At ISC 2024, we spoke with Andrew Richards, CEO of Codeplay Software, an Intel company based in Edinburgh. Richards tells us about Codeplay’s role in supporting the ecosystem for oneAPI, Intel’s unified programming model ....

The post At ISC 2024: Intel’s Open Software Strategy for HPC and AI appeared first on High-Performance Computing News Analysis | insideHPC.

At ISC 2023, we caught up with Joe Curley, Intel vice president and general manager, Software Products and Ecosystem, who updated us on Intel’s strategic support for multi-architecture computing. Our discussion highlighted the open standard oneAPI unified application programming interface, adopted by Intel, which is used across different compute accelerator architectures, including GPUs, AI accelerators […]

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We’ve heard so much about the CXL interconnect – including the recent announcement of CXL v3.0 – and components that are CXL-ready, that it may come as a surprise that CXL v1.1 “hosts” are only just now shipping. It’s a technology that could play a central role in the ever-more heterogenous, more memory-intensive systems of the future. And now, after several years of experimentation and various interconnect consortia, CXL is emerging as the standard for advanced functionality for fabric technologies. Along with CXL we also discuss some of the details of the CHIPS and Science Act....

The post @HPCpodcast: CXL News, the CHIPS Act, Chips and Nm and Chip ‘Sprawl’ appeared first on High-Performance Computing News Analysis | insideHPC.

The post Intel Releases oneAPI 2022 Toolkits appeared first on High-Performance Computing News Analysis | insideHPC.

Intel has unveiled a programmable networking device for hyperscalers and their massive data center infrastructures. Called the Infrastructure Processing Unit and announced at Intel made the announcement during the Six Five Summit, it’s a networking device is intended to help cloud and communication service providers cut overhead and free up performance for CPUs, to better utilize […]

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In this interview, GigaIO CEO Alan Benjamin talks about systems performance problems and wasted compute resources when implementing ML, HPDA and other high demand workloads that involve high data volumes. At issue, Benjamin explains, is today’s rack architecture, which is decades old and unsuited for combinations of CPUs, GPUs and other accelerators needed for advanced computing strategies. The answer: the “composable disaggregated infrastructure.”

The post Video: GigaIO on Optimizing Compute Resources for ML, HPDA and other Advanced Workloads appeared first on High-Performance Computing News Analysis | insideHPC.

In this video, Philip Harris from MIT presents: Heterogeneous Computing at the Large Hadron Collider. "Only a small fraction of the 40 million collisions per second at the Large Hadron Collider are stored and analyzed due to the huge volumes of data and the compute power required to process it. This project proposes a redesign of the algorithms using modern machine learning techniques that can be incorporated into heterogeneous computing systems, allowing more data to be processed and thus larger physics output and potentially foundational discoveries in the field."

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