BittWare, a Molex company, a leading supplier of enterprise-class accelerators for edge and cloud-computing applications, today announced the expansion of its IA-Series of FPGA accelerators featuring Intel® Agilex™ FPGAs.

The highlight of this action-packed workshop was the breadth and depth of its content that focused on the programming challenges for multiple architectures.

The Level-Zero API supports virtual functions, function pointers, unified memory, device partitioning, instrumentation and debugging as well as control of power management, control of frequency and hardware diagnostics, just to name a few.

At the SmartDev conference on May 20, 2021, Sber announced the expansion of the capabilities of SberCloud ML Space — an integrated cloud platform for the development and implementation of AI services.

Today, as part of the oneAPI industry initiative, we released a third in a family of open source math interfaces. The goal of open-sourcing the oneAPI Math Kernel Library (oneMKL) interface is to address the lack of an industry-standard interface and provide a single, cross-architecture API for CPUs and accelerators.

In this regular feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here.

Intel announced the winners of the Great Cross-Architecture Challenge, a collaboration with the European Organization for Nuclear Research (CERN) and Argonne National Laboratory, and run by CodeProject.

Released this week was Intel’s open-source oneAPI Level Zero v1.2.3 for the headers and loader based on their public oneAPI Level Zero specification.

The University of Heidelberg, a oneAPI Center of Excellence posted a blog about the hipSYCL 0.9.0 release. hipSYCL 0.9.0 incorporates features from the SYCL 2020 specification, which were innovated in oneAPI’s Data Parallel C++, which provides a unified cross-architecture and cross-vendor programming model.

A set of Advanced Ray Tracing APIs are being made available for comment and inclusion in the oneAPI Specification. The rapid growth of ray tracing compute across film, scientific visualization, design, and gaming suggests adding these APIs to the oneAPI specification for XPU architectures will help foster robust and efficient development in this area.