- GPU kernel optimization and low-level performance engineering
- Model quantization and precision-efficient inference
- Boston
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09:54
(UTC -04:00) - https://ramshankar07.github.io/portfoliov3/index.html
- in/ramshankarb
- https://ramshankar07.substack.com/
Highlights
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CUDA-llama3.1-inference
CUDA-llama3.1-inference PublicThis repository is CUDA implementation for LLAMA 3.1 open models
Cuda 2
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qwen600-ROCm-inference
qwen600-ROCm-inference PublicForked from yassa9/qwen600
Static suckless single batch qwen3-0.6B mini inference engine
C++ 1
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Fintech-Data-Processing-ETL-Platform
Fintech-Data-Processing-ETL-Platform PublicAssignment 02 for the course work DAMG7245-Spring 2025
Jupyter Notebook
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Parallelizing-Text-to-Image-Generation
Parallelizing-Text-to-Image-Generation PublicExplore the feasibility and performance characteristics of using multiple CPUs versus GPUs for preprocessing tasks in text-to-image generation pipelines. Compare speedup, efficiency, and cost to id…
Jupyter Notebook 1
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