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PVM

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.
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

Wikipedia

Parallel Virtual Machine

Parallel Virtual Machine (PVM) is a software tool for parallel networking of computers. It is designed to allow a network of heterogeneous Unix and/or Windows machines to be used as a single distributed parallel processor. Thus large computational problems can be solved more cost effectively by using the aggregate power and memory of many computers. The software is very portable; the source code, available free through netlib, has been compiled on everything from laptops to Crays.

PVM enables users to exploit their existing computer hardware to solve much larger problems at less additional cost. PVM has been used as an educational tool to teach parallel programming but has also been used to solve important practical problems. It was developed by the University of Tennessee, Oak Ridge National Laboratory and Emory University. The first version was written at ORNL in 1989, and after being rewritten by University of Tennessee, version 2 was released in March 1991. Version 3 was released in March 1993, and supported fault tolerance and better portability.

PVM was a step towards modern trends in distributed processing and grid computing but has, since the mid-1990s, largely been supplanted by the much more successful MPI standard for message passing on parallel machines. PVM is free software, released under both the BSD License and the GNU General Public License.