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  • 1
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    Generalized speculative computation of parallel simulated annealing (1996)
    Springer
    Details
    Publication Date: 1996-02-01
    Print ISSN: 0254-5330
    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
    Published by Springer
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    PAPER CURRENT
  • 2
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    COX-2 Inhibition and Inhibition of Cytosolic Phospholipase A2 Increase CD36 Expression and Foam Cell Formation in THP-1 Cells (2010)
    Springer
    Details
    Publication Date: 2010-12-22
    Print ISSN: 0024-4201
    Electronic ISSN: 1558-9307
    Topics: Biology , Chemistry and Pharmacology
    Published by Springer
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    PAPER CURRENT
  • 3
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    Dynamic Load Balancing for Finite Element Calculations on Parallel Computers (1994)
    In:  Other Sources
    Details
    Publication Date: 2019-07-18
    Description: Computational requirements of full scale computational fluid dynamics change as computation progresses on a parallel machine. The change in computational intensity causes workload imbalance of processors, which in turn requires a large amount of data movement at runtime. If parallel CFD is to be successful on a parallel or massively parallel machine, balancing of the runtime load is indispensable. Here a frame work is presented for dynamic load balancing for CFD applications, called Jove. One processor is designated as a decision maker Jove while others are assigned to computational fluid dynamics. Processors running CFD send flags to Jove in a predetermined number of iterations to initiate load balancing. Jove starts working on load balancing while other processors continue working with the current data and load distribution. Jove goes through several steps to decide if the new data should be taken, including preliminary evaluate, partition, processor reassignment, cost evaluation, and decision. Jove running on a single SP2 node has been completely implemented. Preliminary experimental results show that the Jove approach to dynamic load balancing can be effective for full scale grid partitioning on the target machine SP2.
    Keywords: Computer Programming and Software
    Type: 7th SIAM Conference on Parallel Processing; Feb 15, 1994 - Feb 17, 1994; San Francisco, CA; United States
    Format: text
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    NASA TECHNICAL REPORTS
  • 4
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    Dynamic Load Balancing For Grid Partitioning on a SP-2 Multiprocessor: A Framework (1994)
    In:  Other Sources
    Details
    Publication Date: 2019-07-18
    Description: Computational requirements of full scale computational fluid dynamics change as computation progresses on a parallel machine. The change in computational intensity causes workload imbalance of processors, which in turn requires a large amount of data movement at runtime. If parallel CFD is to be successful on a parallel or massively parallel machine, balancing of the runtime load is indispensable. Here a framework is presented for dynamic load balancing for CFD applications, called Jove. One processor is designated as a decision maker Jove while others are assigned to computational fluid dynamics. Processors running CFD send flags to Jove in a predetermined number of iterations to initiate load balancing. Jove starts working on load balancing while other processors continue working with the current data and load distribution. Jove goes through several steps to decide if the new data should be taken, including preliminary evaluate, partition, processor reassignment, cost evaluation, and decision. Jove running on a single IBM SP2 node has been completely implemented. Preliminary experimental results show that the Jove approach to dynamic load balancing can be effective for full scale grid partitioning on the target machine IBM SP2.
    Keywords: Computer Systems
    Type: 9th International Parallel Processing Symposium; Apr 25, 1995 - Apr 28, 1995; Santa Barbara, CA; United States
    Format: text
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    NASA TECHNICAL REPORTS
  • 5
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    Dynamic Load Balancing for Grid Partitioning on a SP-2 Multiprocessor: A Framework (1994)
    In:  Other Sources
    Details
    Publication Date: 2019-07-18
    Description: Computational requirements of full scale computational fluid dynamics change as computation progresses on a parallel machine. The change in computational intensity causes workload imbalance of processors, which in turn requires a large amount of data movement at runtime. If parallel CFD is to be successful on a parallel or massively parallel machine, balancing of the runtime load is indispensable. Here a framework is presented for dynamic load balancing for CFD applications, called Jove. One processor is designated as a decision maker Jove while others are assigned to computational fluid dynamics. Processors running CFD send flags to Jove in a predetermined number of iterations to initiate load balancing. Jove starts working on load balancing while other processors continue working with the current data and load distribution. Jove goes through several steps to decide if the new data should be taken, including preliminary evaluate, partition, processor reassignment, cost evaluation, and decision. Jove running on a single EBM SP2 node has been completely implemented. Preliminary experimental results show that the Jove approach to dynamic load balancing can be effective for full scale grid partitioning on the target machine IBM SP2.
    Keywords: Computer Systems
    Type: 9th International Parallel Processing Symposium; Apr 25, 1995 - Apr 28, 1995; Santa Barbara, CA; United States
    Format: text
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    NASA TECHNICAL REPORTS
  • 6
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    Communication Studies of DMP and SMP Machines (1997)
    In:  CASI
    Details
    Publication Date: 2019-07-10
    Description: Understanding the interplay between machines and problems is key to obtaining high performance on parallel machines. This paper investigates the interplay between programming paradigms and communication capabilities of parallel machines. In particular, we explicate the communication capabilities of the IBM SP-2 distributed-memory multiprocessor and the SGI PowerCHALLENGEarray symmetric multiprocessor. Two benchmark problems of bitonic sorting and Fast Fourier Transform are selected for experiments. Communication-efficient algorithms are developed to exploit the overlapping capabilities of the machines. Programs are written in Message-Passing Interface for portability and identical codes are used for both machines. Various data sizes and message sizes are used to test the machines' communication capabilities. Experimental results indicate that the communication performance of the multiprocessors are consistent with the size of messages. The SP-2 is sensitive to message size but yields a much higher communication overlapping because of the communication co-processor. The PowerCHALLENGEarray is not highly sensitive to message size and yields a low communication overlapping. Bitonic sorting yields lower performance compared to FFT due to a smaller computation-to-communication ratio.
