M
M. Harper Langston
Researcher at New York University
Publications - 23
Citations - 580
M. Harper Langston is an academic researcher from New York University. The author has contributed to research in topics: Compiler & Tensor. The author has an hindex of 8, co-authored 23 publications receiving 541 citations. Previous affiliations of M. Harper Langston include Georgia Institute of Technology.
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Journal ArticleDOI
A massively parallel adaptive fast multipole method on heterogeneous architectures
Ilya Lashuk,Aparna Chandramowlishwaran,M. Harper Langston,Tuan-Anh Nguyen,Rahul S. Sampath,Aashay Shringarpure,Richard Vuduc,Lexing Ying,Denis Zorin,George Biros +9 more
TL;DR: In this paper, a parallel fast multipole method (FMM) for highly nonuniform distributions of particles was proposed to evaluate two-body nonoscillatory potentials in three dimensions on heterogeneous high performance computing architectures.
ReportDOI
DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC) Report: Top Ten Exascale Research Challenges
Robert F. Lucas,James A. Ang,Keren Bergman,Shekhar Borkar,William Carlson,Laura Carrington,George Liang-Tai Chiu,Robert Colwell,William J. Dally,Jack Dongarra,Al Geist,Rud Haring,Jeffrey Hittinger,Adolfy Hoisie,Dean Micron Klein,Peter M. Kogge,Richard Lethin,Vivek Sarkar,Robert Schreiber,John Shalf,Thomas Sterling,Rick Stevens,Jon Bashor,Ron Brightwell,Paul W. Coteus,Erik Debenedictus,Jon Hiller,K. H. Kim,M. Harper Langston,Richard Micron Murphy,Clayton G. Webster,Stefan M. Wild,Gary Grider,Robert Ross,Sven Leyffer,James H. Laros +35 more
TL;DR: Drawing from reports and more recent experience, this ASCAC subcommittee has identified the top ten computing technology advancements that are critical to making a capable, economically viable, exascale system.
Proceedings ArticleDOI
A massively parallel adaptive fast-multipole method on heterogeneous architectures
Ilya Lashuk,Aparna Chandramowlishwaran,M. Harper Langston,Tuan-Anh Nguyen,Rahul S. Sampath,Aashay Shringarpure,Richard Vuduc,Lexing Ying,Denis Zorin,George Biros +9 more
TL;DR: New scalable algorithms and a new implementation of the kernel-independent fast multipole method are presented, in which both distributed memory parallelism and shared memory/streaming parallelism are employed to rapidly evaluate two-body non-oscillatory potentials.
Proceedings ArticleDOI
A New Parallel Kernel-Independent Fast Multipole Method
TL;DR: A new adaptive fast multipole algorithm that is kernel-independent in the sense that the evaluation of pairwise interactions does not rely on any analytic expansions, but only utilizes kernel evaluations, and its parallel implementation logically separates the computation and communication phases.
Journal ArticleDOI
A free-space adaptive fmm-based pde solver in three dimensions
TL;DR: A kernel-independent, adaptive fast multipole method of arbitrary order accuracy for solving elliptic PDEs in three dimensions with radiation boundary conditions is presented and numerical examples for the Laplace, modified Helmholtz and Stokes equations are presented.