Improving Performance via Mini-applications

By S. Report, Michael A. Heroux, D. Doerfler, Paul S. Crozier, J. Willenbring, H. Edwards, Alan B. Williams, M. Rajan, E. Keiter, Heidi K. Thorn and 1 more. 2009

329 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/c3b2d0965d63e209b171098e33ed15af526bcce9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Bryce Adelstein-Lelbach
2. T. Heller
3. Adrian Serio
4. D. Fey
5. Hartmut Kaiser

Citations in the corpus

• TOP-PIM: throughput-oriented programmable processing in memory (2014, unknown): “The Mantevo Project [24] provides a collection of applications designed to mimic the characteristics of widely used high-performance computing algorithms.”
• HPX: A Task Based Programming Model in a Global Address Space (2014, methodology): “The presented applications are an Nbody-Code implemented with LibGeoDecomp [28] and the miniGhost [54] benchmark from the Mantevo Benchmark Suite [55].”