Change Details

To apply for this task please complete this mandatory coding challenge together with your application: T871 Applications without matching coding challenge completed will not be considered. Read our Google Summer of Code Overview page: https://wiki.apertus.org/index.php/GSoC_Overview --- Sensor data comes in various configurations and does not always match the desired memory order. The de-serialized data needs to be rearranged and repacked on the fly to provide a compact stream for the memory writers. **Goals:** - Implement remapping strategies for known sensors (CMV12000) - Optimize for low gate count and high throughput - Simulate/Test the re-mapper with test-streams **Prerequisites:** - Dual Memory know how **Language Skills:** - HDL (VHDL, Verilog, nMigen) **Useful Links:** - https://ams.com/documents/20143/36005/CMV12000_DS000603_1-00.pdf - https://www.xilinx.com/support/documentation/user_guides/ug473_7Series_Memory_Resources.pdf **Difficulty:** Medium **Mentors:** Bertl To get in touch with any mentor check the [[ https://www.apertus.org/GSoC-2019-Mentor-Contact-List | Mentor Contact List]]. **Notes:** If you do not have access to the required hardware platforms/dev kits, we will provide them (or remote access) to you for the duration of the project.

To apply for this task please complete this mandatory coding challenge together with your application: T871 Applications without matching coding challenge completed will not be considered. Read our Google Summer of Code Overview page: https://wiki.apertus.org/index.php/GSoC_Overview --- Sensor data comes in various configurations and does not always match the desired memory order. The de-serialized data needs to be rearranged and repacked on the fly to provide a compact stream for the memory writers. **Goals:** - Implement remapping strategies for known sensors (CMV12000) - Optimize for low gate count and high throughput - Simulate/Test the re-mapper with test-streams **Prerequisites:** - Dual Memory know how **Language Skills:** - HDL (VHDL, Verilog, nMigen) **Useful Links:** - https://ams.com/cmv12000#tab/documents - https://www.xilinx.com/support/documentation/user_guides/ug473_7Series_Memory_Resources.pdf **Difficulty:** Medium **Mentors:** Bertl To get in touch with any mentor check the [[ https://www.apertus.org/GSoC-2019-Mentor-Contact-List | Mentor Contact List]]. **Notes:** If you do not have access to the required hardware platforms/dev kits, we will provide them (or remote access) to you for the duration of the project.

To apply for this task please complete this mandatory coding challenge together with your application: T871 Applications without matching coding challenge completed will not be considered. Read our Google Summer of Code Overview page: https://wiki.apertus.org/index.php/GSoC_Overview --- Sensor data comes in various configurations and does not always match the desired memory order. The de-serialized data needs to be rearranged and repacked on the fly to provide a compact stream for the memory writers. **Goals:** - Implement remapping strategies for known sensors (CMV12000) - Optimize for low gate count and high throughput - Simulate/Test the re-mapper with test-streams **Prerequisites:** - Dual Memory know how **Language Skills:** - HDL (VHDL, Verilog, nMigen) **Useful Links:** - https://ams.com/documents/20143/36005/CMV12000_DS000603_1-00.pdfcmv12000#tab/documents - https://www.xilinx.com/support/documentation/user_guides/ug473_7Series_Memory_Resources.pdf **Difficulty:** Medium **Mentors:** Bertl To get in touch with any mentor check the [[ https://www.apertus.org/GSoC-2019-Mentor-Contact-List | Mentor Contact List]]. **Notes:** If you do not have access to the required hardware platforms/dev kits, we will provide them (or remote access) to you for the duration of the project.