Tag: financial services
This week we spoke with Jörg Lotze, CTO and cofounder of financial services-driven software firm, Xcelerit, about benchmarking accelerators, coprocessors, and multicore architectures with specific emphasis on how GPUs stack up against Intel Xeon Phi coprocessors. Lotze discussed the challenges and opportunities of each in the context of real-world Monte Carlo examples.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
The NASDAQ OMX group and Amazon Web Services have partnered to develop a cloud platform for financial institutions.
One of the largest financial institutions in the world is using FPGA-based supercomputing for analyzing some of its largest and most complex credit derivative portfolios. JP Morgan, along with Maxeler Technologies, has built and deployed a state-of-the art HPC system capable of number-crunching the company’s collateralized debt obligation (CDO) portfolio in near real-time.
The technology division for the New York Stock Exchange’s parent company has announced a community cloud for the financial services industry. The platform, set to come out of beta at the beginning of July could teach enterprises some valuable lessons about shared resources–for better or for worse.
An IBM representative informed Forbes that it financial services companies are interested in corporate PERCS.
According to a recent report from Excelian, grid computing has finally “grown up” which provides a window for users in the financial services industry to consider (and reconsider) best practices for distributed computing and evaluate variations on old models.
Turning the erstwhile graphics engine into a money-making machine.
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover the TeraGrid effort to support the Japanese research community; NNSA’s ‘Supercomputing Week’ coverage; Mellanox’s new double-duty switch silicon; Platform’s latest Symphony; and the Oracle Sun Server-based Sandia Red Sky/Red Mesa supercomputer upgrades.
It is often said that managing enterprise risk and micro risk is about finding the needle in the haystack. Predictive analytics uses powerful computers with large memory and storage to eliminate 90 percent of the hay, those “easy” decisions that a computer can handle effortlessly. The modeling systems then score the remaining 10 percent, prioritizing the activities of the human analysts and investigators to do what they do best, which is to make the optimal decision.