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Systematic Alias Sampling

In this article, we combine the Alias method with the concept of systematic sampling, a method commonly used in particle filters for efficient low-variance resampling. The proposed method allows very fast sampling from a discrete distribution: drawing k samples is up to an order of magnitude faster than binary search from the cumulative... (more)

Pipelined Iterative Solvers with Kernel Fusion for Graphics Processing Units

We revisit the implementation of iterative solvers on discrete graphics processing units and demonstrate the benefit of implementations using... (more)

Analytical Modeling Is Enough for High-Performance BLIS

We show how the BLAS-like Library Instantiation Software (BLIS) framework, which provides a more detailed layering of the GotoBLAS (now maintained as... (more)

Implementing Multifrontal Sparse Solvers for Multicore Architectures with Sequential Task Flow Runtime Systems

To face the advent of multicore processors and the ever increasing complexity of hardware... (more)

Topology-Oriented Incremental Algorithm for the Robust Construction of the Voronoi Diagrams of Disks

Voronoi diagrams are useful for spatial reasoning, and the robust and efficient construction of the... (more)

A Note on Performance Profiles for Benchmarking Software

In recent years, performance profiles have become a popular and widely used tool for benchmarking and evaluating the performance of several solvers... (more)

Algorithm 966

In the last few decades, the search for exact algorithms for known NP-hard geometric problems has intensified. Many of these solutions use Integer Linear Programming (ILP) modeling and rely on state-of-the- art solvers to be able to find optimal solutions for large instances in a matter of minutes. In this work, we discuss an ILP-based algorithm... (more)

Algorithm 967

The solution of a constant-coefficient elliptic Partial Differential Equation (PDE) can be computed using an integral transform: A convolution with the fundamental solution of the PDE, also known as a volume potential. We present a Fast Multipole Method (FMM) for computing volume potentials and use them to construct spatially adaptive solvers for... (more)

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New ACM TOMS Editor-in-Chief

Call for Nominations

Mike Heroux's term as EiC of ACM TOMS is coming to an end and nominations, including self-nominations, are invited for a three-year term as TOMS EiC to begin on March 1, 2017.

The nomination procedure is now available. The closing date for applications is September 15, 2016.

The ACM TOMS Replicated Computational Results (RCR) Initiative.

ACM TOMS has introduced a new initiative to optionally review the computationals results of a TOMS submission. This new effort is intended to assist in improving the quality of scientific publication for TOMS and for the computational science community as a whole. Manuscripts that successfully complete the RCR Review process receive the RCR designation when published. If you are interested in participating in this initiative, either as an author or reviewer, please contact the TOMS Editor-in-Chief. Details of the TOMS RCR Initiative are available here.


New options for ACM authors to manage rights and permissions for their work

ACM introduces a new publishing license agreement, an updated copyright transfer agreement, and a new author-pays option which allows for perpetual open access through the ACM Digital Library. For more information, visit the ACM Author Rights webpage.

 

Forthcoming Articles
Stability and Performance of Various Singular Value QR Implementations on Multicore CPU with a GPU

To orthonormalize a set of dense vectors, Singular Value QR (SVQR) requires only one global reduction between the parallel processing units, and uses BLAS-3 kernels to perform most of its local computation. As a result, compared to other orthogonalization schemes, SVQR obtains superior performance on many of the current computers. In this paper, we study the stability and performance of various SVQR implementations on multicore CPUs with a GPU, focusing on the dense triangular solve, which performs half of the total floating-point operations in SVQR. As a part of this study, we examine its adaptive mixed-precision variant that decides if a lower-precision arithmetic can be used for the triangular solution at runtime without increasing the order of its orthogonality error. Since the backward error of this adaptive mixed-precision variant is significantly greater than that of the standard SVQR, we study its effects on the solution convergence of several subspace projection methods for solving a linear system of equations and for computing singular values or eigenvalues of a sparse matrix. Our experimental results indicate that in some cases, the convergence rate of the solver may not be affected by the larger backward errors, while reducing the time to solution.

Optimizing the NIST Statistical Test Suite and the Berlekamp-Massey algorithm

The NIST Statistical Test Suite is one of the most popular tools for randomness analysis. This test battery is widely used but its implementation is quite inefficient. Complete randomness analysis using the NIST STS can take hours on a standard computer when the tested data volume is in the order of GBs. We improved the most time consuming tests (Spectral, Linear complexity) of the previous most efficient implementation of the NIST STS. We also optimised other tests and achieved minimal overall speed-up 38.5x compared to the NIST STS reference implementation. This means that 20 MB of data can be tested within a minute using our new optimised version of the NIST STS. To speed up the Linear complexity test, we proposed a new version of the Berlekamp-Massey algorithm computing just the linear complexity of a sequence. This new variant does not construct a linear feedback shift register and it is about 1.5 times faster than the standard version of the Berlekamp-Massey algorithm.

