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Awesome GitHub RepositoriesBatch Processing Accelerators
SIMD instructions applied to vectorized data chunks for accelerating arithmetic, aggregation, and hash-table operations.
Distinct from SIMD-Accelerated Arithmetic: Distinct from SIMD-Accelerated Arithmetic: focuses on accelerating batch processing of vectorized data chunks rather than individual arithmetic operations.
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Awesome Batch Processing Accelerators GitHub Repositories
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- oceanbase/miniob
oceanbase/miniob
4,318GitHub पर देखेंMiniOB is an open-source educational relational database kernel designed for learning the internals of database systems. It implements a dual-engine storage architecture combining B+ Tree and LSM-Tree, supports SQL parsing and query execution, and provides transactional processing with multi-version concurrency control. The system communicates with clients using the MySQL wire protocol and includes a vector database extension for storing and querying high-dimensional vectors. The project distinguishes itself through its comprehensive coverage of core database concepts in a single, learnable c
Use single-instruction-multiple-data instructions to speed up arithmetic, aggregation, and hash-table lookups on vectorized data.
C++classroomcplusplusdatabase
