Unsaid LLVM Query Processing depends on predictive CPU architecture, any inefficiency exposes security flaws in x86 (Meltdown and Spectre vulnerabilities) dealt with by limiting LLVM. We posit this strategy may impact Arc giving rise to "The Curse of Catalina" in MacOS Darwin (MacOS Slow by Design).
We wonder when Apple moves Darwin to ARM, what does this mean for others?
> Nearly all database systems will exploit multi-core architectures for inter-query parallelism, but as the number of cores available on modern CPUs increases,intra-query parallelism becomes more important.
YOUTUBE ws9TwXesv-M 2017 EuroLLVM Developers’ Meeting: Markus Eble, SAP “6 years integrating LLVM into our in-memory database"
> In principle this is a well studied problem and is usually solved by partitioning the input of operators, processing each partition independently, and then merging the results from all partitions.
Thomas Neumann, Technische University, Munich, Germany is expert in Efficiently Compiling Efficient Query Plans for Modern Hardware, we look at his paper
Indexing Highly Dynamic Hierarchical Data paper
On Supporting Hierarchical Data in Relational Main-Memory Database Systems. Jan Peter Finis Thesis
Integrating LLVM [into ABAP] deck
L from Llang page
Volcano processing - Goetz Graefe pdf
A coda we are interested in how Intel is extending its dominant architecture by way of blockchain technologies and Private Data Objects