    Keywords: Computer Systems
    Type: NAS-96-005
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 7
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    Satisfiability Test with Synchronous Simulated Annealing on the Fujitsu AP1000 Massively-Parallel Multiprocessor (1996)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Solving the hard Satisfiability Problem is time consuming even for modest-sized problem instances. Solving the Random L-SAT Problem is especially difficult due to the ratio of clauses to variables. This report presents a parallel synchronous simulated annealing method for solving the Random L-SAT Problem on a large-scale distributed-memory multiprocessor. In particular, we use a parallel synchronous simulated annealing procedure, called Generalized Speculative Computation, which guarantees the same decision sequence as sequential simulated annealing. To demonstrate the performance of the parallel method, we have selected problem instances varying in size from 100-variables/425-clauses to 5000-variables/21,250-clauses. Experimental results on the AP1000 multiprocessor indicate that our approach can satisfy 99.9 percent of the clauses while giving almost a 70-fold speedup on 500 processors.
    Keywords: Computer Systems
    Type: NASA-CR-200964 , NAS 1.26:200964 , RIACS-TR-96-07 , 10th ACM International Conference on Supercomputing; May 25, 1996 - May 28, 1996; Philadelphia, PA; United States
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 8
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    Global Load Balancing with Parallel Mesh Adaption on Distributed-Memory Systems (1996)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Dynamic mesh adaption on unstructured grids is a powerful tool for efficiently computing unsteady problems to resolve solution features of interest. Unfortunately, this causes load imbalance among processors on a parallel machine. This paper describes the parallel implementation of a tetrahedral mesh adaption scheme and a new global load balancing method. A heuristic remapping algorithm is presented that assigns partitions to processors such that the redistribution cost is minimized. Results indicate that the parallel performance of the mesh adaption code depends on the nature of the adaption region and show a 35.5X speedup on 64 processors of an SP2 when 35% of the mesh is randomly adapted. For large-scale scientific computations, our load balancing strategy gives almost a sixfold reduction in solver execution times over non-balanced loads. Furthermore, our heuristic remapper yields processor assignments that are less than 3% off the optimal solutions but requires only 1% of the computational time.
    Keywords: Computer Systems
    Type: NASA-CR-202186 , NAS 1.26: 202186 , RIACS-TR-96-16 , Supercomputing 1996; Nov 17, 1996 - Nov 22, 1996; Pittsburgh, PA; United States
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 9
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    Unstructured Adaptive Grid Computations on an Array of SMPs (1996)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Dynamic load balancing is necessary for parallel adaptive methods to solve unsteady CFD problems on unstructured grids. We have presented such a dynamic load balancing framework called JOVE, in this paper. Results on a four-POWERnode POWER CHALLENGEarray demonstrated that load balancing gives significant performance improvements over no load balancing for such adaptive computations. The parallel speedup of JOVE, implemented using MPI on the POWER CHALLENCEarray, was significant, being as high as 31 for 32 processors. An implementation of JOVE that exploits 'an array of SMPS' architecture was also studied; this hybrid JOVE outperformed flat JOVE by up to 28% on the meshes and adaption models tested. With large, realistic meshes and actual flow-solver and adaption phases incorporated into JOVE, hybrid JOVE can be expected to yield significant advantage over flat JOVE, especially as the number of processors is increased, thus demonstrating the scalability of an array of SMPs architecture.
    Keywords: Computer Programming and Software
    Type: NASA-CR-202183 , NAS 1.26:202183 , RIACS-TR-96-13 , Parallel CFD 1996 Conference; May 20, 1996 - May 23, 1996; Capri; Italy|Proceedings of Parallel CFD 1996
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 10
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    Impact of Load Balancing on Unstructured Adaptive Grid Computations for Distributed-Memory Multiprocessors (1996)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The computational requirements for an adaptive solution of unsteady problems change as the simulation progresses. This causes workload imbalance among processors on a parallel machine which, in turn, requires significant data movement at runtime. We present a new dynamic load-balancing framework, called JOVE, that balances the workload across all processors with a global view. Whenever the computational mesh is adapted, JOVE is activated to eliminate the load imbalance. JOVE has been implemented on an IBM SP2 distributed-memory machine in MPI for portability. Experimental results for two model meshes demonstrate that mesh adaption with load balancing gives more than a sixfold improvement over one without load balancing. We also show that JOVE gives a 24-fold speedup on 64 processors compared to sequential execution.
    Keywords: Computer Programming and Software
    Type: NASA-CR-202185 , NAS 1.26:202185 , RIACS-TR-96-15 , IEEE Symposium on Parallel and Distributed Processing; Oct 23, 1996 - Oct 26, 1996; New Orleans, Louisiana; United States|Proceedings of 8th IEEE Symposium on Parallel and Distributed Processing
    Format: application/pdf
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    NASA TECHNICAL REPORTS
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