ADiJaC  Automatic Differentiation of Java Classfiles

This work presents the current design and implementation of ADiJaC, an automatic differentiation tool for Java classfiles. ADiJaC uses source code transformation to generate derivative codes in both the forward and the reverse modes of automatic differentiation. We describe the overall architecture of the tool and present various details and examples for each of the two modes of differentiation. We emphasize the enhancements that have been made over previous versions of ADiJaC and illustrate their influence on the generality of the tool and on the performance of the generated derivative codes. The ADiJaC tool has been used to generate derivatives for a variety of problems, including real-world applications. We evaluate the performance of such codes and compare it to derivatives generated by Tapenade, a well-established automatic differentiation tool for Fortran and C/C++. Additionally, we present more detailed performance analyses of two real-world applications. Apart from being the only general-purpose automatic differentiation tool for Java bytecode, we argue that ADiJaC's features and performance are comparable to those of similar mature tools for other programming languages such as C/C++ or Fortran.

IEEE754 precision-$k$ base-$\beta$ arithmetic inherited by precision-$m$ base-$\beta$ arithmetic for $k<m$

Suppose an $m$-digit floating-point arithmetic in base $\beta\ge 2$ following the IEEE754 arithmetic standard is available. We show how a $k$-digit arithmetic with $k<m$ can be inherited solely using $m$-digit operations. This includes the rounding into $k$ digits, the four basic operations and the square root, all for even or odd base $\beta$. In particular, we characterize the relation between $k$ and $m$ so that no double rounding occurs when computing in $m$ digits and rounding the result into $k$ digits. We discuss rounding to nearest as well as directed rounding, and our approach covers exceptional values including signed zero. For binary arithmetic, a Matlab toolbox based on binary64 including $k$-bit scalar, vector and matrix operations as well as $k$-bit interval arithmetic is part of Version 8 of INTLAB, the Matlab toolbox for reliable computing.

Algorithm xxx: DISODE45: A Matlab Runge-Kutta solver for Piecewise Smooth IVPs of Filippov type

In this paper an adaptive Runge-Kutta code, based on the DOPRI5(4) pair, for solving Initial Value Problems for differential systems with Piecewise Smooth solutions (PWS) is presented and the algorithms used in the code are described. The code automatically detects and locate accurately the switching points of the PWS, restarting the integration after each discontinuity. Further, in the case of Filippov systems, algorithms to handle properly sliding mode regimes in an automatic way are included. The code requires from the user a description of the IVP and the functions defining the hypersurfaces where the switching points are located, and it gives the discrete approximated solution together with the switching points. Several numerical experiments are presented to illustrate the reliability and efficiency of the code.

Parallel Memory Efficient Adaptive Mesh Refinement on Structured Triangular Meshes with Billions of Grid Cells

We present sam(oa)², a software package for dynamically adaptive, parallel solution of 2D partial differential equations on triangular grids created via newest vertex bisection. Using an element-oriented data view suitable for local operators, an element order imposed by the Sierpinski space-filling curve provides an algorithm for grid generation, refinement and traversal that is inherently memory efficient. Based purely on stack and stream data structures, it completely avoids random memory access. Scenarios are implemented based on control loops and event hooks, which hide the complexity of the underlying traversal scheme. Two case studies are presented: Two-phase flow in heterogeneous porous media and tsunami wave propagation, demonstrated on the Tohoku tsunami 2011 in Japan. sam(oa)² features hybrid MPI+OpenMP parallelization based on the Sierpinski order induced on the elements. Sections defined by contiguous grid cells define atomic tasks for OpenMP work sharing and stealing, as well as for migration of grid cells between MPI processes. Using optimized communication and load balancing algorithms, sam(oa)² achieves 88% strong scaling efficiency on 512 cores and 92% efficiency in a weak scaling test on 8192 cores with 10 billion elements - all tests including adaptive mesh refinement and load balancing in each time step.

An efficient representation format for fuzzy intervals based on symmetric membership functions

This paper proposes a novel implementation of fuzzy arithmetics that exploits both fuzzy intervals and hardware specificities. First, we propose and evaluate the benefit of an alternative representation format to the traditional lower-upper and midpoint-radius representation formats for intervals. Thanks to the proposed formats, we show that it is possible to halve the number of operations and memory requirements compared to conventional methods. Then, we show that operations on fuzzy intervals are sensitive to hardware specificities of accelerators such as GPU. These include static rounding, memory usage, instruction level parallelism (ILP) and thread-level parallelism (TLP). We develop a library of fuzzy arithmetic operations in CUDA and C++ over several formats. The proposed library is evaluated using compute-bound and memory-bound benchmarks on Nvidia GPUs, and shows a performance gain of 2 to 20 over traditional approaches.

