SV Advanced Computing, LLC
SV Advanced Computing is an independent performance engineering consultancy based in Lafayette, Colorado, specializing in GPU computing, HPC systems, and AI infrastructure optimization.
Founded by Srinath Vadlamani, Ph.D., the practice draws on 15+ years of experience across national laboratories, semiconductor vendors, and enterprise HPC — from exascale system optimization at DOE/NNSA facilities to GPU architecture performance analysis at Arm and HPE.
Principal
Srinath Vadlamani holds a Ph.D. in Applied Mathematics from the University of Colorado Boulder, with a dissertation focus on computational plasma physics and particle-in-cell simulations. His career has spanned the full stack of high-performance computing:
- GPU Computing — Deep expertise in both CUDA and ROCm/HIP ecosystems, including kernel optimization, profiling, and performance analysis across NVIDIA and AMD architectures
- Exascale Systems — Performance engineering on the El Capitan exascale system (DOE/NNSA), optimizing scientific workloads on AMD MI300A GPUs
- Parallel Computing — MPI, OpenMP, NCCL/RCCL communication optimization, multi-node scaling analysis
- Scientific Computing — Plasma physics simulation, PDE solvers, numerical methods at scale
Previous affiliations include Tech-X Corporation, the National Center for Atmospheric Research (NCAR), ParaTools Inc., Arm Inc., and Hewlett Packard Enterprise.
Research Interests
Current investigations focus on the intersection of traditional HPC performance engineering and modern AI workloads:
- AI training framework performance characterization (PyTorch, NeMo, Megatron-Core)
- Inference runtime optimization (vLLM, TRT-LLM, SGLang)
- GPU memory hierarchy analysis and kernel-level optimization
- Custom instrumentation and roofline modeling beyond vendor tools
- Cross-vendor GPU performance comparison (NVIDIA vs. AMD architectures)
Contact
For consulting inquiries, collaboration, or questions about published research:
Email: svac_llc@pm.me