One Cerebras Wafer Beats An Exascale Super At Molecular Dynamics
We think that waferscale computing is an interesting and even an inevitable concept for certain kinds of compute and memory. …
We think that waferscale computing is an interesting and even an inevitable concept for certain kinds of compute and memory. …
The difference between “high performance computing” in the general way that many thousands of organizations run traditional simulation and modeling applications and the kind of exascale computing that is only now becoming a little more commonplace is like the difference between a single, two door coupe that goes 65 miles per hour (most of the time) and a fleet of bullet trains that can each hold over 1,300 people and move at more than 300 miles per hour, connecting a country or a continent. …
A few years ago, it was hard to imagine how AMD would have survived without re-entering the datacenter with its CPU and GPU compute engines. …
More than a decade ago, executives at Arm Ltd saw the energy costs in datacenters soaring and sensed an opportunity to extend the low-power architecture of its eponymous systems-on-a-chip that has dominated the mobile phone markets from the get-go and took over the embedded device market from PowerPC into enterprise servers. …
How many cores is enough for server CPUs? All that we can get, and then some. …
In 2024, there is no shortage of interconnects if you need to stitch tens, hundreds, thousands, or even tens of thousands of accelerators together. …
We like datacenter compute engines here at The Next Platform, but as the name implies, what we really like are platforms – how compute, storage, networking, and systems software are brought together to create a platform on which to build applications. …
Pat Gelsinger, current chief executive officer at Intel and formerly the head of its Data Center Group as well as its chief technology officer, famously invented the tick-tock method of chip launches to bring some order and reason to the way the world’s largest chip maker – as it was in the mid-2000s – mitigated risk and spurred innovation in its products. …
For a lot of state universities in the United States, and their equivalent political organizations of regions or provinces in other nations across the globe, it is a lot easier to find extremely interested undergraduate and graduate students who want to contribute to the font of knowledge in high performance computing than it is to find the budget to build a top-notch supercomputer of reasonable scale. …
In many ways, the “Grace” CG100 server processor created by Nvidia – its first true server CPU and a very useful adjunct for extending the memory space of its “Hopper” GH100 GPU accelerators – was designed perfectly for HPC simulation and modeling workloads. …
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