I hear that some Hedge Funds and Institutional Investors are going beyond HFT trading by doing Parallel programming of heterogeneous systems using power of CPU, GPU and FPGA for ultimate ultra low latency trading system. This system enqables them to complete the trading process in couple of micro seconds, till date its the fast system [...]
Posts Tagged ‘Stock trading system’
GPU (CUDA) supercomputing technologies for real-time financial trading and risk
Posted: 08/02/2011 in Consulting, IT Outsourcing, Trading SoftwareTags: algo trading, Algorithmic trading, algorithmic trading or automated trading, Business, c++, Core Java, CUDA, electronic trading systems, Field-programmable gate array, GPU, GPU (CUDA) supercomputing technologie, GPU programming, Graphics processing unit, Hedge fund, high performance computing (HPC), Java trading System, low latency, s, Stock trading system, Supercomputer, Technology, ultra low latency, Ultra low latency connectivity, Ultra low latency trading, Wall Street
First it was FPGA technology now its time for (GPU programming / high performance computing HPC) Graphical Processing Unit supercomputing technologies. GPU supercomputing is perfect for Trading Systems for its ability to speed up many types of financial calculations. GPU (CUDA) supercomputing technologies has made significant inroads into financial analytics and risk arena what looks like a silent revolution on Wall Street. [...]
Oracle’s Java for Trading Systems Development, Speed and Performance?
Posted: 08/01/2011 in Consulting, IT Outsourcing, Trading SoftwareTags: .net, c++, Core Java, Development, Google, Java, Java for Trading Systems, java trading architecture, Java trading software, Java trading System, Java Virtual Machine, java-based, Languages, microsoft, open source, oracle, Oracle Corporation, Programming, Stock trading system, sun, Sun Microsystems, trading bundle
After Sun its Oracle turn to try out novel development using Java. Oracle is focusing on building a Java-based pre-engineered trading bundle this year in order to facilitate fast deployment and “fewer moving parts” to deal with for its customers. This development is aimed at tackling the challenge of performance versus time to market in the low latency trading architecture space. It would [...]