High performance computing hardware is really a software game, and the software we are referring to is at a very low level where deep expertise in libraries and solvers can make the difference between a capable device performing up to its specifications and, well, not so much. …
The use of FPGAs in HPC is limited less by the capabilities of current hardware and more by the challenges in programming them without sacrificing performance. …
Astronomy is the oldest research arena, but the technologies required to process the massive amount of data created from radio telescope arrays represents some of the most bleeding-edge research in modern computer science. …
At the last five annual Supercomputing Conferences, an underlying theme has been the potential of accelerators. …
The accelerator story for top supercomputers is a strong one, starting with GPUs, which were snapped in as coprocessors on some of the world’s largest systems over the last five years. …
No matter how elegant and clever the design is for a compute engine, the difficulty and cost of moving existing – and sometimes very old – code from the device it currently runs on to that new compute engine is a very big barrier to adoption. …
Changing the compute paradigm in the datacenter, or even extending it or augmenting it in some fashion, is no easy task. …
If you are an HPC center in Europe, and particularly one that is funded by public funds, you are thinking about Arm-based CPUs in your supercomputers. …
Over the past decade, much of the focus with machine learning has been on CPUs and accelerators, primarily GPUs but also custom ASICs, with advances in the chip architecture aimed at boosting parallel math performance. …
Some of the most important luminaries in the HPC sector have spoken from on high, and their conclusions about the future of the HPC market are probably going to shock a lot of people. …
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