\texttt{PSelInv}--A Distributed Memory Parallel Algorithm for Selected Inversion : the Symmetric Case

We describe an efficient parallel implementation of the selected inversion algorithm for distributed memory computer systems, which we call \texttt{PSelInv}. The \texttt{PSelInv} method computes selected elements of a general sparse matrix $A$ that can be decomposed as $A = LU$, where $L$ is lower triangular and $U$ is upper triangular. The implementation described in this paper focuses on the case of sparse symmetric matrices. It contains an interface that is compatible with the distributed memory parallel sparse direct factorization \texttt{SuperLU\_DIST}. However, the underlying data structure and design of \texttt{PSelInv} allows it to be easily combined with other factorization routines such as \texttt{PARDISO}. We discuss general parallelization strategies such as data and task distribution schemes. In particular, we describe how to exploit the concurrency exposed by the elimination tree associated with the $LU$ factorization of $A$. We demonstrate the efficiency and accuracy of \texttt{PSelInv} by presenting a number of numerical experiments. In particular, we show that \texttt{PSelInv} can run efficiently on more than $4,000$ cores for a modestly sized matrix. We also demonstrate how \texttt{PSelInv} can be used to accelerate large-scale electronic structure calculations.

Modular SIMD arithmetic in Mathemagix

Modular integer arithmetic occurs in many algorithms for computer algebra, cryptography, and error correcting codes. Although recent microprocessors typically offer a wide range of highly optimized arithmetic functions, modular integer operations still require dedicated implementations. In this article, we survey existing algorithms for modular integer arithmetic, and present detailed vectorized counterparts. We also present several applications, such as fast modular Fourier transforms and multiplication of integer polynomials and matrices. The vectorized algorithms have been implemented in C++ inside the free computer algebra and analysis system Mathemagix. The performance of our implementation is illustrated by various benchmarks.

GPU-accelerated generation of correctly-rounded elementary functions

The IEEE 754-2008 standard recommends the correct rounding of some elementary functions. This requires to solve the Table Makers Dilemma which implies a huge amount of CPU computation time. We consider in this paper accelerating such computations, namely Lefèvre algorithm on Graphics Processing Units (GPUs) which are massively parallel architectures with a partial SIMD execution (Single Instruction Multiple Data). We first propose an analysis of the Lefèvre hard-to-round argument search using the concept of continued fractions. We then propose a new parallel search algorithm much more efficient on GPU thanks to its more regular control flow. We also present an efficient hybrid CPU-GPU deployment of the generation of the polynomial approximations required in Lefèvre algorithm. In the end, we manage to obtain overall speedups up to 53.4x on one GPU over a sequential CPU execution, and up to 7.1x over a multi-core CPU, which enable a much faster solving of the Table Makers Dilemma for the double precision format.

Algorithm xxx: Computation of the incomplete gamma function for negative values of the argument

An algorithm for computing the incomplete gamma function $\gamma^*(a,z)$ for real values of the parameter a and negative real values of the argument z is presented. The algorithm combines the use of series expansions, Poincare-type expansions, uniform asymptotic expansions and recurrence relations, depending on the parameter region. A relative accuracy $10^{-13}$ in the parameter region $(a,z) \in [-500,\,500] \times [-500,\,0)$ can be obtained when computing the function $\gamma^*(a,z)$ with the Fortran 90 module IncgamNEG implementing the algorithm.

WorkStream -- a design pattern for multicore-enabled finite element computations

Many operations that need to be performed in modern finite element codes can be described as an operation that needs to be done independently on every cell, followed by a reduction of these local results into a global data structure. For example, matrix assembly, estimating discretization errors, or converting nodal values into data structures that can be output in visualization file formats all fall into this class of operations. Using this realization, we identify a software design pattern that we call WorkStream, and that can be used to model such operations and enables the use of multicore shared memory parallel processing. We also describe in detail how this design pattern can be efficiently implemented, and provide numerical scalability results from its use in the deal.II software library.

About TOMS

The purpose of the ACM Transactions on Mathematical Software (TOMS) is to communicate important research results addressing the development, evaluation and use of mathematical software...

