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### Phase Reconciliation for Contended In-Memory Transactions  - OSDI'14, Neha Narula, Robert Morris (MIT CSAIL)  - Doppel: multicore, in-memory key/value store  - Split hot keys, allow a handful of commutative operations on them  - Periodically recombine split keys and allow non-commutative ops on them  - *Weaknesses*  - a couple ad-hoc commutative operations, no broader theory about which operations to allow, etc.  - only for key/value store kinds of workloads  - not sure if it works for multi-key transactions  - *Benchmarks/workloads*  - Social network "Like"s (keep track of count of likes as they come in)  - RUBiS auction website (7 tables, 26 interactions)  ### Enhancing Concurrency in DTM through Commutativity   - EuroPar'13, Junwhan Kim, Roberto Palmieri, Binoy Ravindran  - Commutative requests first (CRF)  - HyFlow: Scala DTM framework  - *Benchmarks:* TPC-C, linked-list, skip-list  ### Commutativity-based concurrency control for abstract data types  - W. Weihl, *IEEE Transactions on Computers*, 1988.  ### Transactional boosting  - PPoPP'08, Maurice Herlihy, Eric Koskinen  - abstract locks  ### Concurrent libraries with foresight  - PLDI'13, Mooly Sagiv  - Composing atomic library operations (e.g. operations on synchronized data structures)  - "atomic composite operations": restricted form of transaction