MapReduce has been prevalent for running data-parallel applications. By hiding other non-functionality parts such as parallelism, fault tolerance and load balance from programmers,...
Shengkai Zhu, Zhiwei Xiao, Haibo Chen, Rong Chen, ...
- Many memory-sensitive embedded applications can tolerate small performance degradations if doing so can reduce the memory space requirements significantly. This paper explores th...
This paper proposes and evaluates APIs for Inter-Core Time Aggregation Scheduler (IAS), which is a kernel-level thread scheduler to enhance performances of multi-threaded programs ...
Transactional Memory (TM) simplifies parallel programming by supporting atomic and isolated execution of user-identified tasks. To date, TM programming has required the use of l...
Woongki Baek, Chi Cao Minh, Martin Trautmann, Chri...
This paper proposes a simple and efficient implementation method for a hierarchical coarse grain task parallel processing scheme on a SMP machine. OSCAR multigrain parallelizing c...