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Bibliometrics

Publication Years 1975-2016
Publication Count 1468
Citation Count 13312
Available for Download 1468
Downloads (6 weeks) 4561
Downloads (12 Months) 43936
Downloads (cumulative) 979906
Average downloads per article 668
Average citations per article 9
First Name Last Name Award
Vernon Austel ACM Gordon Bell Prize (2006)
David H Bailey ACM Gordon Bell Prize (2008)
George Biros ACM Gordon Bell Prize
Performance (2010) ACM Gordon Bell Prize
Performance (2010)
Ronald Boisvert ACM Distinguished Member (2006)
Bruno Buchberger ACM Paris Kanellakis Theory and Practice Award (2007)
Edmond Chow ACM Gordon Bell Prize
Special Category (2009) ACM Gordon Bell Prize
Special Category (2009)
James Demmel ACM Paris Kanellakis Theory and Practice Award (2014)
Jack Dongarra ACM-IEEE CS Ken Kennedy Award (2013)
Stuart Feldman ACM Software System Award (2003)
John Gunnels ACM Gordon Bell Prize (2007)
John A. Gunnels ACM Gordon Bell Prize (2006)
Michael A Heroux ACM Distinguished Member (2009)
William Kahan ACM A. M. Turing Award (1989)
Matthew Knepley SIAM/ACM Prize in Computational Science and Engineering (2014)
David J Kuck ACM-IEEE CS Ken Kennedy Award (2010)
ACM-IEEE CS Eckert-Mauchly Award (1993)
Byounghak Lee ACM Gordon Bell Prize (2008)
Dhairya Malhotra ACM-IEEE CS George Michael Memorial HPC Fellowships (2015)
ACM Gordon Bell Prize
Performance (2010)
Lois C McInnes SIAM/ACM Prize in Computational Science and Engineering (2014)
Cleve Moler SIAM/ACM Prize in Computational Science and Engineering (2009)
Dianne P O'Leary ACM Distinguished Member (2006)
Naren Ramakrishnan ACM Distinguished Member (2009)
Sartaj K Sahni ACM Karl V. Karlstrom Outstanding Educator Award (2003)
Robert Schreiber ACM Distinguished Member (2006)
Horst D Simon ACM Gordon Bell Prize
Special Category (2009) ACM Gordon Bell Prize
Special Category (2009)
Barry Smith SIAM/ACM Prize in Computational Science and Engineering (2014)
James E. Smith ACM-IEEE CS Eckert-Mauchly Award (1999)
Kris Stewart ACM Senior Member (2015)
Nathan Tallent ACM-IEEE CS George Michael Memorial HPC Fellowships (2009)
Robert E Tarjan ACM Paris Kanellakis Theory and Practice Award (1999)
ACM A. M. Turing Award (1986)
Jeffrey S Vetter ACM Distinguished Member (2012)
ACM Gordon Bell Prize
Performance (2010)
Robert A. Walker Outstanding Contribution to ACM Award (2007)
ACM Distinguished Member (2006)
Bruce W Weide ACM Senior Member (2009)
Kesheng Wu ACM Distinguished Member (2010)
ACM Senior Member (2007)
Andrew C Yao ACM A. M. Turing Award (2000)
Hong Zhang SIAM/ACM Prize in Computational Science and Engineering (2014)
Benjamin G Zorn ACM Distinguished Member (2011)

