Distributed memory
Distributed Memory Parallel Algorithms for Minimum Spanning Trees
... In this paper we implement two parallel algorithms for finding MST of a graph, based on classical algorithms of Prim [2] and Kruskal [3]. Algorithms target message passing parallel machine with distributed ...
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Exploring Long-range Correlations for Text Classification Using a Sparse Distributed Memory
... The Sparse Distributed Memory (SDM) is a type of asso- ciative memory proposed by Pentti Kanerva in the 1980s [2]. It is based on the properties of high-dimensional spaces, where data are stored ...
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Assessing a Sparse Distributed Memory Using Different Encoding Methods
... Sparse Distributed Memory (SDM) is a kind of associative memory suitable to work with high-dimensional vectors of random ...sparse distributed memory to store sequences of sensorial ...
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Overview of IO Queuing Algorithm in Distributed Memory
... The distributed shared memory combines with the advantages of the shared memory system and distributed memory system, and integrates with the programmability and ...the ...
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Efficient Implementation of Tree Skeletons on Distributed-Memory Parallel Computers
... Abstract. Parallel tree skeletons are basic computational patterns that can be used to develop parallel programs for manipulat- ing trees. In this paper, we propose an efficient implementation of parallel tree skeletons ...
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Parallel performance prediction for multigrid codes on distributed memory architectures
... Multigrid is one of the most power numerical techniques to have been developed over the last 30 years [1, 2, 13]. As such, state-of-the-art parallel numerical soft- ware is now increasingly incorporating multigrid ...
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Distributed Memory: A Basis for Chart Parsing
... Distributed Memory A Basis for Chart Parsing Distributed Memory A Basis for Chart Parsing Jon M Slack Human Cognition Research Laboratory Open University Milton Keynes, MK7 6AA ENGLAND Abstract The pr[.] ...
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Efficient Parallel Tree Reductions on Distributed Memory Environments
... is distributed to each processor; (2) after communications among processors the second phase performs further reduction using ex- tended distributivity, producing a binary tree as a result whose internal nodes are ...
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Parallel computing of numerical schemes and big data analytic for solving real life applications
... main memory for parallel computing either distributed memory or shared ...memory. Distributed memory consists of several numbers of processors for computing the sub-domain of a ...
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A Survey on Realizing Memory-Optimized Distributed Graph Processing
... namely Memory cloud that the paper fully covered the “trinity: a distributed graph engine on a memory ...the memory-based approaches are usually not scale that is sizable by the reason is ...
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Optimization of Machine Learning Process Using Parallel Computing
... shared memory, distributed memory model and hybrid ...whole memory (single computers implement this concept through threads) [12], while in the second one, each processor has its own local ...
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A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler
... to distributed memory architectures by using MPI and compared to a deterministic MPI implementation of S-R, in which one core gathers all particles from the other cores, performs S-R locally and scatters ...
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An Efficient Parallel Algorithm of Modified Jacobi Approach for Sparse Linear System
... In this section, we present a simple parallel algorithm of the modified Jacobi method on Distributed Memory Architecture to solve sparse linear system. Further, our algorithm is based on Compressed Sparse ...
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Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks
... a distributed memory substrate, preserving information about past inputs to leverage temporal dependencies for data processing tasks such as classification and ...fundamental memory properties of ...
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Survey on Pure Parallel Programming Models: OpenMP and MPI
... ABSTRACT: This paper presents all pure parallel programming models. shared and distributed memory approaches are also reviewed in this paper. This paper introduces the contribution of Open standards such as ...
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Record-and-Replay Techniques for HPC Systems: A Survey
... shared memory models explored tradeoffs between replay styles ...shared memory models, but also of many techniques for distributed memory models as discussed in Section ...main memory ...
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A Parallel Hybrid Approach With MPI And OpenMP
... Parallel Hybrid Computing has been an emerging research field in Parallel Computing and Multi Core and Many Core Programming in recent years. It is the hybrid approach to make the combination of MPI (Message Passing ...
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Side-Channel Protection by Randomizing Look-Up Tables on Reconfigurable Hardware - Pitfalls of Memory Primitives
... using distributed memories (of FPGAs) to realize randomized (masked) look-up ...such memory primitives is not completely clear to us, we are confident that the observed leakage is due to the internal ...
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A Study on Inter process Communications in Distributed Computer systems
... A distributed system is a collection of independent computers that appears to its users as a single coherent system ...in distributed systems is accomplished by different mechanisms and these mechanisms are ...
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Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text
... both memory footprint and execution ...the memory required per node to less than 1/10th that when training with- out corpus partitioning, and to half that of a random ...
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