- Letchworth Garden City, Hertfordshire
We are innovative, robust and fast growing business, whose main focus is to deliver continues improvement to existing products and offer new soluti...
- Recruiter: Helmet Integrated Systems / Gentex Corporation
- Cumbernauld, Glasgow
- Grade: 6/7* £26,537 - £37,768*
Work as part of a growing dynamic team on a wide range of technical projects with particular emphasis on experimental validation and testing
- Recruiter: University of Strathclyde
- Hatfield, Hertfordshire
Responsible for updating and writing electrical engineering standards, approved codes of practice and safe systems of work
- Recruiter: Affinity Water
- York, North Yorkshire
Senior electronics engineer to work as part of a team developing an MEG imaging system; working with the engineering team and external contractors.
- Recruiter: York Instruments
- Lostock Junction
- Competitive Salary & Benefits
Whats the opportunity? Manufacturing UK is an integral part of the Operations Directorate whose principal mission is to ensure that MBDAs deliverable commitments are met...
- Recruiter: MBDA
- Great Dunmow, Essex
This High Voltage Engineer will provide design leadership for high voltage cable assemblies up to one megavolt.
- Recruiter: Essex X-Ray & Medical Equipment
- Barrow-In-Furness, Cumbria, England
Team Leader - Flank Arrays Would you like to work in a unique role within the construction of the Astute Class submarines? We currently have a vacancy for a Team Leader - Flank Arrays at our site in Barrow-in-Furness. As a Team Leader - Flank Arrays, you
- Recruiter: BAE Systems
- circa £35,000 per annum + bonus
Develop new test equipment for the pharmaceutical industry. Good opportunities to grow and develop. Successful family-owned and managed business.
- Recruiter: Copley Scientific Ltd
- Shropshire, Telford, England
Bridge Test Facility ManagerWe currently have a vacancy for a Bridge Test Facility Manager at our site in Telford with our Land UK business.As the Bridge Test Facility Manager, you will be part of our Test & Trials team, working closely with the Mili
- Recruiter: BAE Systems
- Birmingham, West Midlands
Our transport technology team in Birmingham is currently growing a highly skilled and customer-focused team to...
- Recruiter: Mott MacDonald
Engineers boost cloud computing efficiency
Approach can improve performance by up to 20 per cent
Computer scientists at the University of California, San Diego, and Google have found a approach that allows the massive infrastructure powering cloud computing up to as much as 15 to 20 per cent more efficiently.
Computer scientists looked at a range of Google Web services, including Gmail and search, using a unique approach to develop their model.
Their first step was to gather live data from Google's warehouse-scale computers as they were running in real time.
Their second step was to conduct experiments with data in a controlled environment on an isolated server.
The two-step approach was key, said Lingjia Tang and Jason Mars, faculty members in the Department of Computer Science and Engineering at the Jacobs School of Engineering at UC San Diego.
"These problems can seem easy to solve when looking at just one server," said Mars. "But solutions do not scale up when you're looking at hundreds of thousands of servers."
The work is one example of the research Mars and Tang are pursuing at the Clarity (Cross-Layer Architecture and Runtimes) Lab at the Jacobs School, their newly formed research group.
"If we can bridge the current gap between hardware designs and the software stack and access this huge potential, it could improve the efficiency of web service companies and significantly reduce the energy footprint of these massive-scale data centres," Tang said.
Researchers sampled 65K of data every day over a three-month span on one of Google's clusters of servers, which was running Gmail.
When they analysed that data, they found that the application was running significantly better when it accessed data located nearby on the server, rather than in remote locations.
They also knew that the data they gathered was noisy because of other processes and applications running on the servers at the same time, so used statistical tools to cut through the noise. However, more experiments were needed.
Computer scientists then went on to test their findings on one isolated server, where they could control the conditions in which the applications were running.
During those experiments, they found that data location was important, but that competition for shared resources within a server, especially caches, also played a role.
"Where your data is versus where your apps are matters a lot," Mars said. "But it's not the only factor."
Servers are equipped with multiple processors, which in turn can have multiple cores.
Random-access memory is assigned to each processor, allowing data to be accessed quickly regardless of where it is stored.
However, if an application running on a certain core is trying to access data from another core, the application is going to run more slowly, and this is where the researchers' model comes in.
"It's an issue of distance between execution and data," Tang said.
Based on these results, computer scientists developed a novel metric, called the NUMA score, that can determine how well random-access memory is allocated in warehouse-scale computers.
Optimising the NUMA score can lead to 15 to 20 per cent improvements in efficiency.
Improvements in the use of shared resources could yield even bigger gains – a line of research Mars and Tang are pursuing in other work.
"We visit Barcelona, one of the smartest cities in the world, to find out what makes it so special. What does it look like and what is the future?"
- Turning sunlight into heat doubles solar cell efficiency
- Apple investigating electric vehicle charging stations
- Paul McCartney releasing virtual reality song featurettes
- Scania testing 5G networks for autonomous truck platoons
- Full colour e-ink display could bring magazines to Kindles
- Driverless truck inspired by animal behaviour