First Name Last Name Paper Counts
Iain Duff 28
Robert Renka 22
Robert Van De Geijn 20
Fred Krogh 20
Jennifer Scott 19
John Reid 17
Jack Dongarra 16
Bo Kågström 15
Timothy Davis 15
Donald Amos 14
Lawrence Shampine 14
Wayne Enright 14
Richard Hanson 13
Jorge Moré 12
John Rice 12
Layne Watson 12
Burton Garbow 12
James Demmel 12
Joseph Liu 11
Fred Gustavson 11
William Cody 10
Timothy Hopkins 9
Walter Gautschi 9
Elias Houstis 9
Jeff Cash 9
Linda Kaufman 9
Xiaoyesherry Li 9
Nicholas Higham 8
Field Van Zee 8
Nico Temme 8
Ping Tang 8
Amparo Gil 8
Enrique Quintana-Ortí 8
Javier Segura 8
John Pryce 8
Patrick Keast 8
Terje Espelid 7
Michael Heroux 7
Ronald Boisvert 7
Gregorio Quintana-Ortí 7
Nicholas Gould 7
Ralph Kearfott 7
Hiroshi Akima 7
John Lewis 7
A Buckley 7
Almerico Murli 7
Anders Logg 6
Sven Hammarling 6
Pierre L'Ecuyer 6
Ian Gladwell 6
Ronald Cools 6
Panos Pardalos 6
Annie Cuyt 6
Albrecht Preusser 6
Thomas Hull 6
Gilbert Stewart 6
James Lyness 6
Roger Grimes 6
Richard Bartels 6
Robert Kirby 6
David Gay 6
Robert Ward 6
Geoffrey Hill 5
Robert Schnabel 5
Tamar Schlick 5
Patrick Gaffney 5
Thomas Coleman 5
Jerzy Waśniewski 5
Philippe Toint 5
Paul Muir 5
Kendall Atkinson 5
Graeme Fairweather 5
Tony Chan 5
Van Van Snyder 5
Jarle Berntsen 5
Sivan Toledo 5
Richard Sincovec 5
Zhaojun Bai 5
Alexander Morgan 5
Krzysztof Sikorski 5
William Mitchell 5
Anil Rao 5
Yu Kuznetsov 5
Paolo Bientinesi 5
Mauricio Resende 5
Jeremy Du Croz 5
Paolo Toth 4
Tzemeng Low 4
Ian Robinson 4
Wayne Dyksen 4
David Dodson 4
Daniel Kressner 4
Alan George 4
Valerio Parisi 4
Francesco Zirilli 4
William Hager 4
Jean Muller 4
Richard Lehoucq 4
Christof Vömel 4
Paul Bailey 4
Naren Ramakrishnan 4
Norman Schryer 4
Uwe Naumann 4
Christian Bischof 4
Werner Rheinboldt 4
Jan Verwer 4
Calvin Ribbens 4
John Monahan 4
Daniel Lozier 4
Lothar Reichel 4
Charles Fulton 4
Osni Marques 4
David Kahaner 4
Jorge Nocedal 4
Ahmed Sameh 4
Joke Blom 4
Filippo Aluffi-Pentini 4
Michael Saunders 4
Carl De Boor 4
Michael Patterson 4
Beresford Parlett 4
David Smith 4
Tamara Kolda 4
Richard Brent 4
Michael Berry 3
David Stoutemyer 3
Wolfgang Bangerth 3
Luisa D'Amore 3
Phyllis Fox 3
Granville Sewell 3
Frank Stenger 3
Fayez Alhargan 3
Kenneth Hillstrom 3
Andrew Conn 3
Steven Benson 3
John Gunnels 3
Margaret Wright 3
Charles Gear 3
Silvano Martello 3
Richard Simard 3
Luís Vicente 3
Wolfgang Hörmann 3
Willy Govaerts 3
Shaun Forth 3
Hatem Ltaief 3
Norman Gibbs 3
Alan Genz 3
Jon Bentley 3
Tobin Driscoll 3
Sanjiva Weerawarana 3
David Kincaid 3
Thomas Aird 3
Ron Dembo 3
Yifan Hu 3
Francesco Romani 3
Alfred Morris 3
Armido Didonato 3
Alan Jennings 3
Jonathan Hogg 3
William Brown 3
R Brankin 3
Philip Sharp 3
Joachim Ahrens 3
Paola Favati 3
Juan Meza 3
William Kahan 3
Marzio Sala 3
David Bailey 3
Desmond Higham 3
Maria Sosonkina 3
Bennett Fox 3
Aaron Fogelson 3
Webb Miller 3
David Shanno 3
Mariarosaria Rizzardi 3
Yozo Hida 3
Peter Benner 3
Martin Berzins 3
Anton Zettl 3
Kenneth Neves 3
Stan Cabay 3
Richard Fateman 3
Anshul Gupta 3
Ian Barrodale 3
Ulrich Dieter 3
William Symes 3
Alan Laub 3
Giorgio Carpaneto 3
Francisco Igual 3
Steven Pruess 3
Julien Langou 3
Roscoe Bartlett 3
Arnold Neumaier 3
Salvatore Filippone 3
Grazia Lotti 3
Bruce Schmeiser 3
Lars Karlsson 3
Chao Yang 3
Danny Sorensen 3
Andrew Sommese 3
Christoph Lauter 3
John Rice 3
Ron Brown 3
Alfredo Buttari 3
Kristján Jónasson 3
Bruno Lang 3
Niel Madsen 3
Toyat Cheung 3
Stavros Zenios 3
Giulio Giunta 3
Masao Kodama 3
Kanghoh Phua 3
J Diaz 3
Robert Granat 3
Garth Wells 3
Eric Grosse 3
Donald Ramirez 2
Greg Henry 2
Robert Russell 2
J Christiansen 2
Charles Dunkl 2
Jeffrey Vitter 2
Per Hansen 2
Leslie Foster 2
S Barry 2
Sunyoung Kim 2
Piotr Luszczek 2
Jan Olszewski 2
Richard Weiss 2
Mauro Dell'Amico 2
James Willenbring 2
Nikos Chrisochoides 2
Yves Nievergelt 2
Rida Farouki 2
Theodore Papatheodorou 2
Mohamed Kamel 2
J Smith 2
Bengt Fornberg 2
Catherine Houstis 2
Vincent Lefèvre 2
Daniel Kressner 2
Marnix Van Daele 2
