With the emergence of GPUs, xPUs (DPU, IPU, FAC, NAPU, etc.) and computational storage devices for host offload and accelerated processing, a panoramic wild west of frameworks is emerging, all vying to be one of the preferred programming software stacks that best integrates the application layer with these underlying processing units. On October 26, 2022, the SNIA Networking Storage Forum will break down what’s happening in the world of frameworks in our live webcast, “You’ve Been Framed! An Overview of Programming Frameworks for xPU, GPU & Computational Storage Programming Frameworks.” We’ve convened an impressive group of experts that will provide an overview of programming frameworks that support:

1. GPUs (CUDA, SYCL, OpenCL, oneAPI)
2. xPUs (DASH, DOCA, OPI, IPDK)
3. Computational Storage (SNIA computational storage API, NVMe TP4091 and FPGA programming shells)

We will discuss strengths, challenges and market adoption across these programming frameworks: • AI/ML: OpenCL, CUDA, SYCL, oneAPI • xPU: DOCA, OPI, DASH, IPDK • Core data path frameworks: SPDK, DPDK • Computational Storage: SNIA Standard 0.8 (in public review), TP4091 Register today and join us as we untangle the alphabet soup of these programming frameworks.