S. Karmesin

Publications
Influence

Three-Dimensional Deformable Grid Electromagnetic Particle-in-cell for Parallel Computers

J. Wang, D. Kondrashov, P. Liewer, S. Karmesin
Physics
1 April 1999

We describe a new parallel, non-orthogonal-grid, three-dimensional electromagnetic particle-in-cell (EMPIC) code based on a finite-volume formulation. This code uses a logically Cartesian grid of… Expand

Portable profiling and tracing for parallel, scientific applications using C++

S. Shende, A. Malony, J. Cuny, Peter C Beckman, S. Karmesin, K. Lindlan
Computer Science
SPDT '98
1 August 1998

We introduce the TAU portable profiling package for C++ and demonstrate its C++ profiling capabilities for real parallel applications. Expand

Array Design and Expression Evaluation in POOMA II

S. Karmesin, J. Crotinger, +5 authors T. Williams
Computer Science
ISCOPE
8 December 1998

POOMA is a templated C++ class library for use in the development of large-scale scientific simulations on serial and parallel computers. Expand

Optimization of particle-in-cell codes on reduced instruction set computer processors

V. Decyk, S. Karmesin, Aeint de Boer, P. C. Liewer
Computer Science
1 June 1996

General strategies are developed to optimize particle‐cell codes written in Fortran for reduced instruction set computer processors which are commonly used on massively parallel computers. Expand

Motion of the termination shock in response to an 11 Year variation in the solar wind

A two-dimensional hydrodynamic numerical model has been used to study the motion of the termination shock in response to an 11 year variation in the solar wind ram pressure. We find that for a total… Expand

Hydrodynamic instability of the heliopause driven by plasma-neutral charge-exchange interactions

P. C. Liewer, S. Karmesin, J. Brackbill
Physics
1 August 1996

Results from time-dependent two-dimensional hydrodynamic simulations of the global heliosphere suggest that drag between the plasma ions and the interstellar neutrals, caused by charge-exchange… Expand

SMARTS: exploiting temporal locality and parallelism through vertical execution

S. Vajracharya, S. Karmesin, +5 authors Stephen Smith
Computer Science
ICS '99
20 June 1999

This paper describes how the SMARTS runtime system and the POOMA C++ class library for high-performance scientific computing work together to exploit data parallelism in scientific applications while hiding the details of manag- ing parallelism and data locality from the user. Expand

Generic programming in POOMA and PETE

J. Crotinger, J. Cummings, +5 authors T. Williams
Computer Science
31 December 1998

This paper discusses generic programming techniques that are used to achieve flexibility and high performance in POOMA. Expand

Generic Programming in POOMA and PETE

J. Crotinger, J. Cummings, +5 authors T. Williams
Computer Science
Generic Programming
27 April 1998

This paper discusses generic programming techniques that are used to achieve flexibility and high performance in both POOMA and PETE. Expand

Optimization of Data-Parallel Field Expressions in the POOMA Framework

W. Humphrey, S. Karmesin, F. Bassetti, J. Reynders
Computer Science
ISCOPE
8 December 1997

The POOMA framework is a C++ class library for the development of large-scale parallel scientific applications. Expand

Recommended Authors