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Choosing the Best Data Flow Design for GPU Accelerated Applications

In this sponsored article from our friends over at Supermicro, we discusses how deciding on the correct type of GPU accelerated computation hardware depends on many factors. One particularly important aspect is the data flow patterns across the PCIe bus and between GPUs and Intel® Xeon® Scalable processors. These factors, along with some application insights are explored below.

Intelligent Video Analytics Pushes Demand for High Performance Computing at the Edge

In this special guest feature, Tim Miller, VP of Product Marketing at One Stop Systems (OSS), writes that his company is addressing the common requirements for video analytic applications with its AI on the Fly® building blocks. AI on the Fly is defined as moving datacenter levels of HPC and AI compute capabilities to the edge.

How the European Processor Initiative is Leveraging RISC-V for the Future of Supercomputing

In this special guest feature, Calista Redmond writes that the European Processor Initiative is designing an HPC accelerator based on RISC-V. “The accelerator will be designed for high throughput and power efficiency within the general purpose processor (GPP) chip. The EPI explains that using RISC-V enables the program to leverage “open source resources at [the] hardware architecture level and software level, as well as ensuring independence from non-European patented computing technologies.”