This whitepaper reflects a collaboration effort between Thomas Jefferson National Accelerator Facility and Intel Corporation on optimizing Quantum optimizing Chromo-dynamics (QCD) code for Intel(R) Xeon Phi(tm) Coprocessor. This work as published during the International Supercomputing Conference (ISC'13) in June 2013.
Transparent Huge Pages
Improving the performance software applications is a constant challenge for software developers in the financial services industry. This webinar provides an overview of how to accelerate these computations, especially Monte Carlo and Black-Scholes, using a combination of the new Intel® Xeon Phi™ coprocessor and the Intel® Parallel Studio XE suite of software development tools. Areas explored include performance analysis, threading, vectorization, math library usage and compiler optimization.