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Asynchronous parallel algorithms for test set partitioned fault simulation

Asynchronous parallel algorithms for test set partitioned fa...

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Workshop on Principles of Advanced and distributed Simulation (PADS)

作者： D. Krishnaswamy P. Banerjee E.M. Rudnick J.H. Patel Center for Reliable and High Performance Computing University of Illinois Urbana IL USA Center for Parallel and Distributed Computing Northwestern University Evanston IL USA

We propose two new asynchronous parallel algorithms for test set partitioned fault simulation. The algorithms are based on a new two-stage approach to parallelizing fault simulation for sequential VLSI circuits in which the test set is partitioned among the available processors. These algorithms provide the same result as the previous synchronous two stage approach. However, due to the dynamic characteristics of these algorithms and due to the fact that there is very minimal redundant work, they run faster than the previous synchronous approach. A theoretical analysis comparing the various algorithms is also given to provide an insight into these algorithms. The implementations were done in MPI and are therefore portable to many parallel platforms. Results are shown for a shared memory multiprocessor.

关键词： parallel algorithms Circuit faults Circuit simulation Partitioning algorithms Circuit testing Computational modeling Sequential circuits Semiconductor device testing distributed computing Algorithm design and analysis

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Evaluation of compiler and runtime library approaches for supporting parallel regular applications

Evaluation of compiler and runtime library approaches for su...

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International Symposium on parallel Processing

作者： D.R. Chakrabarti P. Banerjee A. Lain Center for Parallel and Distributed Computing Northwestern University Evanston IL USA Hewlett-Packard Laboratoties Barcelona Spain

Important applications including those in computational chemistry, computational fluid dynamics, structural analysis and sparse matrix applications usually consist of a mixture of regular and irregular accesses. While current state-of-the-art run-time library support for such applications handles the irregular accesses reasonably well, the efficacy of the optimizations at run-time for the regular accesses is yet to be proven. This paper aims to find a better approach to handle the above applications in a unified compiler and run-time framework. Specifically, this paper considers only regular applications and evaluates the performance of two approaches, a run-rime approach using PILAR and a compile-time approach using a commercial HPF compiler. This study shows that using a particular representation of regular accesses, the performance of regular code using run-time libraries can come close to the performance of code generated by a compiler. It also determines the operations that usually contribute largely to the run-time overhead in case of regular accesses. Experimental results are reported for three regular applications on a 16-processor IBM SP-2.

关键词： Runtime library Concurrent computing Computational fluid dynamics High performance computing Program processors Programming profession Standards development Contracts Optimizing compilers Costs

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On the complexity of learning with a small number of nodes

On the complexity of learning with a small number of nodes

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International Joint Conference on Neural Networks (IJCNN)

作者： I. Parberry Center for Research in Parallel and Distributed Computing Department of Computer Sciences University of North Texas Denton TX USA

It is shown that the loading problem for a six-node neural network with a node function set AC/sub 10/, i.e., the conjunction or disjunction of a subset of the inputs or their complements is NP complete. It can be deduced from this observation that the loading problem for a six-node analog neural network is NP hard. The loading problem for a four-node neural network with a node function set equal to AC/sub 10/ plus the three-input equality function is shown to be NP complete, and it is indicated how the required results can be derived in a similar fashion. Three loading problems are studied.< >

关键词： Neural networks Computer architecture distributed computing Computer networks Boolean functions Concurrent computing Page description languages Electronic mail

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Dynamic load balancing strategies for conservative parallel simulations

Dynamic load balancing strategies for conservative parallel ...

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Workshop on Principles of Advanced and distributed Simulation (PADS)

作者： A. Boukerche S.K. Das Center for Research in Parallel and Distributed Computing Department of Computer Science University of North Texas Denton TX USA

This paper studies the problem of load balancing for conservative parallel simulations for execution on a multicomputer. The synchronization protocol makes use of Chandy-Misra (1979) null-messages. We propose a dynamic load balancing algorithm which assumes no compile time knowledge about the workload parameters. It is based upon a process migration mechanism, and the notion of CPU-queue length, which indicates the workload at each processor. We examine two variations for the algorithm which we refer to as centralized and multi-level hierarchical methods, in the context of queueing network simulation of a torus. The torus was chosen because its many cycles aid in the formation of deadlock, making it a stress test for any conservative synchronization protocols. Our experiments indicate that our dynamic load balancing schemes significantly reduce the run time of an optimized version of Chandy-Misra null message approach, and decreases by 30-40% the synchronization overhead when compared to the use of a static partitioning algorithm. Significantly, the results obtained also indicate that the multi-level scheme always outperforms both the centralized load balancing approach and the static partitioning algorithm.

关键词： Load management Computational modeling Protocols distributed computing Stress Testing Partitioning algorithms Discrete event simulation Computer simulation Concurrent computing

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Cost-optimal parallel algorithms for finitely inductive sequences

Cost-optimal parallel algorithms for finitely inductive sequ...

