Learn how different industries and research fields apply code modernization techniques.
Energy and Seismology
Improving the performance of software applications is a constant challenge for software developers in the oil and gas industry. See how performance analysis, threading, vectorization, math library usage, and compiler optimization can help get faster results in the fields of energy and seismic imaging.
Empowering Oil and Gas Applications using Intel® Software Development Tools
Oil and Gas Research: The Intel® Parallel Computing Center at LSU CCT
Optimize Seismic Image Processing
Porting and Tuning of Lattice QCD & MPI-HMMER
One goal of Life Sciences is to find treatments and cures for neurological disorders, such as schizophrenia, epilepsy, and autism. Algorithms and code for cell clustering, 3D movement, and brain development help researchers in this field, and parallel performance techniques aid them further by helping to optimize the code to reduce the run time of these applications -- all while maintaining correctness.
Optimized Code for Neural Cell Simulations
An Interview with Roman Bauer: Using Modern Code to Simulate Brain Development
An Interview with Lukas Breitweiser: Using Modern Code to Simulate Brain Development
Improving Brain Research Worldwide through Modern Code techniques
Weather and Physics
Weather forecasting is a crucial aspect of modern life, enabling efficient planning and logistics, while protecting life and property through timely warnings of severe conditions. Learn how fluid dynamics and code modernization techniques can help address complex problems, often involving enormous data sets and requiring code that is better optimized to leverage the most advanced computer hardware features available.
Whatever the Weather: The Intel Five-Step Framework from Intel for Code Modernization
A Weather Research and Forecasting Model
High-Performance and Modern Code Optimizations for Computational Fluid Dynamics
From Correct to Correct and Efficient: A Case Study with miniMD
From Correct to Correct and Efficient: A Case Study with Hydro2D
Lab Exercise: Molecular Dynamics on Intel® Xeon Phi™ Coprocessor
Classical Molecular Dynamics Simulations with LAMMPS
Learn how parallel computing, vectorization and vector loops in OpenMP may improve performance in Black Scholes, Monte Carlo, Bond, and Repo financial modeling techniques.
Webinar Replay: Parallelized Financial Algorithms such as Binomial Option, Monte Carlo, and LIBOR
Accelerating Financial Applications
Achieving Superior Performance on Black Scholes Valuation
Examples for Financial Services