A Key-based Adaptive Transactional Memory Executor

Software transactional memory systems enable a programmer to easily write concurrent data structures such as lists, trees, hashtables, and graphs, where non-conflicting operations in parallel. Many of these structures take the abstract form of a dictionary, in which each transaction is associated with a search key. By regrouping transactions based on their keys, one may improve locality and reduce conflicts among parallel transactions. In this paper, we present an executor that partitions transactions among available processors. Our key-based adaptive partitioning monitors incoming transactions, estimates the probability distribution of their keys, and adaptively determines the (usually nonuniform) partitions. By comparing the adaptive partitioning with uniform partitioning and round-robin keyless partitioning on a 16-processor SunFire 6800 machine, we demonstrate that key-based adaptive partitioning significantly improves the throughput of fine-grained parallel operations on conc...

• Type: Conference
• Year: 2007
• Where: IPPS
• Authors: Tongxin Bai, Xipeng Shen, Chengliang Zhang, William N. Scherer III, Chen Ding, Michael L. Scott
• Keywords: Adaptive Partitioning, Concurrent Data Structures, Distributed And Parallel Computing, IPPS 2007, Key-based Adaptive Partitioning