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The power of SIMDs vs. MIMDs in real-time scheduling

Mingxian Jin, J.W. Baker, W.C. Meilander
2002 Proceedings 16th International Parallel and Distributed Processing Symposium  
SIMDs and MIMDs are the most important categories of computer systems for parallel computing in Flynn's classification scheme.  ...  Two abstract parallel computation models, the ASC and BSP models that represent SIMDs and MIMDs respectively, are used in our discussion and analysis.  ...  Since all data are stored in the local memory of individual PEs, data is loaded into the PEs in parallel for computations. A data item can be broadcast to one or more PEs in one step.  ... 
doi:10.1109/ipdps.2002.1016671 dblp:conf/ipps/JinBM02 fatcat:zbx222oicveuza4r3gftnfcinq

Teaching tools for parallel processing

Emina Milovanovic, Natalija Stojanovic
2005 Facta universitatis - series Electronics and Energetics  
Parallaxis is a sophisticated SIMD simulator which runs on a variety of platforms.jBACI shared memory simulator supports the MIMD model of computing with a common shared memory.PVM and MPI allow students  ...  Free software is available to support the three major paradigms of parallel computing.  ...  Programs that are written for SIMD computers usually operate on single data elements, like array elements.  ... 
doi:10.2298/fuee0502219m fatcat:2i5j75dgsfa2xjny6lwkp2fu2i

Page 113 of Journal of Research and Practice in Information Technology Vol. 20, Issue 3 [page]

1988 Journal of Research and Practice in Information Technology  
They contain a number of processors each executing their own programs on their own data sets. Processors are interconnected to allow programs to exchange data and synchronise activities.  ...  Given the resources, the project has concentrated on a particular parallel model of computation called dataflow.  ... 

Experimental analysis of a mixed-mode parallel architecture using bitonic sequence sorting

Samuel A. Fineberg, Thomas L. Casavant, Howard Jay Siegel
1991 Journal of Parallel and Distributed Computing  
This computation was mapped to both the SIMD and MIMD modes of parallelism, as well as to two hybrids of the SIMD and MIMD modes.  ...  The results are used to gain insight into the impact of computation mode on synchronization and data-conditional aspects of system performance.  ...  their MIMD program counters; i.e., the computation mode remains MIMD).  ... 
doi:10.1016/0743-7315(91)90048-e fatcat:qojxdu2ianh7dmqgq6kfggrmly

An Optimized Parallel Hybrid Architecture for Cryptocurrency Mining

Allenotor D., Department of Computer Science Federal University of Petroleum Resources Effurun (FUPRE) Effurun, Delta State, Nigeria E-mails: allenotor.david@fupre.edu.ng, D. A. Oyemade, oyemade.david@fupre.edu.ng
2021 Advances in Multidisciplinary & Scientific Research Journal Publication  
The novelty of our architecture is that our design is based on high performance computing paradigm where we achieve processor speed up by parallelizing the number of processors p.  ...  A. (2021): An Optimized Parallel Hybrid Architecture for Cryptocurrency Mining. Computing, Information Systems, Development Informatics & Allied Research Journal.  ...  This will make each processor execute different programs on different data independently giving it an edge over SIMD computers. The processors in MIMD operates by sending data in one direction.  ... 
doi:10.22624/aims/cisdi/v12n1p10 fatcat:dmax2vkocbeorlili5xxn6alxy

Project Triton: Towards Improved Programmability of Parallel Computers [chapter]

Michael Philippsen, Thomas M. Warschko, Walter F. Tichy, Christian G. Herter, Ernst A. Heinz, Paul Lukowicz
1994 The Interaction of Compilation Technology and Computer Architecture  
Triton/1 Parallel Architecture. Triton/1 is a scalable mixed-mode SIMD/MIMD parallel computer with a highly e cient communications network.  ...  The main objective of Project Triton is adequate programmability of massively parallel computers.  ...  Thus, the distribution of code is, in contrast to many other MIMD machines, Data Transfer There are several di erent data paths to consider in parallel computers.  ... 
doi:10.1007/978-1-4615-2684-1_10 fatcat:dwspumwicjcmdgqcy5a5dcnaze

Mapping computer-vision-related tasks onto reconfigurable parallel-processing systems

H.J. Siegel, J.B. Armstrong, D.W. Watson
1992 Computer  
, multiple data) or MIMD (multiple instruction, multiple data) mode of parallelism (see the sidebars) and can dynamically switch between modes at instruction-level granularity with generally negligible  ...  As the size, hardware complexity, and programming diversity of parallel systems continue to evolve, the range of alternatives for implementing a parallel task on these systems grows.  ...  H e is coeditor-in-chief of The Journal of Parallel and Distributed Computing and program chair of Frontiers 92, the Fourth Symposium on the Frontiers of Massively Parallel Computation.  ... 
doi:10.1109/2.121475 fatcat:g7xrpkwy5rh3laant6qe6fmo4a

