The Leading Source for Global News and Information Covering the Ecosystem of High Productivity Computing
April 21, 2006
New Zealand start-up, Cartesian Gridspeed, has developed a bioinformatics tool that supposedly searches gene databases 10,000 times faster than other existing genomic search engines. According to the company's CEO, Leonard Bloksberg, this allows industrial strength genomic searching to be performed on a standard PC instead of a multi-million dollar supercomputer cluster. HPCwire recently got an opportunity to ask Mr. Bloksberg about his company and the new technology that he helped develop.
HPCwire: What's the origin of your company and its name -- Cartesian Gridspeed?
Bloksberg: As a Senior Scientist at New Zealand's leading biotech company, Genesis Research, I was conducting research in systems biology when we encountered a need for significantly increased compute capacity. I got together with a group of programmers from Reel Two and we brainstormed a new way to get things done. Later I left Genesis and started Cartesian Gridspeed to work on bioinformatics technologies, and acquired the SLIM technology.
Genesis' core business is immunology. Systems biology and bioinformatics were a stretch for them. They have restructured and focused on their core immunology science.
The SLIM technology is based on very fast novel ways of working with data in arrays or grids. Rene Descartes created the concept of the grid, and the blue in our logo symbolizes the blue of the Fleur DeLis, which was the French flag at the time of Rene Descartes.
Cartesian Gridspeed was founded in April of 2005, and our alpha product was released exclusively in New Zealand in November of 2005. We are beginning a preliminary beta launch in Australia in April 2006, and the official beta launch is scheduled for May 2006 in the USA. The beta will be limited to no more than 24 companies world wide, and we are targeting the formal product launch for August 2006.
HPCwire: What does SLIM Search do and, without revealing any proprietary information, how does it do it?
Bloksberg: SLIM stands for Sequence Location Indexer and Matcher. SLIM Search is a super fast genomics search engine based on the SLIM technology. It is ten thousand times faster than a fully optimized implementation of Blast, the industry standard. SLIM Search offers more speed, more flexibility, and more sensitivity than anything else.
Ten thousand times faster is a ridiculous number, so here are some practical examples of what that means for a real biologist. SLIM Search can save you $100,000 per year in electricity costs if you run a Blast farm of 100 PCs where SLIM Search can do the job on a single PC. SLIM Search can assemble a human genome in half a day on a desktop workstation instead of months on a multi-million dollar cluster. SLIM Search can deliver daily updates of an orthogonal comparison comparative genomics database of every known gene on a single PC.
Modern genomics search tools break a search into 2 steps, a word search followed by an alignment. The word search phase is very simple, but must confront the entire dataset, so the need for speed is extreme. The fundamental concept of the word search is that you look for a short exact match -- the default in Blast is 11nt. If you find an exact match, you pass the hit on to an alignment phase as an HSP. SLIM Search is a significant improvement of how the computer carries out the word search, but the end result is the same. An exact match of 11nt does not vary no matter how the computer found it. SLIM Search then passes the pair on to the alignment program of Blast, so the biologist gets exactly the same results and statistics they are used to.
Page: 1 of 3(Digg, Technorati, more)
New Paper: Parallel Computing Without Parallel Programming
Learn how domain experts can run VHLL programs like MATLAB® on a variety of high-performance platforms without low-level reprogramming and how to work with the largest datasets and complex algorithms without sacrificing ease of use or reducing productivity.
Spider, the world's biggest Lustre-based, centerwide file system, has been fully tested to support Oak Ridge National Laboratory's new petascale Cray XT4/XT5 Jaguar supercomputer and is now offering early access to scientists.
Read More...
Wolfram Alpha, the Web-based computational engine introduced in May, is not a traditional supercomputing application, but relies on supercomputers to satisfy its unique requirements.
Read More...
There was a new energy at this year's TeraGrid '09 conference thanks to an outstanding turnout for the student program. Thanks to support from the National Science Foundation, more than 100 high school, undergraduate and graduate students were able to participate in the conference.
Read More...
Jul 09 | Engineer Live | The demand for computational tools to underpin the 3D seismic interpretation process has never been more apparent. Read more...
Jul 08 | EE Times | Unemployment for U.S. engineers has reached record levels, according to government figures. Read more...
Jul 08 | Network World | Global spending for 2009 projected to drop 6 percent, for a total of $3.2 trillion. Read more...
Jul 08 | Linux Magazine | Portability or efficiency? Neither is guaranteed when writing explicit parallel code. Read more...
Jul 07 | Ars Technica | Japanese company builds custom ASIC to accelerate real-time ray traced rendering for the auto industry. Read more...
Jul 10 | | Engineers, scientists, and other domain experts depend on the productivity enabled by very high-level language (VHLL) tools like MATLAB® and Python. However, as datasets grow larger and programs get more sophisticated, ordinary desktop computers can no longer keep up. The paper explores how to run VHLL programs on high-performance platforms without low-level reprogramming. Work with large datasets and complex algorithms without sacrificing ease of use or reducing productivity.
Apr 14 | | Many HPC IT departments are feeling the rising pressure to deliver more capacity computing and performance while trying to reduce the total cost of ownership. This white paper discusses how an environmentally-friendly and open-standards HPC building block based computing system using flexible interconnect options helps address capacity computing needs.
Source: Addison Snell, GM/VP, Tabor Research; sponsored by Dell
Many organizations that could benefit from the use of HPC clusters find that it is complicated to get the systems up and running because of limited IT resources or the complexities of the clusters themselves. Learn how the Intel Cluster Ready program, for which Dell was an original partner, seeks to address this challenge for entry level and mid-range HPC users.
BlueArc's Titan architecture represents an evolutionary step in file servers by creating a hardware-based file system that can scale bandwidth, IOPS, and overall data capacity well beyond conventional software-based devices. With its ability to virtualize a massive storage pool of up to four usable petabytes of tiered storage, Titan can scale with growing data requirements, offering a competitive advantage for businesses, researchers, or other enterprises seeking to better manage data growth while still ensuring optimal performance.
Sun Studio Compilers and Tools and Sun HPC ClusterTools allow you to create high performance parallel applications for OpenSolaris, Solaris and Linux. Sun Studio Express 11/08 includes MPI performance analysis capabilities and full OpenMP 3.0 compiler support. Learn about all this and the latest in Sun HPC ClusterTools 8.1.