Victor Eijkhout 2
Robert Skeel 2
Zvi Drezner 2
Lois McInnes 2
Jian He 2
Jean Utke 2
Sebastian Ferrando 2
Tapio Schneider 2
Michael Mascagni 2
Arunachalam Ravindran 2
Kenneth Jackson 2
Malcolm Pike 2
Roy Welsch 2
Alexandru Nicolau 2
Mark Gockenbach 2
Mofreh Zaghloul 2
Wilfried Gansterer 2
Paul Bratley 2
Michael Jenkins 2
Frederick Fritsch 2
I Hill 2
Thomas Foley 2
George Miminis 2
Kazushige Goto 2
J Weideman 2
Michele Goano 2
Bart Waanders 2
Michel Cosnard 2
H Knoble 2
José Morales 2
James Ball 2
Nelson Beebe 2
Duncan, Lawrie 2
George Davis 2
Voratas Kachitvichyanukul 2
Christopher Darby 2
Ilyssa Sanders 2
Geoffrey Huntington 2
Jean L'excellent 2
Christopher Paige 2
P Culligan-Hensley 2
David Jeffrey 2
Joaquim Júdice 2
L Stoltz 2
Charles Duris 2
Spencer Shellman 2
Per Thomsen 2
Charles Van Loan 2
Dennis Snow 2
David Melgaard 2
Jorge Leis 2
David Spooner 2
Roger Abernathy 2
Guangning Tan 2
Kevin Broughan 2
Harvey Greenberg 2
Klaus Schittkowski 2
Allan Macleod 2
Brigitte Verdonk 2
Philip Gill 2
Inderjit Dhillon 2
John Roulier 2
Stephen Peters 2
U Pape 2
Gopal Gupta 2
John Jezioranski 2
Michael Giles 2
Nathan Bell 2
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Masha Sosonkina 2
Joseph Flaherty 2
Ann Catlin 2
Xiaobai Sun 2
Hans Langtangen 2
J Yohe 2
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Richard Byrd 2
George Hall 2
John Mulvey 2
Dirk Laurie 2
David McAllister 2
Bryan Marker 2
Ali Bouaricha 2
Cleve Moler 2
William Poole 2
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Markus Neher 2
Jean Dumas 2
Roy Wampler 2
John Butcher 2
Michael Vrahatis 2
David Eyre 2
Paul Zimmermann 2
Martin Alnaes 2
Timo Betcke 2
T Lam 2
William Eddy 2
Randall Shirts 2
Geza Schrauf 2
Jan Vlček 2
Michael Liepelt 2
Brian Gunter 2
Luc Giraud 2
Bjarne Andersen 2
Josef Leydold 2
Marco Marletta 2
John Betts 2
Joris Van Deun 2
Frédéric Cazals 2
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Charles Dunham 2
Uri Ascher 2
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Gregory Ammar 2
Christian Reinsch 2
Linwang Wang 2
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D Taylor 2
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Jorn Springer 2
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Bryan Ford 2
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Wayne Hayes 2
Andrew Hall 2
Esmond Ng 2
S Nugent 2
Peter Alfeld 2
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David Keyes 2
Veerle Ledoux 2
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M Powell 2
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Jack Poulson 1
Marc Baboulin 1
Carsten Burstedde 1
Anthony Jones 1
George Labahn 1
Cleve Ashcraft 1
Harshad Kanhere 1
Christopher Thompson 1
Fouad Majaess 1
Patrick Siarry 1
David Twigg 1
A Benson 1
Tran-Thong 1
Rudi Huysmans 1
Steve Carr 1
David Flamm 1
Thomas George 1
J Schrooten 1
Narsingh Deo 1
Richard Peskin 1
Piers Lawrence 1
Atul Bhalla 1
Byounghak Lee 1
María Rivara 1
Martin Gander 1
Ashwin Nanjappa 1
Tiowseng Tan 1
Zhiyong Huang 1
Asgeir Birkisson 1
John Wisniewski 1
Arthur Peterson 1
Michelle Strout 1
Hassan Goldani Moghaddam 1
Sherif Hashem 1
Aart Bik 1
Achiya Dax 1
John Ivie 1
S Wong 1
Dimitris Kehagias 1
Nadia Shalaby 1
Gautam Mitra 1
Robert Wilhelmson 1
Peter Knijnenburg 1
Christoph Schierz 1
Greg Breinholt 1
Mani Mehra 1
Paul Barton 1
Siju Samuel 1
Nitin Patel 1
Joseph Simpson 1
Steven Wise 1
Zhixing Fu 1
Peter Wittek 1
M Wilson 1
William Michaels 1
Edward Gertz 1
Thu Vu 1
Teresa Tung 1
Irene Moulitsas 1
Dinesh Nair 1
Valérie Pascual 1
Brandon Thompson 1
M Er 1
Charles Mesztenyi 1
Franz Winkler 1
Bruno Buchberger 1
Manjula Iyer 1
Frantisek Fiala 1
Ben Sommeijer 1
Scott Hampton 1
Thomas Feo 1
Youngmok Jeon 1
Miroslav Rozlozník 1
Michael Heath 1
Gershon Kedem 1
Michail Konstantinov 1
S PéRez-RodríGuez 1
Robert Tarjan 1
Gary Haggard 1
Pedro Gonnet 1
A Mahendrarajah 1
William Cook 1
Weinan E 1
Carl Ollivier-Gooch 1
Timothy Tautges 1
Haim Avron 1

