70%+
Bandwidth Utilization
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Technical Whitepaper
GPU SpMV: Technical Whitepaper and Architecture Showcase
Present the CUDA sparse matrix-vector multiplication project as a serious engineering artifact.
4
Adaptive Kernels
CSR + ELL
Sparse Formats
100+
Property Tests
Architecture
Lead with conclusions, then evidence, then implementation
The landing page should help a reader decide quickly whether this project is worth deeper reading.
Highlights
Why this project is strong as a showcase
Because it combines CUDA performance work with engineering discipline, explainability, and documentation quality.
Performance-first
Kernel choice, irregular sparsity behavior, and bandwidth utilization are presented as explicit decisions.
Engineering clarity
The execution pipeline, memory layout, and reliability story are visible without extra process machinery.
Interview-ready narrative
A reviewer can understand the value proposition, evidence chain, and reading path directly from the site.