From the Editor | Main Blog Index
February 17, 2009
While a lot of the talk surrounding productivity in the HPC space has to do with parallel programming models and language compilers, for coders in the trenches, the most important productivity tool is their text editor. A good source code text editor can make even a poor programming environment seem tolerable. If you doubt the significance of a developer's relationship with their editor, just suggest he or she ditch their beloved Emacs or vi for Brand X.
With that in mind, I was intrigued by the recent debut of a Web-based text editor, called Bespin, designed for source code development. Bespin is the brainchild of Mozilla Labs, which released a prototype of the tool last week. While there are other online editors like Google Docs and Zoho Writer, those are geared for general-purpose word processing and tend to make poor tools for developing code. The Bespin prototype is geared toward Web programming (it does syntax highlighting for JavaScript, HTML and CSS), but since the editor is built for extensibility, support for other languages should be relatively easy to plug in.
Bespin already seems to be getting a lot of praise in the press, and with Mozilla behind it, this may be a tool with a real future. The obvious advantage of coding in the cloud is that you've freed yourself of maintaining your editor tools -- licenses, updates, custom configurations, etc. -- on all your computers. Also, the online nature of the tool makes real-time collaboration of source code a no-brainer, although this capability doesn't exist in the prototype.
One of Bespin's strongest features is performance, which the Mozilla guys seemed to be focused on from the start. The text editing windows, as well as other types of windows, are rendered using the HTML 5 canvas element and are implemented in JavaScript. Since JavaScript runs locally, the application is able to take advantage of client-side interactivity and performance (although your mileage may vary depending on your client hardware and how canvas and JavaScript are implemented). So typing fast and editing large files does not seem to stress its performance.
The developers also paid a good deal of attention to the user interface and strived to make it as intuitive as possible. The fact that they used canvas to implement the UI graphics enabled them to incorporate a lot of intelligence in the layout and navigation of the source code files. A nice video demonstration of Bespin from two of the developers is provided below.
If you want to give Bespin a spin, you can register at https://bespin.mozilla.com/. But since the tool uses HTML 5, you'll need to install Firefox 3.0 or WebKit Nightly to test it out.
Posted by Michael Feldman - February 17, 2009 @ 4:47 PM, Pacific Standard Time
![]()
Michael Feldman is the editor of HPCwire.
No Recent Blog Comments
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Read more...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
Read more...
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
Read more...
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
Read more...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
Read more...
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.