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Annual Hawaii International Conference on System Sciences (HICSS)

作者： S.K. Das P.S. Fisher H. Zhang Center for Research in Parallel and Distributed Computing Department of Computer Science University of North Texas Denton TX USA

Finitely inductive (FI) sequences are a class of sequences, finite or infinite, which are amenable to a certain mathematical representation which has direct significance to pattern recognition and string matching. The authors propose cost-optimal parallel algorithms for FI sequence processing. These algorithms include parallel factoring and following by bucket packing and by hashing on an exclusive-read and exclusive-write (EREW), parallel random access machine (PRAM) model. Each of the algorithms achieves cost-optimal speedup under certain conditions as detailed.< >

关键词： parallel algorithms Pattern recognition Pattern matching distributed computing Computer science Impedance matching Phase change random access memory Multiple signal classification Signal detection Motion detection

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Simultaneous scheduling, binding and floorplanning in high-level synthesis

Simultaneous scheduling, binding and floorplanning in high-l...

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International Conference on VLSI Design

作者： P. Prabhakaran P. Banerjee Center for Reliable and High peerformance Computing University of Illinois Urbana IL USA Center for Parallel and Distributed Computing Northwestern University Evanston IL USA

With small device features in sub-micron technologies, interconnection delays play a dominant part in cycle time. Therefore, it is important to consider the impact of physical design during high level synthesis. In this paper, an efficient floorplanning algorithm which takes into account the effect of interconnect delays on the overall cycle time of a given schedule is presented. A simultaneous scheduling, binding and floorplanning algorithm is also presented. In comparison to a traditional approach which separates high-level synthesis from physical design, our algorithm is able to make these stages interact very closely, resulting in solutions with lower latency and area. In addition, a detailed model is considered, taking into account multiplexer and register areas and delays.

关键词： High level synthesis Delay effects Scheduling algorithm Simulated annealing Processor scheduling Algorithm design and analysis Flow graphs Contracts distributed computing Registers

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Cost-optimal parallel algorithms for traversing trees

Cost-optimal parallel algorithms for traversing trees

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IEEE Southeastcon

作者： S.K. Das C.C.-Y. Chen Center of Research in Parallel and Distributed Computing Department of Computer Science University of North Texas Denton TX USA

The authors present cost-optimal parallel algorithms for depth-order (e.g., pre-, in-, and post-order) and level-order (e.g., breadth-first and breadth-depth) traversals of general trees with n nodes. Each of the algo... 详细信息

关键词： parallel algorithms Phase change random access memory Computer science Binary trees distributed computing Classification tree analysis Algorithm design and analysis

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Integrating task and data parallelism in an irregular application: a case study

Integrating task and data parallelism in an irregular applic...

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International Symposium on parallel and distributed Processing (IPDPS)

作者： K. McPherson P. Banerjee Cyrix Corporation Richardson TX USA Center for Parallel and Distributed Computing Northwestern University Evanston IL USA

Recently, there has been growing interest in simultaneous exploitation of task and data parallelism in scientific applications and in compiler and runtime support of this combined form of parallelism. In this paper we report on the integration of task and data parallelism on an important irregular application from the VLSI computer-aided design field, namely VLSI layout verification. We report on the implementation, and experimental results of our study on a SUN Sparcserver 1000 shared memory multiprocessor, a CM-5 distributed memory multiprocessor.

关键词： Computer aided software engineering parallel processing Very large scale integration Runtime Application software Concurrent computing Data structures Algorithm design and analysis distributed computing Sun

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A novel compilation framework for supporting semi-regular distributions in hybrid applications

A novel compilation framework for supporting semi-regular di...

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International Symposium on parallel Processing

作者： D.R. Chakrabarti P. Banerjee Center for Parallel and Distributed Computing ECE Department Tech.Institute Northwestern University Evanston IL USA

This paper explains how efficient support for semi-regular distributions can be incorporated in a uniform compilation framework for hybrid applications. The key focus of this work is in showing how, unlike other existing schemes, our scheme is able to minimize preprocessing overheads and maintain sophisticated communication optimizations (such as reduction of inter-processor communication during schedule generation and sharing of communicated information between regular and irregular accesses) even in the presence of semi-regular distributions. It is only natural that preprocessing overheads associated with semi-regular distributions be intermediate between those involved for regular and irregular distributions. This paper shows how various properties can be inferred for semi-regular distributions. These allow the use of the interval representation which in turn reduces the preprocessing overhead and makes possible compatible code generation for hybrid references. Experimental results on a 16-processor IBM SP-2 for a number of sparse applications using semi-regular distributions show that our scheme is feasible.

关键词： Sparse matrices Runtime Hybrid power systems Contracts Concurrent computing Costs Processor scheduling

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A cost-optimal parallel algorithm for the parentheses matching problem on an EREW PRAM

A cost-optimal parallel algorithm for the parentheses matchi...

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International Symposium on parallel Processing

作者： C.C.-Y. Chen S.K. Das Center for Research in Parallel and Distributed Computing Department of Computer Sciences University of North Texas Denton TX USA

The article presents a cost-optimal parallel algorithm for the parentheses matching problem on the EREW PRAM model. For n parentheses, the algorithm requires O(n/p+log n) time and O(n+p log p) space, employing p proce... 详细信息

关键词： parallel algorithms Phase change random access memory Data structures distributed computing Concurrent computing Arithmetic Binary trees Partitioning algorithms Read-write memory Algorithm design and analysis

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