Matrix computations
UPCBLAS: a library for parallel matrix computations in Unified Parallel C
... The popularity of Partitioned Global Address Space (PGAS) languages has increased during the last years thanks to their high programmability and performance through an efficient exploitation of data locality, especially ...
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Sparse matrix computations for dynamic network centrality
... Time-dependency adds an extra dimension to network science computations, potentially causing a dramatic increase in both strorage requirements and computation time. In the case of Katz-style centrality measures, ...
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Developing a High Performance Software Library with MPI and CUDA for Matrix Computations
... From physics and engineering to macroeconometric modeling, solving large linear systems of equations is a common problem. Such problems rely on high performance computing. One of the parallel programming paradigms is the ...
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Publicly Verifiable Delegation of Large Polynomials and Matrix Computations, with Applications
... Outsourced computations (where a client requests a server to perform some computation on its behalf) are becoming increasingly important due to the rise of Cloud Computing and the proliferation of mobile ...
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Dense Matrix Computations on NUMA Architectures with Distance-Aware Work Stealing
... BlueGene/Q system ranked #3 in the November 2014 TOP500 list, in weak scaling is well understood, at least for typical scientific SPMD codes based on load-balanced domain decompo- sition run on performance-reliable nodes ...
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Batched Matrix Computations on Hardware Accelerators Based on GPUs
... Scientific applications require solvers that work on many small size problems that are independent from each other. At the same time, the high-end hardware evolves rapidly and becomes ever more throughput-oriented and ...
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Partial Reconfiguration and Novel Algorithm for Matrix Inverse Computations
... and matrix inverse ...the computations pre- sented in section five. The inverse matrix computations from the linear recursive process, its theoretical construction in hardware will have the ...
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The pitfalls of verifying floating-point computations
... floating-point computations pose for static analysis and program testing meth- ods: both for defining the semantics of the programs to be analysed, and for defining and implementing the analysis ...
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Parallel Probabilistic Computations on a Cluster of Workstations *
... Our work is inspired by Brinch Hansen [4] who first described a generic Monte-Carlo parallel algorithm for multi-computers, then used it to develop a simulated annealing algorithm for the traveling salesperson problem ...
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Partitioning and Ordering Large Radiosity Computations
... interaction matrix [6]. The ra- diosity matrix equation is then solved by repeatedly updat- ing the matrix entries using a numerical solution technique, typically Gauss-Seidel ...the matrix ...
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Free Software Applied in Surveying Computations**
... Non commercial, commonly accessible programmes, almost don’t exist and these which are on the market have limited possibilities. Usually they are single product, being often results of students diploma projects, not ...
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ML BCM Business Computations
... 4. Read each question carefully. You may be asked to give more than one answer per question. You are allowed 30 minutes for completing the test. If you are given TRUE/FALSE questions, an[r] ...
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Secure Multiparty Computations on Bitcoin
... 10 Mining pools are coalitions of miners that perform their work jointly and share the profits. 11 See en.bitcoin.it/wiki/Transaction Malleability... We do not need to assume any privacy[r] ...
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Wireless security by handling computations
... There is a tool known as 1-out-of-2 oblivious transfer tool which plays a major role in cryptography & can build a cryptographic protocol for any polynomial-time computabl[r] ...
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Explicit computations with modular Galois representations
... On the other hand, research on the computational aspects of modular Galois representations is still in its early childhood. At the moment of writing this thesis there is very little literature on this subject, though ...
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Polynomial computations for blind image deconvolution
... This discussion has implications for the work considered in this paper because the row and column components of the PSF are computed from AGCD computations, where the polynomials f (y) and g(y) are, respectively, ...
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Accelerating mean time to failure computations
... In this paper, we prove that for regenerative systems, the method based on the ratio formula always converges faster than the standard method. In addition, we prove that the convergence rate for numerically computing the ...
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Verifying Spatial Properties of Array Computations
... In practice, the typical development procedure for complex stencil computations involves some ad hoc testing to ensure that no mistakes have been made e.g., by visual inspections on data, or comparison against ...
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Distributed Computations Driven by Resource Consumption
... PVM [14] extends the Unix model to distribution. Each task enrolled in PVM has a unique identifier. PVM has a primitive for sending signals to remote tasks. PVM has also a notion of group, which tasks can dynamically join ...
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