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4,642
Self Adapting Software for Numerical Linear Algebra and LAPACK for Clusters
 Parallel Computing
, 2003
"... This article describes the context, design, and recent development of the LAPACK for Clusters (LFC) project. It has been developed in the framework of SelfAdapting Numerical Software (SANS) since we believe such an approach can deliver the con venience and ease of use of existing sequential enviro ..."
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Cited by 25 (15 self)
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This article describes the context, design, and recent development of the LAPACK for Clusters (LFC) project. It has been developed in the framework of SelfAdapting Numerical Software (SANS) since we believe such an approach can deliver the con venience and ease of use of existing sequential
Bundle Adjustment  A Modern Synthesis
 VISION ALGORITHMS: THEORY AND PRACTICE, LNCS
, 2000
"... This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the problem of refining a visual reconstruction to produce jointly optimal structure and viewing parameter estimates. Topics c ..."
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Cited by 555 (12 self)
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covered include: the choice of cost function and robustness; numerical optimization including sparse Newton methods, linearly convergent approximations, updating and recursive methods; gauge (datum) invariance; and quality control. The theory is developed for general robust cost functions rather than
Lapack for clusters project: An example of self adapting numerical software
 Hawaii International Conference on System Sciences HICSS37. URL http: //www.netlib.org/utk/people/JackDongarra/PAPERS/lfchicss.pdf
, 2004
"... This article describes the context, design, and recent development of the LAPACK for Clusters (LFC) project (LAPACK stands for Linear Algebra PACKage). It has been developed in the framework of SelfAdapting Numerical Software (SANS) since we believe such an approach can deliver the convenience and ..."
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Cited by 5 (0 self)
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This article describes the context, design, and recent development of the LAPACK for Clusters (LFC) project (LAPACK stands for Linear Algebra PACKage). It has been developed in the framework of SelfAdapting Numerical Software (SANS) since we believe such an approach can deliver the convenience
Linear Algebra Operators for GPU Implementation of Numerical Algorithms
 ACM Transactions on Graphics
, 2003
"... In this work, the emphasis is on the development of strategies to realize techniques of numerical computing on the graphics chip. In particular, the focus is on the acceleration of techniques for solving sets of algebraic equations as they occur in numerical simulation. We introduce a framework for ..."
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Cited by 324 (9 self)
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for the implementation of linear algebra operators on programmable graphics processors (GPUs), thus providing the building blocks for the design of more complex numerical algorithms. In particular, we propose a stream model for arithmetic operations on vectors and matrices that exploits the intrinsic parallelism
The Landscape of Parallel Computing Research: A View from Berkeley
 TECHNICAL REPORT, UC BERKELEY
, 2006
"... ..."
Self adapting linear algebra algorithms and software
, 2004
"... One of the main obstacles to the efficient solution of scientific problems is the problem of tuning software, both to the available architecture and to the user problem at hand. We describe approaches for obtaining tuned highperformance kernels, and for automatically choosing suitable algorithms. S ..."
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Cited by 94 (23 self)
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One of the main obstacles to the efficient solution of scientific problems is the problem of tuning software, both to the available architecture and to the user problem at hand. We describe approaches for obtaining tuned highperformance kernels, and for automatically choosing suitable algorithms
Benchmarking GPUs to tune dense linear algebra
, 2008
"... We present performance results for dense linear algebra using recent NVIDIA GPUs. Our matrixmatrix multiply routine (GEMM) runs up to 60 % faster than the vendor’s implementation and approaches the peak of hardware capabilities. Our LU, QR and Cholesky factorizations achieve up to 80–90 % of the pe ..."
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Cited by 237 (2 self)
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We present performance results for dense linear algebra using recent NVIDIA GPUs. Our matrixmatrix multiply routine (GEMM) runs up to 60 % faster than the vendor’s implementation and approaches the peak of hardware capabilities. Our LU, QR and Cholesky factorizations achieve up to 80
LAPACK: Linear Algebra Software for Supercomputers
 Preprint MCSP2360491, Argonne National Laboratory
, 1991
"... This paper presents an overview of the LAPACK library, a portable, publicdomain library to solve the most common linear algebra problems. This library provides a uniformly designed set of subroutines for solving systems of simultaneous linear equations, leastsquares problems, and eigenvalue probl ..."
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Cited by 1 (0 self)
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This paper presents an overview of the LAPACK library, a portable, publicdomain library to solve the most common linear algebra problems. This library provides a uniformly designed set of subroutines for solving systems of simultaneous linear equations, leastsquares problems, and eigenvalue
NetSolve: A Network Server for Solving Computational Science Problems
 The International Journal of Supercomputer Applications and High Performance Computing
, 1995
"... This paper presents a new system, called NetSolve, that allows users to access computational resources, such as hardware and software, distributed across the network. This project has been motivated by the need for an easytouse, efficient mechanism for using computational resources remotely. Ease ..."
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Cited by 305 (32 self)
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on any heterogeneous network and is implemented as a faulttolerant clientserver application. Keywords Distributed System, Heterogeneity, Load Balancing, ClientServer, Fault Tolerance, Linear Algebra, Virtual Library. University of Tennessee  Technical report No cs95313 Department of Computer
ScaLAPACK: A Linear Algebra Library for MessagePassing Computers
 In SIAM Conference on Parallel Processing
, 1997
"... This article outlines the content and performance of some of the ScaLAPACK software. ScaLAPACK is a collection of mathematical software for linear algebra computations on distributedmemory computers. The importance of developing standards for computational and messagepassing interfaces is discusse ..."
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Cited by 36 (3 self)
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This article outlines the content and performance of some of the ScaLAPACK software. ScaLAPACK is a collection of mathematical software for linear algebra computations on distributedmemory computers. The importance of developing standards for computational and messagepassing interfaces
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