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At SC20: Intel Provides Aurora Update as Argonne Developers Use Intel Xe-HP GPUs in Lieu of ‘Ponte Vecchio’

In an update to yesterday’s “Bridge to ‘Ponte Vecchio'” story, today we interviewed, Jeff McVeigh, Intel VP/GM of data center XPU products and solutions, who updated us on developments at Intel with direct bearing on Aurora, including the projected delivery of Ponte Vecchio (unchanged); on Aurora’s deployment (sooner than forecast yesterday by industry analyst firm Hyperion Research); on Intel’s “XPU” cross-architecture strategy and its impact on Aurora application development work ongoing at Argonne; and on the upcoming release of the first production version of oneAPI (next month), Intel’s cross-architecture programming model for CPUs, GPUs, FPGAs and other accelerators.

oneAPI Academic Center of Excellence Opened at Heidelberg University Computing Center for Hardware Heterogeneity

A oneAPI Academic Center of Excellence (CoE) is now established at the Heidelberg University Computing Center (URZ). The CoE will conduct research supporting the oneAPI industry initiative to create a uniform, open programming model for heterogeneous computer architectures. URZ will focus its research and programming efforts on a fundamental high-performance computing (HPC) challenge where modern […]

Brightskies Deploys Open Source RTM Application for Easy Optimization across Multiple Architectures

In this sponsored post on behalf of Intel, we see that in today’s high-performance computing applications, many different pieces of hardware can perform data-centric functions. With diverse accelerators entering the market, programming for multiple architectures has created significant development barriers for software developers.

New, Open DPC++ Extensions Complement SYCL and C++

In this guest article, our friends at Intel discuss how accelerated computing has diversified over the past several years given advances in CPU, GPU, FPGA, and AI technologies. This innovation drives the need for an open and cross-platform language that allows developers to realize the potential of new hardware, minimizes development cost and complexity, and maximizes reuse of their software investments.

SeRC Turns to oneAPI Multi-Chip Programming Model for Accelerated Research

At ISC 2020 Digital, the Swedish e-Science Research Center (SeRC), Stockholm, has announced plans to use Intel’s oneAPI unified programming language by researchers conducting  massive simulations powered by CPUs and GPUs. The center said it chose the oneAPI programming model, designed to span CPUs, GPUs, FPGAs and other architectures and silicon,  to accelerate compute for research using GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics software, developed by SeRC and first released in 1991

Podcast: A Shift to Modern C++ Programming Models

In this Code Together podcast, Alice Chan from Intel and Hal Finkel from Argonne National Lab discuss how the industry is uniting to address the need for programming portability and performance across diverse architectures, particularly important with the rise of data-intensive workloads like artificial intelligence and machine learning. “We discuss the important shift to modern C++ programming models, and how the cross-industry oneAPI initiative, and DPC++, bring much-needed portable performance to today’s developers.”

Breaking Boundaries with Data Parallel C++

“There’s a new programming language in town. Called Data Parallel C++ (DPC++), it allows developers to reuse code across diverse hardware targets—CPUs and accelerators—and perform custom tuning for a specific accelerator. DPC++ is part of oneAPI—an Intel-led initiative to create a unified programming model for cross-architecture development. Based on familiar C++ and SYCL, DPC++ is an open alternative to single-architecture proprietary approaches and helps developers create solutions that better meet specialized workload requirements.”

New Intel oneAPI DevCloud makes it easier for coders working from home

Today Intel introduced the oneAPI DevCloud to make it easier and more productive for coders currently working from home. “Developing code at home requires access to compute cycles, the latest software development tools, access across diverse hardware architectures—CPUs, GPUs, and FPGAs, and expanded storage capabilities. Through the new oneAPI DevCloud, Intel aims to provide extended access, capacity and support for oneAPI developers working from home.”

Video: How oneAPI Is Revolutionizing Programming

In this video, academics and industry experts weigh in on the potential of oneAPI, the new, unified software programming model for CPU, GPU, AI, and FPGA accelerators that delivers high compute performance for emerging specialized workloads across diverse compute architectures. 

oneAPI: Single Programming Model to Deliver Cross-Architecture Performance

Bill Savage from Intel gave this talk at the Intel HPC Developer Conference. “Learn about oneAPI, the new Intel-led industry initiative to deliver a high-performance unified programming model specification spanning CPU, GPU, FPGA, and other specialized architectures. It includes the Data Parallel C++ cross-architecture language, a set of libraries, and a low-level hardware interface. Intel oneAPI Beta products are also available for developers who want to try out the programming model and influence its evolution.”