The Future of Programming GPU Supercomputers
There are few people as visible in high performance computing programming circles as Michael Wolfe—and fewer still with level of experience. …
There are few people as visible in high performance computing programming circles as Michael Wolfe—and fewer still with level of experience. …
The dark and mysterious art of artificial intelligence and machine learning is neither straightforward, or easy. …
On today’s episode of “The Interview” with The Next Platform we discuss the art and science of tuning high performance systems for maximum performance—something that has traditionally come at high time cost for performance engineering experts. …
On today’s episode of “The Interview” with The Next Platform we talk with Doug Miles who runs the PGI compilers and tools team at Nvidia about the past, present, and future of OpenACC with an emphasis on what lies ahead in the next release. …
While it is possible to reap at least some benefits from persistent memory, for those that are performance focused, the work to establish an edge is getting underway now with many of the OS and larger ecosystem players working together on new standards for existing codes. …
From DRAM to NUMA to memory non-volatile, stacked, remote, or even phase change, the coming years will bring big changes to code developers on the world’s largest parallel supercomputers. …
There has been much recent talk about the near future of code writing itself with the help of trained neural networks but outside of some limited use cases, that reality is still quite some time away—at least for ordinary development efforts. …
Just before the large-scale GPU accelerated Titan supercomputer came online in 2012, the first use cases of the OpenACC parallel programming model showed efficient, high performance interfacing with GPUs on big HPC systems. …
It would be hard to find a business that has been more proprietary, insular, and secretive than the networking industry, and for good reasons. …
It would be interesting to find out how many recent college graduates in electronics engineering, computer science, or related fields expect to roll out their own silicon startup in the next five years compared to similar polls from ten or even twenty years ago. …
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