What are “scalable paradigms for high-level, parallel, multi-media applications?
Let’s break it down. In our context “Scaleable” means that we should be able to add resources both vertically and horizontally (faster computers and more computers, respectively) to our network and get increased throughput correlated to those added resources. Or, more simply, our system shouldn’t break if we make it bigger or faster. “High-level” means that we shouldn’t have to all have computer programming degrees from Carnegie Mellon or MIT in order to use the system. Parallel computing platforms like MPI or PVM require either or both a deep understanding of the C programming language and a long, complicated setup. We don’t expect our users to have either because, frankly, neither do we. We’re not going to breaking any performance records here, but the entry point is more accessable and the learning curve is much gentler. In other words, “super-computing made easy.” I’ve already used the word “parallel” a few time on this page. I felt you getting nervous, so I’ll explain. What The Ar
Related Questions
- Can Sigma-Aldrich dispense arrays of chemicals in custom formats for screening applications or parallel chemistry?
- Can Sigma-Aldrich dispense arrays of chemicals in custom formats for screening applications or parallel chemistry?
- What are "scalable paradigms for high-level, parallel, multi-media applications?
- What are the real life applications of series and parallel connections?
- What are the real life applications of series and parallel connections?
- How scalable are BlueFolders applications?
