In this video from ISC 2017, Sunita Chandrasekaran and Michael Wolfe describe how OpenACC makes GPU-accelerated computing more accessible to scientists and engineers.
“OpenACC is a user-driven directive-based performance-portable parallel programming model designed for scientists and engineers interested in porting their codes to a wide-variety of heterogeneous HPC hardware platforms and architectures with significantly less programming effort than required with a low-level model.”
[SPONSORED GUEST ARTICLE] Think of the Microsoft Azure cloud platform as analogous to a general contractor who brings together the most skilled and knowledgeable artisans, technologically speaking, offering the latest and most powerful advanced AI capabilities. This would include the latest NVIDIA AI hardware….
The high-performance computing (HPC) market is witnessing a notable shift towards the cloud, partially driven by the benefits of enhanced energy efficiency. According to Hyperion Research nearly every organization running HPC workloads is either already using or investigating the cloud to accelerate application performance, with the cloud market for HPC workloads forecast to reach $11.5 […]
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