Parallel C - meaning and definition. What is Parallel C
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What (who) is Parallel C - definition

EXTENSION OF THE C PROGRAMMING LANGUAGE DESIGNED FOR HIGH-PERFORMANCE COMPUTING ON LARGE-SCALE PARALLEL MACHINES
Parallel C

Parallel C         
1. <language, parallel> Never implemented, but influenced the design of C*. [Details?] 2. C for the transputer by 3L. 3. (PC) Extensions to C developed at the {University of Houston} providing a shared memory SIMD model on {message passing} computers. Parallel/Tools/pc.1.1.1.tar.Z">ftp://karazm.math.uh.edu/pub/Parallel/Tools/pc.1.1.1.tar.Z. E-mail: Ridgway Scott <scott@uh.edu>. (1995-03-21)
parallel processor         
  • A graphical representation of [[Amdahl's law]]. The speedup of a program from parallelization is limited by how much of the program can be parallelized. For example, if 90% of the program can be parallelized, the theoretical maximum speedup using parallel computing would be 10 times no matter how many processors are used.
  • Beowulf cluster]]
  • Blue Gene/L]] massively parallel [[supercomputer]]
  • The [[Cray-1]] is a vector processor
  • 1=IPC = 1}}).
  • A graphical representation of [[Gustafson's law]]
  • [[ILLIAC IV]], "the most infamous of supercomputers"<ref name="infamous"/>
  • 1=IPC = 0.2 < 1}}).
  • A logical view of a [[non-uniform memory access]] (NUMA) architecture. Processors in one directory can access that directory's memory with less latency than they can access memory in the other directory's memory.
  • Tesla GPGPU card]]
  • 1=IPC = 2 > 1}}).
  • Taiwania 3 of [[Taiwan]], a parallel supercomputing device that joined [[COVID-19]] research.
PROGRAMMING PARADIGM IN WHICH MANY CALCULATIONS OR THE EXECUTION OF PROCESSES ARE CARRIED OUT SIMULTANEOUSLY
Parallel computer; Parallel processor; Parallel computation; Parallel programming; Parallel Programming; Parallel computers; Concurrent language; Concurrent event; Computer Parallelism; Parallel machine; Concurrent (programming); Parallel architecture; Parallel Computing; Parallelisation; Parallelization; Parallelized; Multicomputer; Parallelism (computing); Parellel computing; Superword Level Parallelism; Parallel programming language; Message-driven parallel programming; Parallel computer hardware; Parallel program; Parallel code; Parallel language; Parallel processing (computing); Multiple processing elements; Parallel execution units; History of parallel computing; Parallel hardware; Parallel processing computer
<parallel> A computer with more than one {central processing unit}, used for parallel processing. (1996-04-23)
Parallel computing         
  • A graphical representation of [[Amdahl's law]]. The speedup of a program from parallelization is limited by how much of the program can be parallelized. For example, if 90% of the program can be parallelized, the theoretical maximum speedup using parallel computing would be 10 times no matter how many processors are used.
  • Beowulf cluster]]
  • Blue Gene/L]] massively parallel [[supercomputer]]
  • The [[Cray-1]] is a vector processor
  • 1=IPC = 1}}).
  • A graphical representation of [[Gustafson's law]]
  • [[ILLIAC IV]], "the most infamous of supercomputers"<ref name="infamous"/>
  • 1=IPC = 0.2 < 1}}).
  • A logical view of a [[non-uniform memory access]] (NUMA) architecture. Processors in one directory can access that directory's memory with less latency than they can access memory in the other directory's memory.
  • Tesla GPGPU card]]
  • 1=IPC = 2 > 1}}).
  • Taiwania 3 of [[Taiwan]], a parallel supercomputing device that joined [[COVID-19]] research.
PROGRAMMING PARADIGM IN WHICH MANY CALCULATIONS OR THE EXECUTION OF PROCESSES ARE CARRIED OUT SIMULTANEOUSLY
Parallel computer; Parallel processor; Parallel computation; Parallel programming; Parallel Programming; Parallel computers; Concurrent language; Concurrent event; Computer Parallelism; Parallel machine; Concurrent (programming); Parallel architecture; Parallel Computing; Parallelisation; Parallelization; Parallelized; Multicomputer; Parallelism (computing); Parellel computing; Superword Level Parallelism; Parallel programming language; Message-driven parallel programming; Parallel computer hardware; Parallel program; Parallel code; Parallel language; Parallel processing (computing); Multiple processing elements; Parallel execution units; History of parallel computing; Parallel hardware; Parallel processing computer
Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time.

Wikipedia

Unified Parallel C

Unified Parallel C (UPC) is an extension of the C programming language designed for high-performance computing on large-scale parallel machines, including those with a common global address space (SMP and NUMA) and those with distributed memory (e. g. clusters). The programmer is presented with a single partitioned global address space; where shared 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.

In order to express parallelism, UPC extends ISO C 99 with the following constructs:

  • An explicitly parallel execution model
  • A shared address space (shared storage qualifier) with thread-local parts (normal variables)
  • Synchronization primitives and a memory consistency model
  • Explicit communication primitives, e. g. upc_memput
  • Memory management primitives

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.