Suitability of GCM Physics for Execution on SIMD Parallel Computers
SIMD並列計算機でのGCM物理過程の実行適合性について

Leon Rotstayn, Rhys Francis, David Abramson, Martin Dix
1993 Journal of the Meteorological Society of Japan  
This paper summarizes the results obtained for the various physics routines and compares these with the efficiencies obtained under the assumption of MIMD (Multiple Instruction stream, Multiple Data stream  ...  A possible path to the teraflop performance that will be required by the next generation of GCMs (general circulation models) is the SIMD (Single Instruction stream, Multiple Data stream) massively parallel  ...  The High Performance Computation Program is a joint program between the CSIRO Division of Information Technology and The Royal Melbourne Institute of Technology.  ... 
doi:10.2151/jmsj1965.71.2_297 fatcat:avufcypterec3oyosbb4gk4gii

Parallel supercomputing in MIMD architectures R. Michael Hord (ed.)

1994 Journal of Computational and Applied Mathematics  
Piessens Parallel Super-computing in MIMD Archi- tectures R. Michael Hord (ed.)  ...  However, this does not detract from the book's value and it is clearly a welcome addition to the growing literature on parallel computing.  ... 
doi:10.1016/0377-0427(94)90369-7 fatcat:le54lhyp2naexlxifujqqtqraq

Aspects of computational mode and data distribution for parallel range image segmentation

Nicholas Giolmas, Daniel W. Watson, David M. Chelberg, Peter V. Henstock, June Ho Yi, Howard Jay Siegel
1999 Parallel Computing  
number of network settings by one half.  ...  Novel implementations that consider each data distribution's treatment of edge pixels in window operations yield a trade-o between the number of data transfers versus the amount of computation.  ...  A preliminary version of portions of this study was presented at the Sixth International Parallel Processing Symposium.  ... 
doi:10.1016/s0167-8191(99)00007-1 fatcat:aq47hwu7krbjjlcefskwrkc7ty

Modern Fortran as the Port of Entry for Scientific Parallel Computing

Bill Celmaster
1996 Computing in High Energy Physics '95  
Several casestudies are examined showing how the distributed-memory extensions (High Performance Fortran) are used both for data parallel and MIMD (multiple instruction multiple data) algorithms.  ...  One example of a low-latency network is Digital's Memory ChannelTM cluster interconnect with HPF latencies on the order of 10 microseconds.  ...  Several case-studies follow which illustrate both the data parallel and the MIMD style of programming.  ... 
doi:10.1142/9789814447188_0110 fatcat:zgetmnukpnd5ppcwtnmwm6t3ia

Multiple Instruction Multiple Data (MIMD) Implementation on Clusters of Terminals

2016 International Journal of Science and Research (IJSR)  
The design process is parallel processing implementation on clusters of terminals using Java RMI.  ...  Here we present the basic solution by Multiple instruction stream and multiple data stream(MIMD) architecture for solving large complex problem.  ...  I wish to place on my record my deep sense of gratitude to all reference papers authors for them valuable help through their papers, books, websites etc.  ... 
doi:10.21275/v5i1.nov153204 fatcat:otzcjwsa6nf2lbh4mlzzftpdye

Parallel Architectures [chapter]

Kevin Rudd
2014 Computing Handbook, Third Edition  
An array processor has many processor elements operating in parallel on many data elements. A vector processor has a single processor element that operates in sequence on many data elements.  ...  Using a model based on the different streams used in the computation process, we represent some of the different kinds of parallelism available.  ... 
doi:10.1201/b16812-27 fatcat:qvia7hgfuzgehf4kojuzmzuwd4

Parallel architectures

Michael J. Flynn, Kevin W. Rudd
1996 ACM Computing Surveys  
An array processor has many processor elements operating in parallel on many data elements. A vector processor has a single processor element that operates in sequence on many data elements.  ...  Using a model based on the different streams used in the computation process, we represent some of the different kinds of parallelism available.  ... 
doi:10.1145/234313.234345 fatcat:7arwoxtvxrb6tignq7qvprxwbq

Parallel Architectures [chapter]

2013 Encyclopedia of Systems Biology  
An array processor has many processor elements operating in parallel on many data elements. A vector processor has a single processor element that operates in sequence on many data elements.  ...  Using a model based on the different streams used in the computation process, we represent some of the different kinds of parallelism available.  ... 
doi:10.1007/978-1-4419-9863-7_101096 fatcat:ha4ft2y3ejaohgytuldaf5knmu
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