Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to manage memory allocation. An example apparatus includes a memory detector to scan a platform for available memory. The example apparatus also includes a memory size checker to retrieve a virtual memory layout associated with the available memory devices associated with the platform and to determine whether virtual address boundaries of respective ones of a available memory device generate a virtual address gap therebetween. The example apparatus also includes a address assigner to reassign virtual addresses of at least one of the respective ones of the available memory devices to remove the virtual address gap.

Abstract: Apparatus, systems, methods, and articles of manufacture to manage power of deep learning accelerator systems are disclosed. An example apparatus includes a power manager and a power controller. The power manager is to generate a power table to allocate power frequencies between an accelerator and memory based on a ratio of compute tasks and bandwidth tasks in a first workload; update the power table based on a request to at least one of add a second workload or remove the first workload; and determine an index into the power table. The power controller is to determine a power consumption based on the power table; determine whether to update the index based on a power budget and the power consumption; and allocate power to the accelerator and the memory according to the power table.

Abstract: Apparatus, devices, systems, methods, and articles of manufacture are disclosed to allocate power in a computing device. An example system includes a compiler to: analyze power consumption behavior of power consumption units of the computing device; build a power profile; and generate source code with hints of the power profile. The example system includes a power control circuit to: develop a power policy using the hints of the power profile and requests for power licenses from the power consumption units of the computing device; and allocate power to the power consumption units based on the power profile.

Abstract: Apparatus, systems, methods, and articles of manufacture to manage power of deep learning accelerator systems are disclosed. An example apparatus includes a power manager and a power controller. The power manager is to generate a power table to allocate power frequencies between an accelerator and memory based on a ratio of compute tasks and bandwidth tasks in a first workload; update the power table based on a request to at least one of add a second workload or remove the first workload; and determine an index into the power table. The power controller is to determine a power consumption based on the power table; determine whether to update the index based on a power budget and the power consumption; and allocate power to the accelerator and the memory according to the power table.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to manage memory allocation. An example apparatus includes a memory detector to scan a platform for available memory. The example apparatus also includes a memory size checker to retrieve a virtual memory layout associated with the available memory devices associated with the platform and to determine whether virtual address boundaries of respective ones of a available memory device generate a virtual address gap therebetween. The example apparatus also includes a address assigner to reassign virtual addresses of at least one of the respective ones of the available memory devices to remove the virtual address gap.

Abstract: Apparatus, devices, systems, methods, and articles of manufacture are disclosed to allocate power in a computing device. An example system includes a compiler to: analyze power consumption behavior of power consumption units of the computing device; build a power profile; and generate source code with hints of the power profile. The example system includes a power control circuit to: develop a power policy using the hints of the power profile and requests for power licenses from the power consumption units of the computing device; and allocate power to the power consumption units based on the power profile.