A machine learning pipeline is used to help automate machine learning workflows. They operate by enabling a sequence of data to be transformed and...
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Data centers are the inspiration of the digital world. Without them, there would be limited growth capacity in Cloud computing, IoT, 5G, Big Data, and AI....
Parallel computing is a term that is frequently used in the software industry. With more complex computational problems, the use of serial computing is...
Unified Shared Memory (USM) is as an alternative to buffers for managing and accessing memory from the host and device. USM Requires hardware support...
For all that we’re unable to attend or would like to recap our live webinar Unleash the Secrets of Performance Profiling with Intel® oneAPI...
Hyperconvergence has been described as “the best of both worlds” by some data center administrators and industry observers, who see the model as offering...
The Intel® DPC++ Compatibility Tool assists in migrating an existing CUDA code to Data Parallel C++ (DPC++) code. The steps for migration are easy...
This is a demonstration of the previously explained code. We need to source either oneAPI from our system (usual path : /opt/intel/oneapi/setvars.sh) or source...
This example demonstrates the addition of two vectors using DPC++. A “Vector Add” Code in DPC++ is a single source and easy to understand...
Data Parallel C++ (DPC++) is an open alternative to single-architecture proprietary languages. It allows developers to reuse code across different hardware targets (CPUs and...