The invention relates to the technical field of computing
resource scheduling, in particular to a GPU
server resource dynamic allocation management method, device and equipment and a medium, the GPU
server resource dynamic allocation management method comprises the steps of extracting a jump path to divide task migration segments, matching path repeated tasks in a thread, screening overlapped tasks in combination with scheduling and
residence time, and performing dynamic allocation management on GPU
server resources. And analyzing a resource access trend to identify scrambling stable combinations, and associating address frequencies to generate a dynamic allocation
list. According to the method, the behavior similarity among multiple tasks is identified by extracting the jump path among the tasks and performing repetition analysis, the dense overlapping interval of task execution is accurately delimited by means of cross mapping of task scheduling time and path
residence time, and the task performance of the multiple tasks is determined in combination with the derivative judgment mode of the change trend of the
access frequency of the shared resources. And identifying a task combination with stable resource scrambling behavior distribution, and establishing a dynamic binding strategy between the task and the GPU address
resource based on the joint sorting of the address
access frequency and the
residence duration.