This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
CSC – IT Center Science will, in collaboration with researchers in atmospheric- and environmental science.
The aim of this project is to demonstrate the solving quantum chemistry problems.
Information Technology Center (ITC), The University of Tokyo
Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython generates C extension modules, which can be used by the main Python program using the import statement.
Intel® PCC at the Hartree Centre is to enable UK academic and industrial codes to exploit the parallel and energy.
Matrix multiplication (MM) of two matrices is one of the most fundamental operations in linear algebra. The algorithm for MM is very simple, it could be easily implemented in any programming language. This paper shows that performance significantly improves when different optimization techniques are applied.
Intel® PCC for Scientific Rendering is to research and develop visualization techniques for Intel hardware.
The ONERA CFD department develops and supports fluid dynamics software for decades.
This case study examines the situation where the problem decomposition is the same for threading as it is for Message Passing Interface* (MPI); that is, the threading parallelism is elevated to the same level as MPI parallelism.