Abstract:
A method and apparatus for reducing the consumption of standby power through the detection of the idle state of a system are disclosed herein. The apparatus includes a task information acquisition unit, an idle state detection unit, a power reduction determination unit, and a power reduction performance unit. The task information acquisition unit acquires task information from a scheduler. The idle state detection unit detects whether at least one apparatus enters an idle state based on the task information. The power reduction determination unit determines whether to perform the reduction of power consumption of the at least one apparatus based on at least one of an idle counter and the time elapsed after occurrence. The power reduction performance unit performs low-power mode using an apparatus manager corresponding to the at least one apparatus if it is determined that the reduction of power consumption is to be performed.
Abstract:
Disclosed herein is an apparatus and method for offloading parallel computation tasks. The apparatus inserts requests to execute multiple parallel thread groups into at least one parallel thread group queues, wherein when a preset order of priority exists the requests to execute is inserted into the at least one parallel thread group queues according to the preset order of priority, executes parallel threads of the parallel thread groups using a parallel thread group execution request entry extracted from the parallel thread group queue according to the order of priority, inserts an execution result into an execution result queue when execution of the parallel threads according to an execution sequence scheduled in execution startup routine code is terminated, and checks the execution termination state of the parallel thread groups by checking the execution result queue.
Abstract:
CPU frequency scaling apparatus and method, which can select an optimal frequency based on a preset power versus efficiency table for a CPU when selecting the operating frequency based on the average load of the overall system during a specific time interval. The CPU frequency scaling apparatus includes a table generation unit for generating, for all cores, a power versus efficiency table, based on available frequencies for respective cores and power consumption values depending on loads at each frequency, an average load measurement unit for calculating an average load on all the cores, and a frequency determination unit for searching the power versus efficiency table for an optimal frequency, based on load information calculated by the average load measurement unit and current power consumption of all the cores, and determining a found optimal frequency to be a new operating frequency.
Abstract:
Disclosed herein is a timer management apparatus in which contiguous timer interrupts of an operating system run on IT equipment (desktop computers, servers, mobile devices, etc.) are coalesced and processed. Accordingly, the timer management apparatus may minimize interrupt processing load and maximize system idle time, thus improving the standby power saving effect. The proposed timer management apparatus includes a timer addition sub-module unit for adding a new timer to a timer group including one or more timers, a timer deletion sub-module unit for deleting any of the registered timers that is intended to be deleted, and a timer expiration sub-module unit for simultaneously processing timers to be expired through a single interrupt processing operation.
Abstract:
Disclosed herein is a load balancing apparatus and method. The load balancing apparatus includes a load characteristic analysis unit for analyzing characteristics of a required load upon executing a service requested by a client, a scheduling unit for scheduling the load based on the analyzed characteristics, and a load balancing unit for allocating the load stored in a queue corresponding to the analyzed characteristics to a server group into which servers are grouped for respective characteristics, performing service provisioning, and then allocating the load to an available server.