Syed W. Ali Website

Asymptotically Optimal Multiprocessor Real-Time Locking for non-JLFP Scheduling

Authors: Zelin Tong, Syed W. Ali, James H. Anderson

Proceedings of the 31st IEEE Real-Time and Embedded Technology and Applications Symposium, May 2025

To appear.

On the Necessity of Real-Time Principles in GPU-Driven Autonomous Robots

Authors: Syed W. Ali, Angelos Angelopoulos, Denver Massey, Sarah Haddix, Alexander Georgiev, Joseph Goh, Rohan Wagle, Prakash Sarathy, James H. Anderson, Ron Alterovitz

Proceedings of the 2025 IEEE International Conference on Robotics and Automation (ICRA), March 2025

To appear.

Concurrent FFT Execution on GPUs in Real-Time

Authors: Syed W. Ali, Joseph Goh, Samarjit Chakraborty, James H. Anderson

Proceedings of the 33rd Euromicro International Conference on Parallel, Distributed and Network-Based Processing, March 2025

To appear.

Predictable GPU Sharing in Component-Based Real-Time Systems

Authors: Syed W. Ali, Zelin Tong, Joseph Goh, James H. Anderson

In Proceedings of the 36th Euromicro Conference on Real-Time Systems (ECRTS) July, 2024

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Abstract: This paper presents a real-time locking protocol whose design was motivated by the goal of enabling safe GPU sharing in time-sliced component-based systems. This locking protocol enables a GPU to be shared concurrently across, and utilized within, isolated components with predictable execution times. It relies on a novel resizing technique where GPU work is dimensioned on-the-fly to run on partitions of an NVIDIA GPU. This technique can be applied to any component that internally utilizes global CPU scheduling. The proposed locking protocol enables increased GPU parallelism and reduces GPU capacity loss with analytically provable benefits.