🚀 HPC Explained #7: What is GPU computing?
GPUs can perform many similar calculations simultaneously, making them highly useful for HPC.
They accelerate workloads such as scientific simulations, AI, and data analysis through massive parallelism. 💡
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🚀 HPC Explained #6: What is exascale computing?
One quintillion calculations per second.
That’s what exascale computing is all about - systems capable of performing around 1,000,000,000,000,000,000 calculations every second.
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🚀 HPC Explained #4: What is an HPC cluster?
An HPC cluster connects multiple computers, called nodes, to work together.
By combining their processors and memory, clusters can provide computing power for demanding scientific and engineering applications.
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HPC Explained #3: What is parallel computing?
What if you could split one problem into many tasks and solve them all at once?
That’s the idea behind parallel computing, distributing work across multiple processors so calculations can happen simultaneously.
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💡 HPC Explained #1: What exactly is HPC?
High Performance Computing (HPC) brings many processors together to tackle complex calculations at incredible speed.
HPC makes calculations possible that would be far too slow (or even impossible) on a regular computer. 🚀
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