To address the lack of an industry-standard interface for math libraries and provide a single, cross-architecture API for CPUs and accelerators, Intel released the oneAPI Math Kernel Library (oneMKL) open source interface.
Last week Intel released an initial set of micro-benchmarks for their oneAPI Level Zero and with L0 support being plumbed into their open-source Intel Compute Runtime, this weekend I started toying around with some Level Zero benchmarks on a variety of Intel processors.
Programming languages are a dime a dozen; throw a rock in any direction and you’ll hit one. Question is … can you use any of them to program data-centric applications that are deployable across CPUs, GPUs, FPGAs, and AI accelerators? You can now.
Today Intel introduced the oneAPI DevCloud to make it easier and more productive for coders currently working from home.
As part of its Virtual Game Developers Conference (GDC) 2020, Intel has put a presentation online detailing the features of its oneAPI Rendering Toolkit that are applicable for games. These libraries include Embree, OSPRay, Open VKL, OpenSWR and Open Image Denoise. Intel also announced that some will receive GPU support soon.
In this podcast, the Radio Free HPC team looks at Intel’s oneAPI project.
Intel has added bare-metal oneAPI support to its open-source Graphics Compute Runtime for OpenCL and oneAPI, according to a Phoronix report on Monday. This brings oneAPI Level Zero to Linux.
Intel’s open-source Compute Runtime for OpenCL and now oneAPI support on Linux has added oneAPI Level Zero support. Read more
In this video from the Intel HPC Developer Conference, Bill Savage from Intel presents: oneAPI: Single Programming Model to Deliver Cross-Architecture Performance. Read More
At The Next FPGA Platform event in San Jose, California on January 22, Jose Alvarez, Intel PSG CTO, Jose Alvarez outlined the three levels of heterogeneous integration. Read More
In this article, we’ll dive into the newly announced oneAPI, a single, unified programming model that aims to simplify development across multiple architectures, such as CPUs, GPUs, FPGAs and other accelerators. Read More
Writing software to run efficiently on today’s heterogeneous compute architectures is an ongoing challenge made increasingly difficult by the growing number of processor and accelerator choices. Read More
Codeplay has been a part of the SYCL™ community from the beginning, and our team has worked with peers from some of the largest semiconductor vendors including Intel and Xilinx for the past 5 years to define the SYCL standard. Read More
The Khronos SYCL standard as a single-source C++-based programming model for OpenCL is one of the exciting elements for Intel’s GPU compute plans with the forthcoming Xe graphics cards and fits into their oneAPI umbrella. Read More
The SYCL programming model from Khronos is a single-source C++ open-standard programming model for programming heterogeneous systems. Read More
Moving an application to a new processor type or chip vendor means creating an entirely new code base. Read More