Resources for “The Prime Internet Eisenstein Search”
Crandall, R. and C. Pomerance. Prime numbers: a computational perspective, Springer-Verlag, New York, 2001. ISBN 0-387-94777-9.
Derbyshire, John. Prime Obsession. Bernhard Riemann and the Greatest Unsolved Problem in Mathematics. Washington DC, Joseph Henry Press, 2003. ISBN 0-309-08549-7.
Ribenboim, Paulo. The new book of prime number records, 3rd edition, Springer-Verlag, New York, 1995. ISBN 0-387-94457-5.
Riesel, Hans. Prime numbers and computer methods for factorization, Birkhauser, Boston, 1994. ISBN 0-8176-3743-5.
PIES Page: fatphil.org/maths/PIES
Illegal Prime: primes.utm.edu/glossary/page.php?sort=Illegal
DeCSS Executable Prime Story in the Register, September 11, 2001: www.theregister.co.uk/2001/09/11/worlds_first_decss_executable_prime
The Prime Number Web Site at the University of Tennessee at Martin: primes.utm.edu
The Top 20 Prime Numbers: primes.utm.edu/bios/top20.php
Phil's Prime Number Page: primes.utm.edu/bios/page.php?id=239
Bob's Prime Number page: primes.utm.edu/bios/page.php?id=547
PIES Page at UTM: primes.utm.edu/bios/page.php?id=541
Today’s modular x86 servers are compute-centric, designed as a least common denominator to support a wide range of IT workloads. Those generic, virtualized IT workloads have much different resource optimization requirements than hyperscale and cloud applications. They have resulted in a “one size fits all” enterprise IT architecture that is not optimized for a specific set of IT workloads, and especially not emerging hyperscale workloads, such as web applications, big data, and object storage. In this report, you will learn how shifting the focus from traditional compute-centric IT architectures to an innovative disaggregated fabric-based architecture can optimize and scale your data center.
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It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
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Most companies incorporate backup procedures for critical data, which can be restored quickly if a loss occurs. However, fewer companies are prepared for catastrophic system failures, in which they lose all data, the entire operating system, applications, settings, patches and more, reducing their system(s) to “bare metal.” After all, before data can be restored to a system, there must be a system to restore it to.
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