Icon of program: Berkeley UPC

Berkeley UPC for Mac

Download now

Used Berkeley UPC for Mac?

Berkeley UPC Analysis

AI Assisted Content ·

Not written by CNET Staff.

Berkeley UPC is a free parallel programming tool designed for Mac users, enabling efficient development of parallel applications. It is based on the Unified Parallel C (UPC) language, which extends C for parallel computing, allowing developers to write scalable and high-performance applications. This tool is particularly beneficial for developers working on large-scale scientific and engineering problems, as it simplifies the complexity of parallel programming.

Top Recommended Alternative

The program offers a range of features, including support for shared memory and distributed memory architectures, making it versatile for different computing environments. Berkeley UPC provides extensive documentation and example codes to assist users in understanding its functionalities. With its focus on performance and ease of use, Berkeley UPC serves as a valuable resource for developers looking to harness the power of parallel computing on the Mac platform.

Enlarged image for Berkeley UPC
Berkeley UPC 0/1
Icon of program: Berkeley UPC

Berkeley UPC for Mac

Download now

Used Berkeley UPC for Mac?

Explore More

Full Specifications

GENERAL
Release
Latest update
Version
2020.4.0
OPERATING SYSTEMS
Platform
Mac
Operating System
Mac OS X
Additional Requirements
  • macOS Mojave
  • macOS High Sierra
  • macOS Sierra
  • OS X El Capitan
  • OS X Yosemite
  • OS X Mavericks
  • OS X Mountain Lion
  • XCode
POPULARITY
Total Downloads
711
Downloads Last Week
0
Report Software

Program available in other languages

Last Updated

Developer’s Description

By Lawrence Berkeley National Laboratory
Extension of the C programming language designed for high performance, parallel computing.
Unified Parallel C (UPC) is an extension of the C programming language designed for high performance computing on large-scale parallel machines.The language provides a uniform programming model for both shared and distributed memory hardware. 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. UPC uses a Single Program Multiple Data (SPMD) model of computation in which the amount of parallelism is fixed at program startup time, typically with a single thread of execution per processor.

The UPC language evolved from experiences with three other earlier languages that proposed parallel extensions to ISO C 99: AC , Split-C, and Parallel C Preprocessor (PCP). UPC is not a superset of these three languages, but rather an attempt to distill the best characteristics of each. 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.

Download.com
Your review for Berkeley UPC
Download.com

AI Assisted Content Disclosure

Content created and reviewed by Softonic with information obtained from Lawrence Berkeley National Laboratory, using AI.

CNET's editorial team was not involved in the creation of this content. Opinions, analysis and reviews were not provided by CNET.