Visit additional Tabor Communication Publications
March 19, 2013
CAMBRIDGE, England, March 19 — MathWorks today hosted a Student Robot Challenge at its new offices in Cambridge. Nine teams from the University of Cambridge participated in the contest, including students from engineering, science and maths disciplines. The challenge was to program a robot that could complete a navigational task using MATLAB and Simulink, applying theory and skills learned in the classroom to the real world.
With growing calls from the UK's engineering and technology industries to encourage more STEM students to learn hands-on programming skills and to leave university better prepared to solve real world engineering problems, this robot contest was a fun example of how MathWorks, together with University of Cambridge students, are teaming up to help enhance the academic experience.
Each member of the first placed team was awarded a Google Nexus 7. Prizes were also awarded to the second and third placed teams. The judging was carried out by an experienced team of MathWorks engineers who awarded points for correctly completing a series of navigational tasks within the set time.
Professor Jan Maciejowski, Head of the Information Engineering Division at the University of Cambridge, said, "The MathWorks Simulink Robot Challenge is a great example of how we're working with industry to help prepare students effectively for their future careers. Integrating industry standard tools such as MATLAB and Simulink and teaching skills such as Model-Based Design as part of the STEM curricula is essential. Project-based learning exercises such as this contest, which used LEGO MINDSTORMS NXT, offer opportunities to develop skills by encouraging imagination, creativity and problem-solving in real world situations."
Jakub Sanak, an engineering student and a member of the team Duplo, said, "This contest helped to make theory come to life. We had a lot of fun today and we hope this type of contest can be an inspiration for other universities, colleges and schools to take part in more project-based challenges. I've learned skills today that not only can be applied in my university course, but will also help me in my future career."
Tanya Morton, Application Engineering Manager at MathWorks, said, "There's a major push to get more students in the UK interested in STEM subjects to help support the growth of the UK's engineering and technology industries. By using industry-standard tools such as MATLAB and Simulink to program a robotic system, students get valuable hands-on experience and a taste of the challenges they may face in a career in industry."
MathWorks is the leading developer of mathematical computing software. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualisation, and numeric computation. Simulink is a graphical environment for simulation and Model-Based Design for multidomain dynamic and embedded systems. Engineers and scientists worldwide rely on these product families to accelerate the pace of discovery, innovation, and development in automotive, aerospace, electronics, financial services, biotech-pharmaceutical, and other industries. MathWorks products are also fundamental teaching and research tools in the world's universities and learning institutions. Founded in 1984, MathWorks employs more than 2400 people in 15 countries, with headquarters in Natick, Mass.
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
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).
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...
May 22, 2013 |
At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
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.
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.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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...
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.