum hysteresis number, an estimated optimization is determined to be applied to the GPU for a future measurement cycle. A power level setting at the GPU for the future measurement cycle is adjusted based on the estimated optimization. By considering performance metrics including, for example, different processing workloads and hardware configurations, the GPU is able to dynamically adapt its power settings to the particular workload that it is currently processing.