Transactional Memory Systems and Concurrency Control
Summary
Transactional memory systems aim to simplify the development of correct and efficient parallel software by treating sequences of reads and writes to shared memory as transactions. Similar to database transactions, they ensure atomicity, consistency, isolation and durability of memory operations without explicit locks. Concurrency control in this context comprises mechanisms to detect and resolve conflicts among simultaneous transactions, deploying either optimistic strategies—where operations proceed speculatively and roll back upon conflict—or pessimistic strategies—where access is sequentially ordered to prevent interference. Hardware implementations embed transactional support at the processor level to exploit low-latency caches and speculative execution, while software approaches use language-level constructs or libraries to mediate access. Recent advances have focused on reducing transaction aborts under contention, improving scalability across many-core architectures and extending support to distributed and enterprise applications. Practical applications range from high-performance computing and virtualisation to enterprise service orchestration and cloud databases, reflecting the global imperative for robust yet flexible concurrency control in an era of ever-increasing parallelism.
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Transactional Memory Systems and Concurrency Control publication trend
The graph below shows the total number of articles in transactional memory systems and concurrency control across all publications each year (not limited to Nature Index journals).
Technical terms
Transactional Memory: A concurrency control abstraction that groups memory operations into atomic transactions, simplifying parallel programming by avoiding explicit locks.
Optimistic Concurrency Control: A conflict resolution strategy where transactions proceed without prior locking and roll back if interference is detected.
Pessimistic Concurrency Control: A strategy that prevents conflicts by acquiring locks or reservations before accessing shared resources.
Abort: The cancellation and rollback of a transaction’s effects when a conflict or resource limitation is detected.
Speculative Execution: The process of executing instructions or transactions ahead of confirmation that they will not interfere, improving utilisation of processor resources.
Serializability: A correctness criterion ensuring that the outcome of concurrent transactions matches that of some serial execution order.
References
- On the interactions between ILP and TLP with hardware transactional memory. Microprocessors and Microsystems (2024).
- Fundamentals of Transaction Management in Enterprise Application Architectures. IEEE Access (2022).
- Atomic RMI: A Distributed Transactional Memory Framework. International Journal of Parallel Programming (2015).
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