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Developers can also choose between increasing concurrency in applications (horizontal), or larger memory allocation (vertical), or both.
Gou explodes the freedom to control concurrency in MapReduce in order to improve resource utilization.
We present a concurrency model that allows reasoning about concurrency in executable specifications of streaming applications.
We use the model and tool to optimize the concurrency in a number of multimedia applications.
Locking, optimistic protocols, and Snapshot Isolation are some of the possible techniques used to ensure concurrency in databases.
The exploitation of optimistic concurrency in modern multicore architectures via Transactional Memory (TM) is becoming a mainstream programming paradigm.
Applications need to display a high degree of concurrency in order to effectively utilize the available resources.
The method reveals insights into the process structure, optimum sequence of parameter decisions, iterative cycles and concurrency in the process.
In this chapter many different classes of structure are presented, each exploiting concurrency in its own particular way.
Synchronous programming models capture concurrency in the computation quite naturally, especially in its data-flow multi-clock (polychronous) flavor.
The explosion of hardware concurrency in multi-core processors requires the development of efficient parallel software that attains a significant fraction of the platform peak performance.
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