Affiliation Paper Counts
Universite Libre de Bruxelles 1
Rutgers University-Newark Campus 1
California State University Fullerton 1
National University of Cordoba 1
Humboldt University of Berlin 1
Western Michigan University 1
Universidad Central de Venezuela 1
Universite Pierre et Marie Curie 1
Johns Hopkins Hospital 1
Royal Institute of Technology 1
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Institute for Infocomm Research, A-Star, Singapore 1
Chinese University of Hong Kong 1
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University of Helsinki 1
University of Haifa 1
Radcliffe Infirmary 1
University of Texas at Arlington 1
Ohio State University 1
Arizona State University 1
Queens College, City University of New York 1
Cleveland State University 1
Sintef Foundation for Scientific and Industrial Research At the Norwegian Institute of Technology 1
ANSYS, Inc. 1
University of Geneva 1
Proudman Oceanographic Laboratory 1
University of Parma 1
University of Illinois 1
Nanyang Technological University 1
James Madison University 1
Bogazici University 1
University of Wisconsin Eau Claire 1
Unisys 1
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MIT Computer Science and Artificial Intelligence Laboratory 1
NASA Goddard Space Flight Center 1
Bayer 1
University of Salerno 1
Academy of Economic Studies, Bucharest 1
Lulea University of Technology 1
University of Rochester Laboratory for Laser Energetics 1
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German Aerospace Center 1
Technical University in Braunschweig 1
University of Copenhagen, Faculty of Life Sciences 1
University of Sao Paulo 1
Massey University 1
University of Bradford 1
National University of Ireland, Galway 1
Hong Kong University of Science and Technology 1
Educational Testing Service 1
University of California , Merced 1
Linkoping University 1
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University of Adelaide 1
Tampere University of Technology 1
Universite Paris 13 1
Washington State University 1
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University of Ulm 1
National Physical Laboratory 1
Ohio University Athens 1
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University of Oregon 1
National Chiao Tung University Taiwan 1
Lubeck University 1
MITRE Corporation 1
Mathematical Sciences Research Institute 1
Verizon Communications 1
The Council for Scientific and Industrial Research 1
Ca' Foscari University of Venice 1
Institute of Ocean Sciences, Fisheries and Oceans Canada 1
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VA Medical Center 1
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Danish Meteorological Institute 1
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CPB Netherlands Bureau for Economic Policy Analysis 1
Chuo University 1
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Keimyung University 1
SAIC 1
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United States National Aeronautics and Space Administration 1
Riken 1
Tech-X Corporation 1
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INRIA Lorraine 1
The University of North Carolina System 1
University of South Carolina 1
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Colegio de Postgraduados 1
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Hydrological Service of Israel 1
Toyota Technological Institute at Chicago 1
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NVIDIA 1
The MathWorks, Inc. 1
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Computer Sciences Corporation, Australia 1
Airbus Deutschland GmbH 1
Camosun College 1
Barcelona Supercomputing Center 1
Research Institute for Advanced Computer Science 1
Institute of Mathematical Problems of Biology, Russian Academy of Sciences 1
Universite de Bordeaux 1
University of Houston-Downtown 1
Avago Technologies Manufacturing (Singapore) Pte. Ltd. 1
Universite Grenoble Alpes 1
Carleton University 2
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Foundation for Research and Technology-Hellas 2
Chinese Academy of Sciences 2
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Hewlett-Packard 2
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The Babcock & Wilcox Company 2
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National Telecommunications and Information Administration 2
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Shell 2
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Yahoo Inc. 2
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General Motors 2
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Laboratoire d'Analyse et d'Architecture des Systemes 2
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Google Inc. 2
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CNRS Centre National de la Recherche Scientifique 2
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Naval Surface Warfare Center Dahlgren Division 2
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Defence College of Management and Technology 2
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HP Labs 2
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General Dynamics 2
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Max Planck Institute for Dynamics of Complex Technical Systems 3
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Microsoft 3
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Cray Inc. 4
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NASA Glenn Research Center 4
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Columbia University 4
Harwell Lab 4
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Forschungszentrum Julich GmbH 5
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LORIA Laboratoire Lorrain de Recherche en Informatique et ses Applications 5
Karlsruhe Institute of Technology, Campus South 5
Queen's University Belfast 5
IRIT Institut de Recherche Informatique de Toulouse 5
Union Carbide Corporation 5
University of Alberta 5
Ryerson University 5
University of Cambridge 5
Simula Research Laboratory 6
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CERFACS 6
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GM Research Lab 7
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Norwegian University of Science and Technology 7
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University of Coimbra 7
University of Iowa 7
Carnegie Mellon University 7
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University of California, Santa Barbara 7
University of Chicago 7
Commonwealth Scientific and Industrial Research Organization 7
Academy of Sciences of the Czech Republic (Avcr.Cz) 7
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Vienna University of Technology 8
Swiss Federal Institute of Technology, Zurich 8
Tokyo Institute of Technology 8
INRIA Sophia Antipolis 8
Intel Corporation 8
United Kingdom Atomic Energy Authority 9
North Carolina State University 9
Tel Aviv University 9
University of Zagreb 9
University of Kent 9
University of Leeds 9
Sandia National Laboratories 9
University of Kentucky 9
The College of William and Mary 9
Italian National Research Council 9
University of Roma La Sapienza 9
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University of California, Davis 10
Washington State University Pullman 10
Texas A and M University 10
University of Twente 10
New York University 10
The University of British Columbia 11
University of Bologna 11
University of Bergen 11
Ghent University 11
University of Wisconsin Madison 12
York University Canada 12
Princeton University 13
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Jet Propulsion Laboratory 13
Technical University of Denmark 13
Sandia National Laboratories, California 13
Southern Methodist University 13
University of Montreal 14
University of Notre Dame 14
Pennsylvania State University 15
University of Antwerp 15
University of Maryland 15
Rensselaer Polytechnic Institute 15
Numerical Algorithms Group 15
University of Colorado at Boulder 16
Universidad Jaume I 16
Massachusetts Institute of Technology 16
Imperial College London 17
University of Naples Federico II 18
Boeing Corporation 18
Rice University 19
IBM Thomas J. Watson Research Center 19
Oak Ridge National Laboratory 19
Catholic University of Leuven 19
University of Illinois at Urbana-Champaign 20
Center for Mathematics and Computer Science - Amsterdam 20
IBM 20
University of North Texas 20
Lawrence Livermore National Laboratory 20
University of Manchester 21
RWTH Aachen University 21
University of Utah 21
University of Waterloo 24
University of Tennessee, Knoxville 24
Stanford University 25
Virginia Tech 31
National Institute of Standards and Technology 32
Lawrence Berkeley National Laboratory 33
Umea University 34
Alcatel-Lucent Bell Labs 36
University of California, Berkeley 41
University of Toronto 43
University of Florida 44
Rutherford Appleton Laboratory 50
Purdue University 59
University of Texas at Austin 70
Sandia National Laboratories, New Mexico 72
Argonne National Laboratory 83

