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DOE’s E4S Software Stack Takes An Extreme Step Towards Exascale
For exascale hardware to be useful, systems software is going to have to be stacked up and optimized to bend that hardware to the will of applications. …
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Burying The OpenMP Versus OpenACC Hatchet
I have been frequently asked when the OpenMP and OpenACC directive APIs for parallel programming will merge, or when will one of them (usually OpenMP) will replace the other. …
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Two Thirds of The Way Home With Exascale Programming
To effectively make use of the level of concurrency in forthcoming exascale systems – hundreds of thousands of compute elements with millions of threads – requires some new thinking, both by programmers and in development tools. …
AI
Reading Between the MLPerf Lines
Every important benchmark needs to start somewhere.
The first round of MLperf results are in and while they might not deliver on what we would have expected in terms of processor diversity and a complete view into scalability and performance, they do shed light on some developments that go beyond sheer hardware when it comes to deep learning training. …
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Programmable Networks Get a Bigger Foot In The Datacenter Door
Barefoot Networks is on a mission, and it is a simple one: To give datacenter switches the same kind of openness and programmability that X86 servers have enjoyed for decades in the datacenter. …
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OpenMP Reaches Into The Parallel Universe Of GPUs
OpenMP is probably the most popular tool in the world to parallelize applications running on processors, but ironically it is not a product, but rather a specification that those who make compilers and middleware use to implement their own ways of parallelizing code to run on multicore processors and now, GPU accelerators. …
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OpenACC: Things Are Getting Simpler More Quickly
OpenACC is one of the prongs in a multi-prong strategy to get people to port the parallel portions of HPC applications to accelerators. …
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Compiling History To Understand The Future
If you want to understand where we are going with computer architectures and the compilers that drive them, it is instructive to look at how compilers have made the leap from architecture to architecture starting six decades ago. …
AI
Self-Creating Neural Networks That Explain Themselves
On the hardware side, the next frontier for deep learning innovation will be in getting the performance, efficiency, and accuracy needed for inference at scale. …
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Slashing HPC Energy Costs With Automated, Dynamic Optimization
A high-end supercomputer consumes nearly as much energy as a small city, which creates significant budgetary concerns for organizations that deploy and manage these systems. …