Abstract
In this presentation, we survey the use of advanced hard-ware features for optimizing main-memory database systems in the context of our HyPer project. The access behavior of database objects from simultaneous OLTP transactions is monitored using the virtual memory management component in order to compact the database into hot and cold partitions. The cold partitions are stored in compressed data blocks. Decompression is expedited by vectorized SIMD scan processing. Utilizing many-core NUMA-organized database servers is facilitated by the morsel-driven adaptive parallelization and partitioning that guarantees data locality w.r.t. the processing core. The most recent Hardware Transactional Memory support of, e.g., Intel's Haswell processor, can be used as the basis for a lock-free concurrency control scheme for OLTP transactions. Finally, we show how heterogeneous processors of “wimpy” devices such as tablets can be utilized for high-performance and energy-efficient query processing. This is joint work with my colleague Thomas Neumann at TUM and the HyPer team (hyper-db.com).
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