WHITE PAPER:
The focus of this IDC white paper is to compare quad-core processors and single-core processors. It then explores the market adoption, customer value proposition and adoption plans for Intel's quad-core technology processor through ...
WHITE PAPER:
This white paper provides and overview of the Intel® Tera-scale Computing Research Program, Intel's overarching effort to shape the future of Intel processors and platforms. Learn about the heart of Intel's research-achieving c...
WHITE PAPER:
It may be surprising to find that Zynga is performing some of the most advanced analytics anywhere. With a user base of over 250 million monthly active users, this white paper describes why Zynga uses the Vertica Analytics Platform to improve its business and game features.
EBOOK:
Read this e-book for an exploration of the four advantages of clustering, including data redundancy and parallel processing, and such benefits as high availability, rapid scalability, flexibility and maximum resource utilization.
PRESENTATION TRANSCRIPT:
In this eSeminar transcript from Sun Microsystems, hosted by Tech Target, leading technical experts will discuss Flash technology and it's effect in the HPC environment.
WHITE PAPER:
Read this paper to learn how combining a high performance batch programming and execution model with a high performance analytical database provides significant business benefits for a number of different types of applications.
PODCAST:
Join master of the parallel universe Clay Breshears and Aaron Tersteeg as they discuss parallel programming with a special guest. This episode features Dr. David Paterson, Director of the Universal Parallel Computing Research Center at UC Berkeley sponsored by Intel and Microsoft.
WHITE PAPER:
Read this white paper for an examination of a new software development language and technology called SequenceL, as well as a description of how it works, why there is a need for it and how well it performs in parallel environments.
WHITE PAPER:
Column-based databases can be slow deleting and updating data. Vertica’s Analytic Database is designed specifically for storing and querying large datasets. Vertica’s differentiator is that it combines a columnar database engine with MPP and shared-nothing architecture, aggressive data-compression rates, and high availability.
