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Reflections on Deep Learning, DNNs, and AI on Wall Street

In this special guest feature, Bob Fletcher from Verne Global reflects on the recent HPC and AI on Wall Street conference. “Almost every organization at the event talked about their use of machine learning and some indicated what would make them extend it into full-scale deep learning. The most important criteria were the appropriateness of the DNN training techniques.”

How Financial Services Can Fuel Innovation with GPU Computing

The financial services and insurance sector is one of the most data-intensive industries in modern business. Unfortunately, that abundance of information has hindered the extraction of business value from data. However, improvements in technology can take data-related challenges that had, until recently, been considered impossible to overcome. Download the new white paper from Penguin Computing that highlights how financial services and insurance firms can benefit from GPU computing and spur innovation and future technological developments. 

Radio Free HPC Looks at How Blockchain Will Create the Internet of Value

In this podcast, the Radio Free HPC team looks at blockchain technology with Chris Skinner, author of ValueWeb – How FinTech firms are using mobile and blockchain technologies to create the Internet of Value. “The Internet of Value, or ValueWeb for short, allows machines to trade with machines and people with people, anywhere on this planet in real-time and for free. Using a combination of technologies from mobile devices and the bitcoin blockchain, fintech firms are building the ValueWeb. The question then is what this means for financial institutions, governments and citizens?”

Parallel Methods in Financial Services for Intel Xeon Phi

Basic optimization techniques that include an understanding of math functions and how to simplify can go a long way towards better performance. “When optimizing for a parallel SIMD system such as the Intel Xeon Phi coprocessor, it is also important to make sure that the results match the scalar system. Using vector data may cause parts of the computer program to be re-written, so that the compiler can generate vector code.”

Financial Services and Low Latency with Intel Xeon Phi

“With high frequency trading becoming so important, the overall system performance, starting with the acquisition of the data from various markets through to the buy or sell decision relies on low latency between various parts of the system. The feed handlers, which accept the data in various formats, can be multithreaded and take advantage of coprocessors such as the Intel Xeon Phi. The NIC on a system waits for the packets to arrive and can then the information to a specified core on the Intel Xeon Phi coprocessor system for processing.”

DDN Sets World Record STAC Performance

Today DDN announced record performance on the Securities Technology Analysis Center (STAC) benchmark. Using the company’s EXAScaler storage solution, DDN set new public records for multiple workload types and sizes, including large and small workloads as well as I/O and compute-intensive workloads.

Interview: How Univa Short Jobs Brings Low Latency to Financial Services

With the launch of Univa Small Jobs add-on for Univa Grid Engine, the company, the company offers “the world’s most efficient processing and lowest latency available for important tasks like real-time trading, transactions, and other critical applications.” To learn more, we caught up with Univa President & CEO Gary Tyreman.