Berkeley UPC is the first UPC implementation available for Mac OS X, and delivers competetive performance for supercomputing applications on the largest OS X clusters in the world, yet also provides support for UPC code development on Mac OS X laptops and desktop workstations. Abstract: Unified Parallel C (UPC) is a programming model for shared-memory parallel computing on shared- and distributed-memory systems. UPC combines the programmability advantages of the shared memory programming paradigm and the control over data layout and performance of the message passing programming paradigm.īerkeley UPC is a high-performance, portable and fully open-source implementation of the UPC language designed for large-scale multiprocessors, PC clusters, and clusters of shared memory multiprocessors. Synchronization primitives and a memory consistency model Unified Parallel C (UPC) is an extension of the C programming language designed for high performance computing on large-scale parallel machines.In order to express parallelism, UPC extends ISO C 99 with the following constructs: UPC uses a Single Program Multiple Data (SPMD) model of computation in which the amount of parallelism is fixed at program start-up time, typically with a single thread of execution per processor. The programmer is presented with a single shared, partitioned address space, where variables may be directly read and written by any processor, but each variable is physically associated with a single processor. The language provides a uniform programming model for both shared and distributed memory hardware. to hide the underlying related memory consistency model for an optimizing. Berkeley UPC is an extension of the C programming language designed for high performance computing on large-scale parallel machines. This paper describes the translator component of the Berkeley UPC Compiler.
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