RISC-V and database performance study
A systems reading of database experiments on an open instruction-set platform, organized so the observations can be publicly discussed rather than left scattered.
For me, databases, compilers, and runtime systems are not separate topics. They converge on a steadier question: how can a system stay interpretable, testable, and transferable once complexity and constraints start to increase together?
Note
“Artificial intelligence makes us think what is artificial and what is intelligence.”
Research threads
- Database optimizer and execution-engine behavior
- Compiler-guided runtime structures for AI deployment
- Experimental reading of open instruction-set platforms
- Interfaces that survive future system changes
Working modes
- Benchmark-driven systems reading
- Compiler/runtime co-design
- Trace-based performance analysis
- Publication-ready experiment documentation
Active projects
Current projects and experimental threads.
Compiler-guided memory layouts
A line studying how compile-time analysis can shape memory organization and latency behavior in edge robotics runtime.
Related publications
Connected publication frames.
These publications are the public-facing slices that already emerged from this research line.