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City Tucson / Optimistic Marked / Schema Null / / Company IBM / / Country United States / / Currency USD / / IndustryTerm highlyconcurrent algorithms / tool find algorithms / concurrent set algorithms / explicit memory management / incorrect algorithm / search procedure / similar algorithm / concurrent queue algorithms / mutual exclusion algorithms / queue algorithm / software transactional memory / optimistic search / concurrent algorithms / correct algorithm / sequential algorithm / blind search / least atomic algorithm / combinatorial search / appropriate algorithm / search part / linearizable algorithms / For simpler algorithms / fine-grained algorithms / bruteforce search / candidate algorithms / concurrent algorithm / search space / concurrent set algorithm / naive solution / lock-free set algorithm / / Organization U.S. Securities and Exchange Commission / / Person Ci / / Position ∧mp / hB / mp / General / designer / garbage collector / pair hB / tail head / head tail head / programmer / / ProvinceOrState Arizona / / Technology correct algorithm / candidate algorithms / Concurrent Set Algorithms The algorithm / working algorithm / tool find algorithms / For simpler algorithms / concurrent algorithm / set algorithms / concurrent set algorithm / concurrent queue algorithms / concurrent GC algorithms / 6 algorithms / 4.4 Adapting Set Algorithms / mutual exclusion algorithms / lock-free set algorithm / Treiber algorithm / previous algorithm / sequential algorithm / existing algorithm / incorrect algorithm / fine-grained algorithms / resulting algorithm / appropriate algorithm / set algorithm / lock-free FIFO queue algorithm / derived algorithms / similar algorithm / concurrent set algorithms / least atomic algorithm / sequential consistency / Fig.2 CAS/DCAS CAS/DCAS CAS CAS/DCAS CAS Schema Automated search Algorithm / 4.3 Adding Coordination Metadata The Null-based algorithms / highlyconcurrent algorithms / /
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Deriving Linearizable Fine-Grained Concurrent Objects Martin Vechev Eran Yahav IBM Research