March 2026 monthly summary for AMD-AGI/Primus focused on delivering a reproducible benchmarking workflow for RCCL on DCGPU clusters, enabling standardized performance testing and streamlined QA. Key feature delivered: Slurm-based RCCL benchmarking automation on DCGPU clusters, including Slurm scripts that run RCCL benchmarks and produce accessible validation data for users and internal QA. The change is captured in commit bdc45326ccbc940e4422819d04eded36cb42d415 ("Benchmark: [DCGPU] Slurm script for rccl benchmarking"), co-authored by Joyce Zhang and Xiaoming Peng. A DCGPU usage example was added to the documentation, illustrating how to execute the benchmark with DOCKER_IMAGE, NNODES, and sbatch configuration. This work established a reproducible, scalable benchmarking workflow and strengthened QA. Major bugs fixed: None reported this month. Overall impact and accomplishments: Enabled fast, repeatable RCCL performance measurements across DCGPU clusters, accelerating validation, benchmarking cycles, and performance investigations. Improved data quality and trust in RCCL results for both external users and internal QA teams. Strengthened collaboration across teams to implement cluster-specific benchmarking capabilities. Technologies/skills demonstrated: Slurm workload manager, RCCL, ROCm, Docker (rocm/primus), Slurm scripting, Bash, CI/QA practices, cross-team collaboration, and documentation.

January 2026: Delivered container deployment enhancement for AMD-AGI/Primus by enabling HIPBLASLT environment variable pass-through in Docker, improving deployment flexibility, reproducibility, and GPU-accelerated workload readiness. The change ensures HIPBLASLT env vars are correctly forwarded to containers, aligning container behavior with host configurations and reducing manual setup steps for users.