ACM Transactions on Mathematical Software (TOMS)
Archive


2016
Volume 43 Issue 3, August 2016  Issue-in-Progress
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2015
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2014
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2013
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2012
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2011
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2010
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2009
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2008
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2007
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2006
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2005
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2004
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2003
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2002
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2001
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2000
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1999
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1998
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1997
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1996
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1995
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1994
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1993
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1992
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1991
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1990
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1989
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1988
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1987
Volume 13 Issue 4, Dec. 1987
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1986
Volume 12 Issue 4, Dec. 1986
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Volume 12 Issue 1, March 1986 The MIT Press scientific computation series

1985
Volume 11 Issue 4, Dec. 1985
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1984
Volume 10 Issue 4, Dec. 1984
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1983
Volume 9 Issue 4, Dec. 1983
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1982
Volume 8 Issue 4, Dec. 1982
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1981
Volume 7 Issue 4, Dec. 1981
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1980
Volume 6 Issue 4, Dec. 1980
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1979
Volume 5 Issue 4, Dec. 1979
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Volume 5 Issue 2, June 1979
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1978
Volume 4 Issue 4, December 1978
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Volume 4 Issue 1, March 1978

1977
Volume 3 Issue 4, Dec. 1977
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Volume 3 Issue 1, March 1977

1976
Volume 2 Issue 4, Dec. 1976
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Volume 2 Issue 1, March 1976

1975
Volume 1 Issue 4, Dec. 1975
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