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How HPC Enables Drug Design, and AstraZeneca Lessons in HPC

Dell Technologies HPC Community Event

HPC and accelerator-driven computing have become pivotal to drive research in Pharma. Where 5 years ago less than 1% of the researchers actively used HPC resources, AstraZeneca is driving a clear strategy to gain the majority of insights by 2025 through data and AI. This ambition is leading to a constant change in how our researchers work and are presenting an unstoppable appetite for computing.

We will discuss the journey of the last 5 years renewing the approach we are taking towards high-performance computing, explore use cases that are leveraging compute in significantly different ways, driving our research in innovative ways, and share an outlook and vision into our future direction.

To register https://dell.zoom.us/webinar/register/WN_LNxAOzXRQQyW_3nYwmwBnA

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Graphics Trace Analyzer Deep Dive (Part 1)

Graphics Trace Analyzer Deep Dive | Part 1 | Configure and Capture a Trace | Intel Software

This video will demonstrate fundamental trace capture capabilities in Graphics Monitor that will aid in the configuration of a variety of performance data available for graphics application analysis trace files in Graphics Trace Analyzer.

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Researchers Train Fluid Dynamics Neural Networks on Supercomputers

Fluid dynamics simulations are critical for applications ranging from wind turbine design to aircraft optimization. Running these simulations through direct numerical simulations, however, is computationally costly. Many researchers instead turn to large-eddy simulations (LES), which generalize the motions of a given fluid in order to reduce the computational costs – but these generalizations lead to tradeoffs in accuracy. Now, researchers are using supercomputers at the High-Performance Computing Center Stuttgart (HLRS) to help make those more accurate simulations accessible to more researchers.

 

For more information, do take a look at Researchers Train Fluid Dynamics Neural Networks on Supercomputers

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Intel turns to TSMC: another step towards fabless?

The recent news that Intel will turn to TSMC to mass produce CPU products signals a new era in the processor IDM/foundry arena. The production is slated to start in the second half of 2021 and will cover some of Intel’s low- and mid- tier CPU products. Yole Développement’s report “Computing for Datacenter Servers 2021” and “Processor Quarterly Market Monitor” cover the market space where these events are occurring. Meanwhile, speculation over Intel’s motivation is rampant, as are theories of what this means for the firm’s long-term strategy.

 

For more information, do take a look at Intel turns to TSMC: another step towards fabless?

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CUDA driver version is insufficient for CUDA runtime version

When you do a “/usr/local/cuda-10.1/extras/demo_suite/deviceQuery”. You might get the errors seemed above

[root@node1 ~]# /usr/local/cuda-10.1/extras/demo_suite/deviceQuery
/usr/local/cuda-10.1/extras/demo_suite/deviceQuery Starting...

CUDA Device Query (Runtime API) version (CUDART static linking)

cudaGetDeviceCount returned 35
-> CUDA driver version is insufficient for CUDA runtime version
Result = FAIL

The Issue may cause some confusion. It is not your libraries. But the it is the Power Setting at the BIOS. Most Servers are configured to be balanced. But for GPGPU, you need to put Power to “Maximum Performance”. For example, for HPE Server, you should put “Static High Performance Mode”