Linux Clusters at NIST
Linux has been beneficial in our research. The first device driver for the PCI MultiKron card was done on Linux and was the easiest to write. We use Linux to monitor the cluster, and the tools we develop are either written for Linux first or ported quickly from other UNIX environments. Experimenting with computing clusters would be more difficult with commercial operating systems because source code is generally not available. By having the ability to probe the operating system source code, we are able to accurately measure performance of the OS in addition to the performance of our applications.
Our experiments show that clusters compete very well with traditional parallel machines when running distributed memory applications, generally characterized by large messages. For shared memory applications, which tend to communicate with many small messages, the overhead of the network has a detrimental effect on the application performance. For both types of applications, tuning the network parameters can be of tremendous benefit in decreasing execution time.
The 333 MHz, 16-node Pentium-II cluster has been transferred into a production environment. This cluster will be made available to the entire NIST community and will be managed by the group that supports the traditional supercomputers. We believe Linux-based clusters will provide an effective environment for running many high-performance applications.
Wayne Salamon is a Computer Scientist within the Information Technology Laboratory at the National Institute of Standards and Technology in Gaithersburg, MD. He has worked on system software for PCs, UNIX workstations and IBM mainframes for the past 12 years. His current research interests are parallel computing and performance measurement. Wayne can be reached at firstname.lastname@example.org.
Alan Mink is project engineer of the Distributed Systems Technology project within the NIST Information Technology Laboratory. He holds a B.S. in Electrical Engineering from Rutgers University and an M.S. and Ph.D. in Electrical Engineering from the University of Maryland. His research interests include computer architecture and performance measurement. Alan can be reached at email@example.com.
- VMware's Clarity Design System
- Let's Go to Mars with Martian Lander
- Applied Expert Systems, Inc.'s CleverView for TCP/IP on Linux
- Papa's Got a Brand New NAS
- My Childhood in a Cigar Box
- Rogue Wave Software's TotalView for HPC and CodeDynamics
- Panther MPC, Inc.'s Panther Alpha
- Jetico's BestCrypt Container Encryption for Linux
- Smith Charts for All
- GENIVI Alliance's GENIVI Vehicle Simulator
Pick up any e-commerce web or mobile app today, and you’ll be holding a mashup of interconnected applications and services from a variety of different providers. For instance, when you connect to Amazon’s e-commerce app, cookies, tags and pixels that are monitored by solutions like Exact Target, BazaarVoice, Bing, Shopzilla, Liveramp and Google Tag Manager track every action you take. You’re presented with special offers and coupons based on your viewing and buying patterns. If you find something you want for your birthday, a third party manages your wish list, which you can share through multiple social- media outlets or email to a friend. When you select something to buy, you find yourself presented with similar items as kind suggestions. And when you finally check out, you’re offered the ability to pay with promo codes, gifts cards, PayPal or a variety of credit cards.Get the Guide