Api Base Toolkit News Today

CUDA's closed-source nature has left many scientific research facilities, AI startups and enterprises struggling with their dependency.

In this article we explore how using oneAPI the software-development paradigm changes and targeting and maintaining multiple execution environments for a given workload becomes more easily achievable

Intel hopes to deliver up to 4.4x faster graphics and 6.6x AI inference to the edge and has lined up hybrid IoT chips up to 14C/20T and 45W power.

Nvidia has something that Intel and AMD covet. No, it’s not GPUs. Intel and AMD both make GPUs. However, they don’t have Nvidia’s not-so-secret weapon that’s a close GPU companion: CUDA, the parallel programming language that allows developers to harness GPUs to accelerate general-purpose (non-graphics) algorithms. Since its introduction in 2006, CUDA has become a…

This article provides an overview of LLVM and how it applies to oneAPI and its compiler.

This document demonstrates how a linear algebra Jacobi iterative method written in CUDA* can be migrated to the SYCL* heterogenous programing language.

This article focuses on tuning and scaling a deep-learning-based algorithm on a cluster of compute nodes.

This article examines how Intel provides standardized specifications that streamline this environment.

This article is a hands-on look at using the Intel oneAPI DPC++/C++ Compiler for compiling SYCL code built for cross-architecture deployment.