GEMs: shared-memory parallel programming for Node.js
نویسندگان
چکیده
منابع مشابه
Parallel Logic Programming Ondistributed Shared Memory
This paper presents an implementation of a parallel logic programming system on a distributed shared memory(DSM) system. Firstly, we give a brief introduction of Andorra-I parallel logic programming system implemented on multi-processors. Secondly, we outline the concurrent programming environment provided by a distributed shared memory system{TreadMarks. Thirdly, we discuss the implementation ...
متن کاملGSHMEM: A Portable Library for Lightweight, Shared-Memory, Parallel Programming
As parallel computer systems evolve to address the insatiable need for higher performance in applications from a broad range of science domains, and exhibit ever deeper and broader levels of parallelism, the challenge of programming productivity comes to the forefront. Whereas these systems (and, in some cases, devices) are often constructed as distributed-memory architectures to facilitate eas...
متن کاملA Comparison Of Shared Memory Parallel Programming Models
The dominant parallel programming models for shared memory computers, Pthreads and OpenMP, are both thread-centric in that they are based on explicit management of tasks and enforce data dependencies and output ordering through task management. By comparison, the Cray XMT programming model is data-centric where the primary concern of the programmer is managing data dependencies, allowing thread...
متن کاملChapter 7 - Troubleshooting Using OpenMP : Portable Shared Memory Parallel Programming
OpenMP has several safety nets to help avoid this kind of bug. But OpenMP cannot prevent its introduction, since it is typically a result of faulty use of one of the directives. For example it may arise from the incorrect parallelization of a loop or an unprotected update of shared data. In this section we elaborate on this type of error, commonly known as a data race condition. This is sometim...
متن کاملScalable Shared Memory Parallel Programming: Will One Size Fit All?
In recent years, there has been much emphasis on improving the productivity of high-end parallel programmers. Efforts to design very large-scale platforms have focused on global address space machines that are capable of concurrently executing many thousands of threads. As a result, new higher level shared memory programming models have been proposed that are intended to reduce the programming ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM SIGPLAN Notices
سال: 2016
ISSN: 0362-1340,1558-1160
DOI: 10.1145/3022671.2984039