Qualcomm Incorporated

Satyaki Mukherjee

Kunal Mukesh Desai

Vinayak Shrivastava

Siddharth Kamdar

Abhinav Mittal

Azzedine Touzni

Ronald Alton

Thomas Zeng

Virat Deepak

Umesh Madhusudan Rao

Srikar Karnam Venkat Naga

Karimulla Syed

Venkata Naga Satya Srinivas Nudurupati

Vandit Chauhan

Ashok Kumar Immadi

Rohit Singh

A system for performing peak current mitigation in an application programming subsystem (APSS) dynamically performs mitigation based at least in part on power rail voltage and leakage current obtained at boot time. The voltage and leakage current obtained at boot time are used to estimate peak current. A map that is generated prior to boot time maps estimated peak current to throttling level and dictates different levels of throttling to be performed for different ranges of estimated peak current. At boot time, the map is used to map the estimated peak current to a level of throttling to be applied. If conditions at run time indicate that peak current is occurring or is likely to occur soon, the mapped level of throttling is applied to mitigate the peak current.

Systems and methods for mitigating peak current and improving overall performance

Systems, methods, and computer programs are disclosed for managing memory channel connectivity. One embodiment of a system comprises a high-bandwidth memory client, a low-bandwidth memory client, and an address translator. The high-bandwidth memory client is electrically coupled to each of a plurality of memory channels via an interconnect. The low-bandwidth memory client is electrically coupled to only a portion of the plurality of memory channels via the interconnect. The address translator is in communication with the high-bandwidth memory client and configured to perform physical address manipulation when a memory page to be accessed by the high-bandwidth memory client is shared with the low-bandwidth memory client.

Bandwidth-based selective memory channel connectivity on a system on chip

Systems, methods, and computer programs are disclosed for dynamically adjusting memory channel interleave granularity. An embodiment of a system comprises a plurality of memory clients, a memory management unit (MMU), and an address translator. The plurality of memory clients are electrically coupled to each of a plurality of memory channels via an interconnect. The MMU is configured to receive a request for a memory allocation request for one or more memory pages from one of the plurality of memory client and, in response, select one of a plurality of interleave granularities for the one or more memory pages. The address translator is configured to translate a physical address to interleave memory data associated with the one or more memory pages at the selected interleave granularity.

Dynamic adjustment of memory channel interleave granularity

Systems for a method for monolithic workload scheduling in a portable computing device ('PCD') having a hypervisor are disclosed. An exemplary method comprises instantiating a primary virtual machine at a first exception level, wherein the primary virtual machine comprises a monolithic scheduler configured to allocate workloads within and between one or more guest virtual machines in response to one or more interrupts, instantiating a secure virtual machine at the first exception level and instantiating one or more guest virtual machines at the first exception level as well. When an interrupt is received at a hypervisor associated with a second exception level, the interrupt is forwarded to the monolithic scheduler along with hardware usage state data and guest virtual machine usage state data. The monolithic scheduler may, in turn, generate one or more context switches which may comprise at least one intra-VM context switch and at least one inter-VM context switch.

System and method for monolithic scheduling in a portable computing device using a hypervisor

Growing community of inventors

Bengaluru, India

Satyaki Mukherjee