Visit additional Tabor Communication Publications
July 24, 2012
LONDON, July 24 -- Maxeler, pioneer of Maximum Performance Computing, is delighted to announce two senior management appointments. The senior executives will join the existing team of specialists in applying high-performance computing to deliver previously infeasible levels of risk calculations to financial organizations.
Stephen Weston, previously Managing Director and Global Head of Applied Analytics at J.P. Morgan, joins Maxeler as Chief Development Officer (CDO).
Steven Hutt, formerly Managing Director and Global Head of Credit Analytics at UBS, joins as Vice-President of Client Analytics.
Oskar Mencer, Founder and CEO of Maxeler, said he was delighted about the new senior additions to the team: “It has always been our aim to provide complete solutions to computational problems that move our clients an order of magnitude beyond the competition. Clearly, such a disruptive technology requires industry leaders to drive the transformation of the business”
“With the knowledge and experience that both Stephen and Steve bring to Maxeler, we are in an excellent position to transform both the business and process of financial computation,” he added.
At J.P. Morgan, Stephen Weston led the Applied Analytics Group responsible for accelerating mathematical models for trading and risk management. Prior to joining J.P. Morgan, Stephen Weston also held senior quantitative and risk positions at several other major investment banks. He holds a PhD in mathematical finance from Cass Business School.
Commenting on his new role as Chief Development Officer at Maxeler, he said: “The overwhelming benefits of dataflow technology are directly measurable and undeniable. Having experienced them first-hand at J.P. Morgan, my new mission is to help the finance industry understand the revolution in value that this technology brings through making real-time computation and scenario analysis feasible, for both the largest and the most complicated problems.”
Prior to joining Maxeler, Steve Hutt lead the Credit Analytics team responsible for the design and implementation of all credit models used in front office trading at UBS. He has extensive experience in mathematical modeling for finance, risk and scenario analysis in both a trading and regulatory context. Before working at UBS, Steve held similar positions at Morgan Stanley and BNP Paribas. He holds a PhD in Mathematics from the University of Edinburgh and held several academic positions prior to working in finance.
He stated: “Banks have an unquenchable thirst for more compute power and it’s only going to get worse, so they are really struggling. They also have large, complicated IT systems and need solutions that seamlessly integrate. At J.P. Morgan, Maxeler has shown that they can deliver on both counts. Dataflow technology is going to be the future – my goal is to help the finance sector be part of it.”
Maxeler Technologies, Inc. pioneers Maximum Performance Computing. The award-winning company delivers competitive advantage through combining its dataflow solutions with specialist consulting to achieve maximum performance computing (MPC). A ‘Cool Vendor’ in Gartner’s High-Performance Computing and Extremely-Low-Energy Servers 2012 report, Maxeler’s complete and scalable solutions include hardware platforms, software programming tools and application consulting. Its technology enables organisations to speed up processing times by 20-50x, with over 90% reduction in energy usage and over 95% reduction in data centre space. Please visit www.maxeler.com for more information.
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
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).
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
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.
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.