Accelerated computing is enabling giant leaps in performance and energy efficiency compared to traditional CPU computing. Delivering these advancements requires full-stack innovation at data-center scale, spanning chips, systems, networking, software, and algorithms. Choosing the right architecture for the right workload with the best energy efficiency is critical to maximizing the performance and…
]]>Predicting 3D protein structures from amino acid sequences has been an important long-standing question in bioinformatics. In recent years, deep learning–based computational methods have been emerging and have shown promising results. Among these lines of work, AlphaFold2 is the first method that has achieved results comparable to slower physics-based computational methods.
]]>The world of computing is on the precipice of a seismic shift. The demand for computing power, particularly in high-performance computing (HPC), is growing year over year, which in turn means so too is energy consumption. However, the underlying issue is, of course, that energy is a resource with limitations. So, the world is faced with the question of how we can best shift our computational…
]]>Computational energy efficiency has become a primary decision criterion for most supercomputing centers. Data centers, once built, are capped in terms of the amount of power they can use without expensive and time-consuming retrofits. Maximizing insight in the form of workload throughput then means maximizing workload per watt. NVIDIA products have, for several generations…
]]>Data centers are an essential part of a modern enterprise, but they come with a hefty energy cost. To complicate matters, energy costs are rising and the need for data centers continues to expand, with a market size projected to grow 25% from 2023 to 2030. Globally, energy costs are already negatively affecting data centers and high-performance computing (HPC) systems. To alleviate the energy…
]]>You could make an argument that the history of civilization and technological advancement is the history of the search and discovery of materials. Ages are named not for leaders or civilizations but for the materials that defined them: Stone Age, Bronze Age, and so on. The current digital or information age could be renamed the Silicon or Semiconductor Age and retain the same meaning.
]]>As the fusion of AI and simulation accelerates scientific discovery, the need has arisen for a means to measure and rank the speed and throughput for building AI models of the world’s supercomputers. MLPerf HPC, now in its third iteration, has emerged as an industry-standard measure of system performance using workloads traditionally performed on supercomputers.
]]>High-performance computing (HPC) has become the essential instrument of scientific discovery. Whether it is discovering new, life-saving drugs, battling climate change, or creating accurate simulations of our world, these solutions demand an enormous—and rapidly growing—amount of processing power. They are increasingly out of reach of traditional computing approaches.
]]>When a technology reaches the required level of maturity, adoption transitions from those considered visionaries to early majority adopters. Now is such a critical and transitional moment for the largest single segment of industrial high-performance computing (HPC). The end of 2021 and beginning of 2022 saw the two largest commercial computational fluid dynamics (CFD) tool vendors…
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