Distributed memory
Parallelisation of the Wide-Band Wide-Field Spectral Deconvolution Framework DDFacet on Distributed Memory HPC System
... a distributed memory system We decided to use the natural frequency channel-independent computation as the base of our distributed memory parallelization ...
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Distributed Memory Allocation Technique for Synchronous Dataflow Graphs
... new distributed memory allocation technique for applications modeled with Synchronous Dataflow (SDF) ...shared memory allocation technique based on a weighted graph, called Memory Exclusion ...
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Code generation for multi-phase tasks on multicore with distributed memory
... 3.2 Distributed memory For more flexibility, and in order to simplify the com- parison with other hardware architectures in the future, we opted for a hardware solution that relies on an FPGA devel- opment ...
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Some Experiments and Issues to Exploit Multicore Parallelism in a Distributed-Memory Parallel Sparse Direct Solver
... for distributed memory machines, al- though the initial developments actually relied on a shared-memory code ...both memory usage and ...
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Task-based hybrid linear solver for distributed memory heterogeneous architectures
... [32] distributed memory sparse direct solver, PDSLin implements a 2-level MPI (MPI+MPI) approach with finely tuned intra- and inter-subdomain load balanc- ing ...dense distributed memory ...
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Optimization of checkpointing and execution model for an implementation of OpenMP on distributed memory architectures
... a Distributed Shared Memory (DSM) to provide an ab- stracted shared-memory view over a physical distributed-memory ...shared memory is accessed through the network, the ...
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A distributed memory multiLevel fast physical optics algorithm
... on distributed memory MultiLevel Fast Multipole Algorithms (MLFMA) [5], we address this problem by partitioning not only among sub- apertures but also among the far field ...
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Parallelizing with BDSC, a resource-constrained scheduling algorithm for shared and distributed memory systems
... and distributed memory ar- chitectures: the image and signal processing applications Harris and ABF, the SPEC2001 benchmark equake and the NAS parallel benchmark ...
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Parallelizing RRT on distributed-memory architectures
... for distributed-memory architectures using message passing: OR parallel RRT, Distributed RRT and Manager-worker ...shared memory [15], [16]. Our Distributed RRT and Manager-worker RRT ...
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A hierarchical fast direct solver for distributed memory machines with manycore nodes
... Designing a fast scalable parallel solver based on compression techniques is a current hot topic into the field of numerical simulations. In particular, re- cent studies addressed computational kernels and both shared ...
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Modeling 1D distributed-memory dense kernels for an asynchronous multifrontal sparse solver
... max (SU i , M U i + M F i+1 ) (9) An algorithm where the master uses an LL factorization can be modeled in a similar way. Furthermore, communication costs can also be taken into account in Formula 9 in a simple manner. ...
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Introduction of shared-memory parallelism in a distributed-memory multifrontal solver
... In this study, we are interested in a parallel direct approach for the solution of sparse systems of linear equations of the form Ax = b, (1) where A is a sparse matrix, b is the right-hand side vector (or matrix) and x ...
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Code generation for multi-phase tasks on a multi-core distributed memory platform
... Contribution We present an extension to an existing compiler, which pro- duces PREM-compliant code. The input of the compiler is a Prelude syn- chronous data-flow program [20]. The output of the compiler is concurrent ...
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Parallelizing RRT on large-scale distributed-memory architectures
... TABLE I R ESULTS O BTAINED W ITH THE RRT V ARIANTS ON M ARENOSTRUM T P (2) = X P (2) · c + N P (2) · m, we estimate m by running the dis- tributed RRT on two processors. The graphs show that the estimated speedup ...
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Parallelizing RRT on large-scale distributed-memory architectures
... master–slave) scheme as the dynamic and centralized task-scheduling strategy: the manager maintains the tree, and the workers have no access to it. 1) Distributed RRT: Algorithm 2 presents our distributed ...
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Distributed Memory Bound Word Counting For Large Corpora
... external memory computation for the solved problem, need to invest much time in the careful design of unimplemented underlying external algorithms and data ...external memory algorithms and data ...
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Exact and Approximate Median Splitting on Distributed Memory Machines
... Keywords: median splitting, parallel algorithms, distributed mem- ory machines 1. Introduction Useful in many fields like statistics or signal processing median selection has been widely used in computer science ...
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Controlling the Memory Subscription of Distributed Applications with a Task-Based Runtime System
... of memory, no- tably in the case of distributed memory, for which reception buffers have to be allocated to receive contributions from other nodes, resulting in sub-optimal performances, and even ...
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RFID-based distributed shared memory for pervasive games
... Key words: Distributed memory, RFID, NFC, Vector clocks, Pervasive game 1 Introduction RFID tags are interesting components for pervasive games. They are inexpen- sive, easy to deploy and robust. Moreover a ...
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Distributed games with causal memory are decidable for series-parallel systems
... A distributed memory is a computable abstraction of an asynchronous ...a distributed memory if there is a computable asynchronous mapping ν : M(Σ 0 , D 0 ) → N and a computable function π : N ...
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