High-Performance Computing: Clusters, Constellations, MPPs, and Future Directions

Authors:
Jack Dongarra;Thomas Sterling;Horst Simon;Erich Strohmaier
Affiliations:
Oak Ridge National Laboratory;California Institute of Technology;Lawrence Berkeley National Laboratory;Lawrence Berkeley National Laboratory
Venue:
Computing in Science and Engineering
Year:
2009

Citing 5
Cited 10

Enabling technologies for petaflops computing

Enabling technologies for petaflops computing
In search of clusters (2nd ed.)

In search of clusters (2nd ed.)
The marketplace of high-performance computing

Parallel Computing - Special Anniversary issue
What's next in high-performance computing?

Communications of the ACM - Ontology: different ways of representing the same concept
Beowulf Cluster Computing with Linux

Beowulf Cluster Computing with Linux

An Accelerator for Physics Simulations

Computing in Science and Engineering
Parallelization of Pricing Path-Dependent Financial Instruments on Bounded Trinomial Lattices

ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
A Linux cluster of personal computers for the numerical simulation of natural airflows in greenhouses using a lattice model

Computers and Electronics in Agriculture
Fault tolerant record placement for decentralized SDDS LH

PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Simdist: a distribution system for easy parallelization of evolutionary computation

Genetic Programming and Evolvable Machines
Hybrid reliable load balancing with MOSIX as middleware and its formal verification using process algebra

Future Generation Computer Systems
Preliminary through-out research on parallel-based remote sensing image processing

ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment

The Journal of Supercomputing
Scaling up transit priority modelling using high-throughput computing

AusPDC '12 Proceedings of the Tenth Australasian Symposium on Parallel and Distributed Computing - Volume 127
AMRC: an algebraic model for reconfiguration of high performance cluster computing systems at runtime

The Journal of Supercomputing

Quantified Score

Hi-index	0.01

Visualization

Abstract

In a recent paper, Gordon Bell and Jim Gray put forth a view of the past, present, and future of high-performance computing (HPC) that is both insightful and thought provoking. Identifying key trends with a grace and candor rarely encountered in a single work, the authors describe an evolutionary past drawn from their vast experience and project an enticing and compelling vision of HPC's future. Yet, the underlying assumptions implicit in their treatment, particularly those related to terminology and dominant trends, conflict with our own experience, common practices, and shared view of HPC's future directions. We offer an alternate perspective on several key issues in the form of a constructive counterpoint.