Learn about the Blach-Scholes benchmark, part of the benchmark suite of multithreaded programs that comprise the Princeton Application Repository for Shared-Memory Computers (PARSEC).
Contrast results for manually tuning financial data and using data layout templates in the Intel® C++ Compiler.
New features and enhancements available in the second generation Intel® Xeon® processor Scalable family and how developers can take advantage of them
This is an exercise in performance optimization on heterogeneous Intel architecture systems based on multi-core processors and manycore (MIC) coprocessors.
Case Study: Achieving High Performance on Monte Carlo European Option Using Stepwise Optimization FrameworkRead this case study that discusses the Monte Carlo method of statistical computing to solve complex scientific computing problems.
This article introduces Vector API to Java* developers. It shows how to start using the API in Java programs, and provides examples of vector algorithms. It provides step-by-step details on how to build the Vector API and build Java applications using it. It provides the location for downloadable binaries for Project Panama binaries.
Case study discusses Intel® Advanced Vector Extensions (Intel® AVX), gives an overview of Black-Scholes valuation.
One Stop for Optimizing Your Data Center From AI to Big Data to HPC: End-to-end Solutions
By: Aditi Rathi (Intel) and Shailender Sharma (Gati) ABSTRACT
Learn more about an in-depth analysis of code modernization performance conducted by optimizing original CPU code and re-running tests on the latest GPU/CPU hardware.