Intel Unveils New GPU Architecture with High-Performance Computing and AI Acceleration, and one API Software Stack with Unified and Scalable Abstraction for Heterogeneous Architectures
- Intel launches oneAPI, a unified and scalable programming model to harness the power of diverse computing architectures in the era of HPC/AI convergence.
- Intel introduces a general-purpose GPU optimized for HPC/AI acceleration based on the Xe architecture, code-named “Ponte Vecchio.”
- Intel unveils additional architectural details of the Aurora Supercomputer, delivering convergence at exascale at Argonne National Laboratory.
At Supercomputing 2019, Intel unveiled its vision for extending its leadership in the convergence of high-performance computing (HPC) and artificial intelligence (AI) with new additions to its data-centric silicon portfolio and an ambitious new software initiative that represents a paradigm shift from today’s single-architecture, single-vendor programming models.
Addressing the increasing use of heterogeneous architectures in high-performance computing, Intel expanded on its existing technology portfolio to move, store and process data more effectively by announcing a new category of discrete general-purpose GPUs optimized for AI and HPC convergence. Intel also launched the oneAPI industry initiative to deliver a unified and simplified programming model for application development across heterogeneous processing architectures, including CPUs, GPUs, FPGAs, and other accelerators. The launch of oneAPI represents millions of Intel engineering hours in software development and marks a game-changing evolution from today’s limiting, proprietary programming approaches to an open standards-based model for cross-architecture developer engagement and innovation.
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