High Performance Computing for Wall Street
The 8th Annual 2011 High Performance Computing for Wall Street will assemble 800 IT directors from Wall Street and the global financial markets.
Speed and costs and new profit centers from arbitrage trading, HPC data storage, HPC networking will be featured in 2011.
Wall Street is adopting high speed HPC systems with Low Latency to create new profit centers for arbitrage trading.
Wall Street is adopting Virtualization to increase back office efficiency and cost savings of existing HPC systems.
Our 2011 Show & Conference will feature Low Latency and Virtualization as two strategies to increase speed, reduce cost and increase full operations performance of HPC systems.
The 2011 8th Annual High Performance Computing on Wall Street is supporting that need with High Performance Computing, Low Latency, Linux, Virtualization, Cloud Computing, Grid, Cluster, Blade, Ultra High Speed Networking, Data Center Solutions and other technology.
In 2011 transaction message speeds have increased to almost 500 million per second. Even greater transaction speeds are increasing the volume of Wall Street trades.
Our Gold Sponsors will include Microsoft, Intel, HP, IBM, Blade, Novell, Red Hat, Oracle, Solace, Fulcrum, Corvil, Forsythe, SuperMicro Computer, Cisco, Arista, VMware, Tibco, Appro, Myricom, among other leading Wall Street providers.
Join this growing list of sponsors and exhibits if you have not done so for the largest meeting of HPC in New York in 2011.
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
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Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

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.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?



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