
Worked on core system reliability for sarchlab/mgpusim and sarchlab/akita, focusing on concurrency and memory management in Go. Addressed scheduler barrier synchronization in mgpusim by refining barrier completion handling, which reduced false deadlock detection and improved simulation stability for barrier-heavy workloads. In akita, delivered a targeted fix to the unified memory subsystem, ensuring accurate translation parsing during flush events and refining the TLB flush path to enhance memory management reliability. Both efforts emphasized bug fixing and performance optimization, resulting in more robust system programming foundations and increased confidence in simulation and memory subsystem correctness under demanding workloads.
October 2025 performance summary for sarchlab/akita. Delivered a critical bug fix to the unified memory subsystem, strengthening translation parsing during flush events and stabilizing the TLB flush path. The changes improve memory management accuracy and system reliability under workloads with frequent flushes and TLB activity. This work consolidates reliability and correctness goals for the memory subsystem and reduces the risk of rare translation errors affecting performance and correctness. Commit: 6cafd47b08f127474b5dc3329e808f3e48a7f0f5.
October 2025 performance summary for sarchlab/akita. Delivered a critical bug fix to the unified memory subsystem, strengthening translation parsing during flush events and stabilizing the TLB flush path. The changes improve memory management accuracy and system reliability under workloads with frequent flushes and TLB activity. This work consolidates reliability and correctness goals for the memory subsystem and reduces the risk of rare translation errors affecting performance and correctness. Commit: 6cafd47b08f127474b5dc3329e808f3e48a7f0f5.
March 2025 monthly summary for sarchlab/mgpusim focusing on correctness and stability improvements in barrier synchronization to reduce deadlock risk in the scheduler. The changes enhance reliability for barrier-heavy workloads and improve confidence in simulation results.
March 2025 monthly summary for sarchlab/mgpusim focusing on correctness and stability improvements in barrier synchronization to reduce deadlock risk in the scheduler. The changes enhance reliability for barrier-heavy workloads and improve confidence in simulation results.

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