The TOP500

History, Trends, and Future Directions in High Performance Computing

By Hans Werner Meuer, Erich Strohmaier, Jack Dongarra, Horst D. Simon

© 2012 – Chapman and Hall/CRC

300 pages | 100 B/W Illus.

About the Book

Considered a key indicator of the progress and current state of the field, the TOP500 list has become a globally recognized tool for classifying technology trends in high-performance computing (HPC). This book provides the first comprehensive overview of the history, current trends, and future directions of the TOP500 list in particular and HPC in general. It explores the history of the list and HPC technology over the past two decades, reflecting on trends in computer architecture, parallelism, interconnect technology, processor technology, and operating systems that have shaped the field.

Table of Contents


Chapter 1: Overview of the TOP500 project; purpose of the TOP500, how well does the list meet its purpose; Moore's Law, how well the TOP500 tracks not just Moore's Law per se, but the many other metrics of growth (CPU speed, memory size and speed, etc), and why perhaps TOP500 is good for some but not all of them

Chapter 2: History of Supercomputer Statistics, Mannheim Supercomputer Statistics 1986 - 1992

Chapter 3: What are the TOP500, rules submission guidelines, quality control, how did the rules evolve, why no Strassen, mixed precision submissions; rules about vendor systems

Chapter 4: LINPACK and the TOP500, pros and cons


Chapter 5: Historic development based on the idea of Bell's Law

Chapter 6: Architectures part of Market Place of HPC, update of the paper

Chapter 7: The History of the TOP1 systems

Chapter 8: TOP Sites

Chapter 9: The most successful architectures in the TOP500 need to define first what is success

Chapter 10: Papers about the TOP500

Chapter 11: Paper against the TOP500

Chapter 12: New Ranking metrics for Supercomputers

Chapter 13: Alternative benchmarks in use in HPC

Chapter 14: TOP500 website and database

About the Series

Chapman & Hall/CRC Computational Science

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Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Arithmetic
MATHEMATICS / Number Systems