Abstract: A method of scheduling a plurality of tasks in an autonomous vehicle system (AVS) includes, by a processor, prior to runtime of an autonomous vehicle, identifying a plurality of tasks to be implemented by the AVS of the autonomous vehicle, for each of the tasks, identifying at least one fixed parameter and at least one variable, and developing a schedule for each of the tasks. The schedule includes an event loop that minimizes an overall time for execution of the tasks. The method includes compiling the schedule into an execution plan, and saving the execution plan to a memory of the autonomous vehicle. During runtime of the autonomous vehicle, the processor receives data corresponding to the variables of the tasks, and uses the variables to implement the execution plan on the autonomous vehicle.

Abstract: Disclosed herein are techniques for managing parity information for data stored on a storage device. A method includes (1) receiving a request to store data into the storage device, (2) storing portions of the data in data pages included in stripes in a band of the storage device, where a respective data page is stored on a respective different die of a respective stripe, (3) determining primary parity information for a first stripe including a subset of the data pages, (4) storing the primary parity information in a primary parity page included in a second stripe in the stripes in the band, where the primary parity page is disposed on a next available die relative to dies storing the data pages, (5) determining secondary parity information for the second stripe, and (6) storing the secondary parity information in a secondary parity page included in the stripes in the band.

Abstract: A method of scheduling a plurality of tasks in an autonomous vehicle system (AVS) includes, by a processor, prior to runtime of an autonomous vehicle, identifying a plurality of tasks to be implemented by the AVS of the autonomous vehicle, for each of the tasks, identifying at least one fixed parameter and at least one variable, and developing a schedule for each of the tasks. The schedule includes an event loop that minimizes an overall time for execution of the tasks. The method includes compiling the schedule into an execution plan, and saving the execution plan to a memory of the autonomous vehicle. During runtime of the autonomous vehicle, the processor receives data corresponding to the variables of the tasks, and uses the variables to implement the execution plan on the autonomous vehicle.

Abstract: A method of scheduling a plurality of tasks in an autonomous vehicle system (AVS) includes, by a processor, prior to runtime of an autonomous vehicle, identifying a plurality of tasks to be implemented by the AVS of the autonomous vehicle, for each of the tasks, identifying at least one fixed parameter and at least one variable, and developing a schedule for each of the tasks. The schedule includes an event loop that minimizes an overall time for execution of the tasks. The method includes compiling the schedule into an execution plan, and saving the execution plan to a memory of the autonomous vehicle. During runtime of the autonomous vehicle, the processor receives data corresponding to the variables of the tasks, and uses the variables to implement the execution plan on the autonomous vehicle.

Abstract: A method of scheduling a plurality of tasks in an autonomous vehicle system (AVS) includes, by a processor, prior to runtime of an autonomous vehicle, identifying a plurality of tasks to be implemented by the AVS of the autonomous vehicle, for each of the tasks, identifying at least one fixed parameter and at least one variable, and developing a schedule for each of the tasks. The schedule includes an event loop that minimizes an overall time for execution of the tasks. The method includes compiling the schedule into an execution plan, and saving the execution plan to a memory of the autonomous vehicle. During runtime of the autonomous vehicle, the processor receives data corresponding to the variables of the tasks, and uses the variables to implement the execution plan on the autonomous vehicle.

Abstract: Disclosed herein are techniques for managing parity information for data stored on a storage device. A method includes (1) receiving a request to store data into the storage device, (2) storing portions of the data in data pages included in stripes in a band of the storage device, where a respective data page is stored on a respective different die of a respective stripe, (3) determining primary parity information for a first stripe including a subset of the data pages, (4) storing the primary parity information in a primary parity page included in a second stripe in the stripes in the band, where the primary parity page is disposed on a next available die relative to dies storing the data pages, (5) determining secondary parity information for the second stripe, and (6) storing the secondary parity information in a secondary parity page included in the stripes in the band.

Abstract: Disclosed herein are techniques for managing parity information for data stored on a storage device. According to some embodiments, the method includes the steps of (1) receiving a request to store data into the storage device, (2) writing respective portions of the data into a plurality of data pages included in a first stripe of the storage device, where each data page is stored on a respective different die of the storage device, (3) calculating primary parity information for the first stripe, (4) writing the primary parity information into a primary parity page included in a second stripe of the storage device, (5) calculating secondary parity information for the second stripe, and (6) writing the secondary parity information into a secondary parity page included in a third stripe of the storage device. Additionally, a copy of the secondary parity information can be established to further-enhance redundancy.

Abstract: Disclosed herein are techniques for managing parity information for data stored on a storage device. According to some embodiments, the method includes the steps of (1) receiving a request to store data into the storage device, (2) writing respective portions of the data into a plurality of data pages included in a first stripe of the storage device, where each data page is stored on a respective different die of the storage device, (3) calculating primary parity information for the first stripe, (4) writing the primary parity information into a primary parity page included in a second stripe of the storage device, (5) calculating secondary parity information for the second stripe, and (6) writing the secondary parity information into a secondary parity page included in a third stripe of the storage device. Additionally, a copy of the secondary parity information can be established to further-enhance redundancy.

Abstract: Disclosed herein are techniques for maintaining an indirection manager for a mass storage device. According to some embodiments, the indirection manager is configured to implement different algorithms that orchestrate a manner in which data is read from and written into memory sectors when handling I/O requests output by a computing device that is communicatively coupled to the mass storage device. Specifically, the algorithms utilize a mapping table that is limited to two levels of hierarchy: a first tier and a second tier, which constrains the overall size and complexity of the mapping table and can increase performance. The embodiments also set forth a memory manager that is configured to work in conjunction with the indirection manager to provide a mechanism for efficiently allocating and de-allocating variably-sized groups of sectors.