CodeModernization

Chinese CSP JD found it could achieve 3.83x increased performance using its existing servers based on the Intel® Xeon® processor E5 family. Using BigDL to deploy its existing Caffe* model on servers where the data is stored, and optimizations using the Intel® Math Kernel Library, the company established an agile platform that can now be used to create new DL and AI applications, and reduced its TCO by reusing existing hardware estate for image analysis.

Field programmable gate arrays (FPGAs) not only are capable of high performance, they’re wonderfully malleable—configurable to match the application rather than the other way around. Because of this freedom, FPGA app developers have come to rely on tools and languages (specifically HDLs) used by hardware designers, rather than software programmers. But that’s changing. Find out the Intel® FPGA SDK for OpenCL™ technology provides an alternative to HDL programming.

For over a decade, Python* has topped the short list of high-productivity languages and is one of the most popular abstractions to scientific computing and machine learning … even though the base Python language remains single-threaded. In the age of parallelism, how does this language remain performant? Find out.

Binary floating-point representation of most numbers is inexact; the same computation repeated under different conditions delivers different results ... a problem when exact reproducibility is vital (e.g., quality control apps). Intel® Software Development Tools can bridge the gap.