Some of the research findings from these areas of work can be found on our publications page. It provides a high-level API that abstracts concurrent task management details Is a simple and effective way of adding task parallelism to SPMD programs. In order to help find and correct data races,ĭeadlocks and other programming errors, we are working on Active Testing: UPC programs can have classes of bugs not possible inĪ programming model such as MPI.Space model is especially appropriate when the communication is asynchronous. This effort will also allow us to determine the potential for optimizationsĪpplications with fine-grained data sharing benefit from the lightweightĬommunication that underlies UPC implementations, and the shared address Targeting problems with irregular computation and communication patterns. To demonstrate the features of the UPC language and compilers, especially Application benchmarks: The group is working on benchmarks and applications.Of shared pointer manipulation when accesses are known to be local. We are also examining optimizations based on avoiding the overhead Or a shared array with 'indefinite' blocksize (i.e., existing entirely on one Programmer uses either the default, cyclic block layout for distributed arrays, We are implementing optimizations for the common special cases in UPC where a "relaxed " consistency semantics, which can be exploited by the compiler to hideĬommunication latency by overlapping communications with computation and/or UPC allows programmers to specify memory accesses with ![]() Network communication, aggregate communication into more efficient bulk Is working on developing communication optimizations to mask the latency of
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