π‘ Dan Stanzione provides an update on the leadership facility at the TACC.
π The relationship between AI and HPC is discussed, emphasizing their importance.
βοΈ Updates on the TACC's systems and experiments, including node sharing and disaggregation.
The demand for high-performance computing (HPC) is increasing rapidly, especially for AI and real-time data processing.
There is still a need for big tightly coupled machines in HPC, even though smaller machines and cloud computing are viable options.
Most of the computing time is dedicated to parallel jobs with a significant number of cores.
β Real HPC usage is not just about ensembles and throughput, there is a demand for running big jobs.
π» When considering what to put in high-performance computing systems, GPUs have a huge advantage in terms of flops per watt compared to CPUs.
π The power per socket in HPC systems has increased, but the cost per socket has also increased, resulting in more efficient use of nodes.
πΏ The rapid decrease in the cost of NVMe drives may make traditional disk storage less viable in the future.
π The increasing use of AI is impacting the field of high-performance computing (HPC).
π Memory bandwidth and GPU usage are important factors in HPC performance.
π‘ The market and vendors' influence on HPC hardware choices is growing.
π‘ The video discusses the importance of investing in AI to maintain global competitiveness and economic benefits.
π» AI and HPC (High Performance Computing) are interconnected, and incorporating AI into HPC can revolutionize job roles and increase productivity.
π Chat GPT, an AI-based tool, can generate code and provide support for programming tasks, improving program productivity and supporting HPC users.
π There is a discussion about canceling jobs in slurm and the investment of staff time in handling tickets.
π€ The speaker highlights the milestone in artificial intelligence by showcasing the ability of computers to lie and be wrong like humans.
π¬ The impact of large language models on HPC groups is considered, with a focus on productivity and budget implications.
π§ The possibility of a U-turn in AI around explainable AI and higher precision is discussed.
πΎ The understanding of memory bandwidth and its impact on applications in different fields is explored.
π Many codes are not close to the ideal memory bandwidth bound, but there is Headway in terms of vectorization.
π The speaker appreciates the discussion on utilization and uptime and shares comparable experiences.
π The importance of IO-related issues in running big jobs in HPC systems.
π The strategy of launching and monitoring job runs multiple times to identify weak nodes and ensure reliability.
πΎ The use of bgfs as a file system and its positive performance compared to luster.
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